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What is an AI Call Agent?

An AI Call Agent is a voice-first AI system that connects to your existing phone number or SIP carrier and answers every inbound call around the clock. Powered by large language models (LLMs), it understands natural speech, remembers context across the conversation, asks follow-up questions, and responds the way a trained employee would. When it encounters a situation that requires human judgment, it announces the transfer and routes the caller to a live agent with full context already passed across. For example, a dental clinic using Televanta's AI Call Agent can handle every "I need to book an appointment" call automatically, check the calendar in real time, offer available slots, and confirm the booking without any staff involvement. Use case: A hotel front desk receives 200 calls per day. 70 percent are reservation enquiries and standard FAQs. With Televanta, those 140 calls are handled automatically 24/7, freeing staff to focus on guests already in the building.

What is an AI voice agent?

An AI voice agent is a software system that conducts spoken conversations with humans using artificial intelligence. Unlike traditional IVR systems that force callers through rigid menus, an AI voice agent understands natural language. Callers say what they need in their own words and the agent responds intelligently. The best AI voice agents support multiple languages, use high-quality text-to-speech so callers often cannot tell they are speaking with AI, and maintain context across the full length of the call. Televanta's AI voice agent natively supports multiple languages and can be configured for any language your customers speak, including those with limited support on other platforms. For example, instead of pressing 1 for billing and 2 for support, a caller can simply say "I was overcharged on my last invoice" and Televanta's AI voice agent understands the intent, pulls up the account, and either resolves the issue or routes the call to billing with a full summary. Use case: A telecom company replaces its IVR with Televanta's AI voice agent. Customer satisfaction scores rise because callers no longer navigate menus or repeat themselves when transferred.

What is an AI phone agent?

An AI phone agent is an AI-powered system that handles telephone calls the way a human customer service representative would, by listening, understanding, responding, and taking action. The key difference from a chatbot is the medium: an AI phone agent works over voice calls, not text. It connects to any SIP carrier or phone number, handles inbound calls around the clock, and resolves the majority of queries without escalation. For calls it cannot resolve, it transfers to a human agent with a full conversation summary already prepared. Televanta's AI phone agent is designed for businesses that cannot afford to miss a single call. For example, a plumbing company uses Televanta's AI phone agent to handle every call that comes in outside business hours. The agent collects the caller's address, the nature of the problem, and their preferred callback window, then creates a structured job card ready for the morning team. Use case: An insurance broker receives high call volumes after weather events. Televanta's AI phone agent handles the surge in claim enquiries without missed calls or hold times, even at 2am on a Sunday.

How does an AI Call Agent understand what callers say?

An AI Call Agent uses a multi-layer technology stack. First, automatic speech recognition (ASR) converts the caller's voice to text in real time. That transcription is then processed by a large language model (LLM) that understands intent, context, and nuance rather than just matching keywords. A high-quality text-to-speech (TTS) engine then converts the agent's response back into natural-sounding voice. The entire round trip typically happens in under two seconds so conversations feel fluid. Televanta's ASR is tuned for multilingual environments and can be adapted to any language you need. For example, a caller might say "Yeah so I placed an order last Tuesday, I think it was order 4471, and I still haven't received anything." Televanta's AI Call Agent parses the order number, checks the fulfilment system in real time, and replies with the current shipping status, all without a human agent involved. Use case: A logistics company uses Televanta to handle "where is my delivery" calls. The AI queries the tracking API mid-call and gives the caller a live update, resolving 80 percent of delivery enquiry calls without escalation.

What languages do AI Call Agents support?

Modern AI Call Agents powered by large language models support dozens of languages out of the box. The agent detects the caller's language from the first sentence and switches automatically, with no manual configuration per call needed. Language-specific voice personas are available so callers hear an accent and tone appropriate to their region. Televanta supports a wide range of languages out of the box and can be configured for any additional language on request. For example, a company that also serves customers speaking another language across the border can use a single Televanta deployment. The AI answers each caller in their own language from the same phone number. Use case: A hotel chain serves guests from multiple countries who speak different languages. With Televanta, all guest calls are answered in the caller's language automatically, with no multilingual staff required on the front desk overnight.

Can an AI phone agent handle calls 24/7?

Yes, 24/7 availability without queues is one of the core advantages of AI phone agents. The system connects to your SIP carrier or phone number and answers every call the moment it rings, regardless of the time of day, day of the week, or public holidays. Unlike a human team, there is no shift handover, no sick day, and no lunch break. Businesses using Televanta typically see the highest ROI during evenings and weekends when the human team is unavailable but customer demand does not stop. For example, a GP surgery using Televanta handles appointment booking and repeat prescription query calls at 11pm on a Saturday. By Monday morning, the team has a full list of structured callbacks and bookings already in the system. Use case: An e-commerce store runs a Black Friday promotion. Orders and customer queries spike overnight. Televanta's AI phone agent answers every call and handles tracking, return, and product queries through the night without any additional staffing cost.

How does an AI voice agent escalate calls to a human agent?

An AI voice agent monitors each call for escalation triggers: the caller explicitly asks for a human, the AI has attempted to resolve the issue without success, sentiment analysis detects significant frustration, or the topic falls outside the agent's configured knowledge scope. When escalation is triggered, Televanta announces the transfer and routes the call to the next available human agent. The human receives a real-time summary showing intent, key details already gathered, and sentiment score, so the caller does not have to repeat themselves. For example, a caller contacts a bank and asks about a disputed transaction. Televanta gathers the account number, transaction date, and amount, then detects the caller's frustration and escalates. The human agent picks up already seeing the full context and resolves the dispute in under three minutes. Use case: A healthcare clinic uses Televanta to triage all inbound calls. Routine appointment requests go to the AI. Calls involving urgent symptoms or distressed patients are escalated immediately to a nurse with a full call brief already visible on their screen.

Does an AI Call Agent sound like a real person?

Modern AI Call Agents use neural text-to-speech voices with natural pacing, varied intonation, and realistic conversational rhythm. In standard service calls, many callers cannot tell they are speaking with AI. Televanta offers multiple voice personas in different accents, genders, and styles, and can configure a custom voice that matches your specific brand personality. The agent also handles natural conversational elements like brief pauses and acknowledgment phrases that make the interaction feel genuine. For example, a luxury hotel using Televanta configures a calm, warm female voice persona named "Petra" that aligns with the brand's tone. Guests regularly compliment "Petra" in post-stay surveys without realising they spoke with an AI. Use case: A law firm wants to maintain a professional tone on every call. Televanta's AI Call Agent is configured with a formal voice persona and trained on the firm's service areas, so every first call sounds consistent and polished, even at 8am on a Monday.

What tasks can an AI Call Agent handle on a call?

AI Call Agents can handle a wide range of call types including answering frequently asked questions, taking and confirming appointments, qualifying inbound leads and routing them to the right salesperson, handling order status and account queries, processing basic complaints and logging them for follow-up, conducting outbound reminder calls, and collecting customer satisfaction feedback. With Televanta, the agent's capabilities are defined by the knowledge base and business logic you configure, so the more complete your setup, the higher your containment rate. For example, an automotive dealership uses Televanta to handle test drive bookings, service appointment reminders, and parts availability enquiries. All three use cases run from a single Televanta deployment with one knowledge base. Use case: A property management company handles maintenance requests, rent payment queries, and lease renewal questions through Televanta's AI Call Agent. Residents call one number and the AI routes each call to the right outcome, logging everything in the CRM automatically.

How does an AI phone agent connect to an existing phone system?

AI phone agents connect via SIP (Session Initiation Protocol), the standard VoIP protocol used by virtually all modern telephony systems. You can point your existing phone number at Televanta, or provision a new number on your carrier. No hardware changes are required since the integration is handled at the software layer. Televanta is compatible with all major SIP carriers and can be configured alongside existing contact center infrastructure so calls can be routed between AI and human agents seamlessly. For example, a business keeps its existing phone number and SIP carrier unchanged. A simple configuration change routes all inbound calls through Televanta first. Calls the AI cannot handle are forwarded to the existing human team within seconds. Use case: A multi-site retail chain with ten stores and ten phone numbers connects all numbers to Televanta in a single day. Each store number gets its own AI call agent with location-specific knowledge while the IT team makes zero hardware changes.

What is the containment rate for an AI Call Agent?

Containment rate is the percentage of calls that the AI Call Agent resolves fully without needing to escalate to a human. For well-configured Televanta deployments, businesses typically achieve containment rates of 55 to 80 percent within the first 90 days. The rate depends on the complexity of your call mix and how thoroughly your knowledge base is set up. Televanta's operator portal shows containment rate in real time so you can track improvement and identify the most common escalation reasons. For example, a utility company starts at a 45 percent containment rate in week one. After adding 30 more FAQ answers and two new call flows for billing queries, containment rises to 72 percent by week eight. Use case: A telecoms provider uses Televanta's containment report to run a monthly knowledge base sprint. Each month the team adds answers to the top ten unanswered questions. Containment rate increases by 5 to 8 percentage points each cycle.

How does an AI voice agent log and report on calls?

Every call handled by Televanta's AI voice agent is automatically logged in the operator portal with the caller's number, call duration, a full transcript, an AI-generated summary, detected intent, sentiment score, and whether the call was resolved or escalated. The call log is fully searchable so you can find any call by date, phone number, or keyword. Call data can also be exported for reporting or pushed to your CRM via integration. For example, a customer service manager searches "billing dispute" in Televanta's call log and instantly sees every call where that topic came up in the last 30 days, with sentiment scores and outcomes for each one. Use case: A contact center uses Televanta's call log to run weekly QA reviews. Instead of randomly sampling recorded calls, supervisors filter by low sentiment score and review only the calls where customers showed frustration, making quality reviews five times more targeted.

Can an AI Call Agent book appointments during a call?

Yes. Televanta's AI Call Agent integrates with your scheduling system or calendar to check real-time availability, offer the caller suitable time slots, and confirm the booking all during the same call. A confirmation SMS or email is sent automatically after booking. This is one of the highest-value use cases for businesses in healthcare, hospitality, and professional services where appointment booking drives a large share of inbound call volume. For example, a physiotherapy clinic connects Televanta to its booking system. A patient calls at 7pm after hours, selects a Thursday morning slot from the options the AI reads out, and receives a confirmation SMS within 30 seconds. The clinic captures a booking that would have been lost to voicemail. Use case: A hair salon chain with six locations uses Televanta to handle all appointment bookings across every location from a single phone number. The AI asks which location, checks availability, and books, cancels, or reschedules without any staff involvement.

How long does it take to set up an AI phone agent?

A standard Televanta AI phone agent deployment typically goes live in one to three weeks. The main steps are connecting your phone number or SIP carrier, loading your knowledge base with FAQs and business policies, configuring escalation rules and call flows, and running test calls before going live. Complex deployments with deep CRM integration or custom voice personas may take an additional one to two weeks. Televanta's onboarding team guides you through each stage. For example, a small accounting firm onboards Televanta in eight days. Day one is the SIP connection. Days two through five are knowledge base loading. Days six and seven are test calls. Day eight is go-live. Use case: A new restaurant opening in two weeks wants phone reservations handled from day one. Televanta is configured in five days with the menu, opening hours, allergen information, and reservation system connected, and is live before the first customer calls.

Can an AI Call Agent handle outbound calls?

Yes. Televanta supports outbound calling in addition to inbound. Common outbound use cases include appointment reminders, payment due notifications, post-service satisfaction surveys, lead follow-up calls triggered by a form submission or CRM event, and proactive service outage notifications. Outbound calls use the same natural voice and LLM intelligence as inbound, so they feel like genuine calls rather than robocalls. All outbound calls are logged and reported in the same Televanta dashboard as inbound activity. For example, a dental practice uses Televanta to call patients 48 hours before their appointment to confirm attendance. The AI handles confirmations, cancellations, and rescheduling requests in the same call. No-show rates drop by 30 percent. Use case: A recruitment agency uses Televanta to make outbound follow-up calls to candidates 24 hours after application submission. The AI asks three qualifying questions, records the answers, and updates the CRM, giving recruiters a screened shortlist without making a single manual call.

Is an AI voice agent GDPR compliant?

GDPR compliance for AI voice agents requires caller consent managed via a configurable announcement at the start of each call, data stored with encryption at rest and in transit, configurable data retention periods, and the ability to delete caller data on request. Televanta is built for European regulatory requirements, operates within EU data hosting frameworks, and provides a Data Processing Agreement for customers who require it. Businesses in Croatia and across the EU can deploy Televanta with confidence that their call data is handled in compliance with GDPR. For example, every call on Televanta begins with a brief announcement: "This call may be recorded for quality and training purposes." Consent is logged automatically. If a customer later requests data deletion, their call records are removed within the configured retention window. Use case: An insurance company uses Televanta and needs to pass an internal GDPR audit. Televanta provides full documentation of data flows, storage locations, retention policies, and the DPA, allowing the audit to be completed in a single review session.

How does an AI Call Agent handle angry or frustrated callers?

Televanta's AI Call Agent uses real-time sentiment analysis to monitor caller tone and language throughout the call. When frustration is detected through negative language, raised vocal pace, or repeated failed resolution attempts, the agent shifts to a more empathetic response style and can immediately trigger escalation to a human agent with the sentiment flag visible to the receiving agent. The most upset customers are prioritised for human handling rather than kept in an AI loop. For example, a caller contacts a broadband provider for the third time about the same unresolved issue. Televanta detects the escalating frustration, flags the call as high priority, and transfers to a senior support agent with a note showing this is the caller's third attempt and the previous resolution steps that failed. Use case: An energy company uses Televanta's sentiment escalation during billing disputes. Calls that cross a negative sentiment threshold are routed directly to a dedicated retention team, cutting churn by giving upset customers faster access to decision-makers.

Can an AI phone agent qualify sales leads?

Yes. Televanta's AI phone agent can be configured as a lead qualification system. When a prospective customer calls, the agent asks a defined set of qualifying questions covering budget, timeline, company size, and specific need, then scores the lead and routes high-priority prospects to a salesperson via call transfer or schedules a callback. All lead data is pushed to your CRM automatically so your sales team only handles pre-qualified conversations. For example, a SaaS company receives 50 inbound calls per day from website visitors. Televanta qualifies each caller with four questions. Leads that meet the ideal customer profile are transferred immediately to a sales rep. Others are logged with their answers for follow-up within 24 hours. Use case: A commercial solar installer uses Televanta to handle enquiry calls from business owners. The AI asks about roof size, energy spend, and ownership status. Qualified leads are connected live to the sales team. The team's close rate improves because every call they take is already pre-screened.

What industries use AI Call Agents?

AI Call Agents are deployed across a wide range of industries. Healthcare uses them for patient appointment booking, clinic FAQs, and test result notifications. Hospitality uses them for hotel reservations, check-in queries, and concierge requests. Telecoms deploy them for account queries, technical support triage, and service outage information. Insurance companies use them for claim status, policy queries, and renewal reminders. Televanta serves all of these verticals with industry-specific knowledge base templates that accelerate setup. For example, a hospital network uses Televanta across five departments: outpatient bookings, pharmacy queries, lab result notifications, discharge follow-ups, and general visitor information. Each department has its own call flow while sharing the same Televanta platform. Use case: A regional insurance company uses Televanta to handle the first wave of claims calls after a storm event. The AI logs all claim details, policy numbers, and contact information, creating structured cases for adjusters who would otherwise spend their morning taking notes instead of processing claims.

How does an AI Call Agent compare to a traditional IVR?

Traditional IVR systems present callers with rigid menus such as pressing 1 for billing or 2 for support. Callers find them frustrating and frequently press 0 to bypass them. Televanta's AI Call Agent accepts natural speech: the caller simply says what they need and the agent responds intelligently. The result is significantly higher first-call resolution, better customer satisfaction scores, and a much lower rate of unnecessary escalation. Televanta also does not require manual rebuilding of decision trees when your business changes. For example, a utility company replaces a 12-option IVR menu with Televanta's AI Call Agent. Callers who previously abandoned the IVR in frustration now complete their enquiry in under two minutes. Average handle time falls from 8 minutes to 3 minutes. Use case: A local council switches from IVR to Televanta for its public enquiry line. Residents can say "I want to report a pothole" or "When does the food waste bin get collected?" and get an accurate answer or be routed to the right department, without navigating a menu.

How much does an AI Call Agent cost?

AI Call Agent pricing typically follows per-minute, per-call, or monthly subscription models. Per-minute pricing ranges from around 5 to 25 cents per minute. Monthly subscriptions for small businesses start from around 100 euros per month and scale for enterprise deployments. With Televanta, pricing is based on your call volume, number of languages, and integration requirements. Visit televanta.ai/pricing for current plans. Most businesses find Televanta pays for itself within 60 to 90 days through reduced staffing costs and captured after-hours revenue. For example, a business handling 1,000 calls per month at an average of 3 minutes each would use 3,000 minutes of AI call time. At Televanta's per-minute rate, this is typically a fraction of the cost of even one part-time customer service employee. Use case: A growing startup calculates that hiring a full-time receptionist costs 2,000 euros per month. Televanta handles the same call volume for a fraction of that cost, freeing the budget for product development while improving response time for every caller.

Can an AI voice agent handle multiple calls at the same time?

Unlike a human agent who can handle only one call at a time, Televanta's AI voice agent handles unlimited concurrent calls. There is no queue and every caller is answered immediately regardless of how many other calls are active at the same moment. This makes Televanta particularly valuable during peak periods, product launches, or unexpected demand spikes when a human team would be overwhelmed. Capacity scales automatically based on your Televanta plan and real-time usage. For example, a travel company sends a promotional email to 50,000 customers on a Monday morning. Within an hour, 300 calls come in simultaneously. Televanta answers all 300 in parallel with no hold time, while a human team of five would have kept most callers waiting for 30 minutes or more. Use case: A ticketing company announces a popular concert on-sale. Call volume spikes 20x in ten minutes. Televanta handles every call simultaneously, answering availability and booking questions without a single engaged tone. The human team handles only the complex seating requests that need judgment.

Does an AI phone agent integrate with CRM software?

Yes. Televanta integrates with major CRM platforms to automatically log calls, update contact records, create follow-up tasks, and push call summaries and sentiment data after each interaction. When a caller's number matches an existing CRM record, Televanta pulls that context into the call, personalizing the conversation with the caller's name, account status, or recent interaction history. Specific integrations are listed on the Televanta integrations page; the team can also configure custom integrations via API. For example, a returning customer calls a software company. Televanta pulls their CRM record, sees they raised a support ticket two days ago, and greets them: "Hi Sarah, are you calling about the issue you reported on Tuesday?" The caller feels recognised and the resolution is faster. Use case: A car dealership uses Televanta's HubSpot integration to log every service enquiry call. After each call, the CRM contact is updated with call duration, sentiment, and a summary. Sales reps can see the full call history before they follow up, making every conversation more relevant.

What is the difference between an AI Call Agent and an AI chatbot?

Televanta's AI Call Agent handles telephone conversations, spoken voice calls over your phone number or SIP line. The AI Chatbot handles written text conversations on your website, app, or messaging platforms. Both are powered by LLM intelligence and share a common knowledge base, but they serve different customer touch points. Many businesses deploy both: the AI Call Agent for phone traffic and the AI Chatbot for website and messaging traffic, with both feeding into the same unified Televanta dashboard. For example, a customer who discovers a product on the website at midnight chats with the Televanta chatbot, gets their questions answered, and books a demo. The same customer calls the next morning and is greeted by Televanta's AI Call Agent which can see the chat history and picks up the conversation in context. Use case: A B2B software company deploys both Televanta channels. The chatbot handles website visitors during working hours and overnight. The AI Call Agent handles all inbound phone enquiries. Both feed into the same Salesforce instance, giving the sales team a unified view of every prospect interaction.

Can I see a transcript of every call the AI phone agent handles?

Yes. Televanta automatically generates a full searchable transcript for every call. In the operator portal you can open any call and see the complete word-for-word transcript, an AI-generated summary of what was discussed, the caller's detected intent, the sentiment score at each stage of the call, and whether the call was resolved or escalated. This gives complete visibility without having to listen to individual recordings. For example, a compliance officer at a financial services firm searches Televanta's transcript log for the phrase "cancel my account" and reviews every instance from the last 90 days, identifying patterns in the reasons customers are leaving without listening to a single recording. Use case: A franchise operator with 20 locations uses Televanta's transcript search to monitor call quality across the network. Any transcript mentioning "complaint" or "unhappy" is flagged for manager review, creating a lightweight quality assurance process with no manual call listening required.

How do AI voice agents handle multilingual calls?

Televanta's AI voice agent detects the language of the caller's first sentence and responds in that language automatically, with no manual configuration required per call. If the caller switches language mid-conversation, which commonly happens in bilingual markets, the agent follows the switch and continues in the new language without losing context. Televanta supports a wide range of languages, which is particularly valuable for businesses serving customers across multiple regions. For example, a caller starts in one language, switches to another mid-call when discussing a technical specification, then switches back for the booking confirmation. Televanta handles all segments of the call correctly without any interruption. Use case: An e-commerce company sells to customers in multiple countries. With Televanta, all customer service calls are answered in the right language automatically from a single deployment, with no separate phone numbers or agents for each market.

What happens if an AI Call Agent cannot answer a question?

When Televanta's AI Call Agent encounters a question outside its knowledge base, it does not guess or fabricate an answer. Instead, it acknowledges the limit honestly, offers the caller a clear next step either by escalating to a human agent or taking a message for callback, and logs the unanswered question in the Televanta portal. This unanswered questions log shows you exactly what your knowledge base is missing so you can fill the gaps and improve containment over time. For example, a caller asks about a new product variant that was just added to the catalogue but not yet added to the AI's knowledge base. Televanta says "I don't have the details on that specific option just yet" and offers to connect them with a product specialist or take a callback request. Use case: A software company reviews Televanta's unanswered questions report every Monday. The top three unanswered questions from the previous week are added to the knowledge base. Within 12 weeks of launch, the AI resolves 94 percent of calls without escalation, up from 58 percent on day one.

Can an AI Call Agent take messages and schedule callbacks?

Yes. When a call cannot be resolved immediately and no human agent is available for transfer, Televanta's AI Call Agent takes a structured message from the caller, capturing their name, contact number, the reason for the call, and any relevant details, and logs it in the Televanta portal with a callback task. The caller is given a realistic timeframe for the callback. Every out-of-hours call results in actionable follow-up rather than a missed opportunity. For example, a financial adviser's office closes at 6pm. A prospective client calls at 8pm. Televanta collects their name, phone number, the type of advice they are looking for, and their preferred callback window. The adviser arrives in the morning to a structured list of warm leads to call back. Use case: A property lettings agency uses Televanta's callback flow for weekend calls. Tenants reporting maintenance issues leave a structured message with the property address, issue description, and urgency level. The maintenance coordinator arrives Monday morning with a prioritised job list ready to dispatch.

How does an AI voice agent improve over time?

Televanta's AI voice agent improves through a combination of knowledge base updates and performance analytics. The operator portal shows the most common escalation reasons, unanswered questions, and low-confidence responses, giving you a clear action list for each optimization cycle. When you add new content to your knowledge base the AI incorporates it immediately without retraining. Over the first 90 days, most businesses using Televanta see containment rate increase by 15 to 25 percentage points. For example, a customer service manager at a telecoms company runs a fortnightly Televanta review. They add the top unanswered questions to the knowledge base, adjust two call flows based on escalation patterns, and update the FAQ with three new product questions. Each cycle, fewer calls reach human agents. Use case: A retail chain tracks Televanta's monthly performance report. In month one, 40 percent of calls were resolved by the AI. By month six, after systematic knowledge base improvements, 74 percent are resolved without human involvement, reducing the contact centre headcount needed by two full-time equivalents.

Are AI Call Agents suitable for small businesses?

Absolutely. Small businesses benefit enormously from AI call agents because they cannot afford a full call center team but still need to capture every lead and support every customer. With Televanta, a small business can answer calls when the owner or a small team is unavailable, qualify leads, book appointments, and handle FAQs, all for a monthly cost significantly lower than a single part-time hire. Televanta offers plans sized for small businesses with lower monthly call volumes. For example, a one-person consultancy uses Televanta to answer calls while the owner is in client meetings. Callers receive a professional response, are asked qualifying questions, and are offered a booking link. The owner checks the Televanta dashboard between meetings and calls back only the highest-priority leads. Use case: A small plumbing company uses Televanta to capture every emergency call overnight and on weekends. The AI collects the caller's address, describes the nature of the problem, and logs a job card. The owner wakes up to a prioritised job list and never misses a callout again.

Can an AI phone agent handle both inbound and outbound calls?

Yes. Televanta handles both inbound and outbound telephony from a single platform and dashboard. On the inbound side, it answers every call to your number instantly. On the outbound side, it initiates calls for reminders, surveys, lead follow-up, and notifications. Both use the same knowledge base and voice persona, and all activity feeds into the same reporting dashboard, giving you a consistent brand voice and complete call visibility across all telephone interactions. For example, a dental practice uses Televanta for inbound appointment booking and outbound appointment reminders. The same voice persona handles both, so patients experience a consistent brand voice whether they call the clinic or receive a reminder call from it. Use case: An estate agency uses Televanta for inbound property enquiries and outbound follow-up calls to leads who submitted a valuation request form online. The same Televanta deployment handles both directions, and all call outcomes sync to the agency's CRM automatically.

What data does an AI Call Agent collect during a call?

During each call Televanta captures the caller's phone number, call timestamp and duration, a full transcript, detected intent and topic, sentiment score, whether the call was resolved or escalated, and any structured data collected during the call such as a name, booking reference, or appointment preference. This data is stored securely in Televanta's platform and, where integrated, pushed to your CRM automatically. Callers are notified of recording via a configurable announcement at the call's start. For example, a customer calls a car rental company. Televanta logs the call time, the rental location they asked about, their pick-up date, vehicle preference, and that they mentioned having a corporate account. The CRM record is updated with all of this before the call even ends. Use case: A facilities management company uses Televanta's call data to understand which sites generate the most client enquiries and what types of requests are most common. This informs staffing decisions and helps them prepare more targeted proposals for contract renewals.

How do AI Call Agents handle sudden spikes in call volume?

Televanta scales horizontally and automatically. When call volume spikes, additional AI instances spin up in real time to answer every call simultaneously. There is no maximum concurrent calls limit in the traditional sense. The platform handles surges during product launches, marketing campaigns, service outages, or seasonal peaks without manual intervention or degradation in response quality. This is a structural advantage over human call teams, which require advance notice and recruitment to scale. For example, a broadband provider announces a service outage via email at 9am. Within 15 minutes, 500 customers call simultaneously. Televanta answers every call in parallel, provides the outage status and estimated resolution time, and deflects all 500 calls without a single customer reaching a hold queue. Use case: A government agency runs a public information campaign about a new benefit. Call volume to the enquiry line increases 15x on the day of the announcement. Televanta handles the surge without any pre-planning or staffing changes, delivering consistent information to every caller.

Can an AI voice agent recognize returning callers?

Yes. When a returning caller's phone number matches a record in your CRM or Televanta's call history, the AI voice agent can greet them by name, reference their previous interactions, and skip questions already answered in prior calls. This significantly improves the caller experience since a customer calling about a follow-up to a previous issue does not have to re-explain their situation from scratch. Caller recognition is configured as part of your Televanta CRM integration. For example, a returning patient calls their GP surgery. Televanta sees the phone number, retrieves the patient name from the CRM, and greets them: "Hi David, are you calling to book a follow-up appointment?" The patient confirms and the booking is made in under 90 seconds. Use case: A luxury car service uses Televanta's caller recognition to deliver a premium experience. Returning clients are greeted by name, their preferred vehicle type is remembered, and their usual pick-up location is offered as the default. The AI handles the call the way a personal concierge would.

What is the difference between an AI voice agent and a voicebot?

Traditional voicebots follow pre-scripted paths. They recognize specific keywords and route callers through decision trees and break down as soon as a caller says something unexpected. Televanta's AI voice agent uses large language models to understand intent in natural language, handle topic changes, manage interruptions, and hold multi-turn conversations. The practical difference is significant: voicebots frustrate callers while AI voice agents resolve their issues. For example, with a traditional voicebot, a caller saying "I want to know about my standing order" might trigger "I'm sorry, I didn't understand that" because the system only recognises "transfer money" as a keyword. Televanta understands the intent correctly and responds with the right information. Use case: A credit union replaces its decade-old voicebot with Televanta. Within 30 days, call abandonment rates fall from 34 percent to 8 percent. Members who previously hung up in frustration now complete their enquiries because the AI actually understands what they are saying.

How do call transfers work between an AI agent and a human agent?

When a transfer is triggered, Televanta performs a warm SIP transfer to the next available human agent. Before the caller is connected, the human agent receives a real-time briefing in their interface showing the call summary, detected intent, key information already collected, and the caller's sentiment score. The human agent can greet the caller with context rather than asking them to start over. Transfer wait time is minimized through your configured queue logic. For example, a caller is transferred from Televanta to a billing specialist. The specialist's screen shows: "Caller: Maria Kovač. Issue: Invoice from October is 45 euros higher than expected. Sentiment: Frustrated. Previous resolution attempt: AI could not access invoice details." The specialist greets Maria by name and addresses the specific issue immediately. Use case: A software support team uses Televanta to handle first-line technical queries. When a call escalates, the developer receiving the transfer can see the full troubleshooting steps the AI already took, avoiding duplication and cutting average resolution time by 40 percent.

How does an AI Call Agent handle calls in multiple languages?

Televanta is designed for multilingual business environments. The AI Call Agent detects the language of the caller's first message and responds in that language. If the caller switches language mid-conversation, the agent follows the switch and continues in the new language without losing conversational context. This is particularly valuable for businesses in multilingual markets where callers naturally move between multiple languages in the same call. For example, a business owner calls a government services line and starts in one language but switches to another when describing a specific technical term from their import licence. Televanta handles the switch mid-sentence and continues the conversation correctly in the second language before reverting for the summary. Use case: A logistics company operating across the Adriatic region uses Televanta's multilingual capability to serve clients speaking different languages from one phone line. No routing rules are needed: the AI handles each caller in their language automatically.

What reporting does an AI Call Agent dashboard provide?

Televanta's operator dashboard shows live and historical data including calls today and this month, containment rate, average call duration, satisfaction score, active agents at any moment, a live call volume chart, per-agent performance metrics, most common call intents, escalation rate, and unanswered question frequency. All metrics update in real time and you can filter by date range, agent, language, and call outcome. The data is exportable for business reporting. For example, an operations director at a contact center opens Televanta's dashboard on Monday morning and in under five minutes sees which call intents drove the most escalations last week, which agents received the most transfers, and what the top three unanswered questions were. Use case: A franchise network uses Televanta's reporting to compare performance across 15 locations. Franchisees with the highest escalation rates are identified and coached on knowledge base improvements. Underperforming locations improve containment by 20 percent within two months.

Can an AI phone agent send SMS or email follow-ups after a call?

Yes. Televanta can be configured to send automated SMS or email follow-ups after a call concludes, for example an appointment confirmation, a summary of what was discussed, a link to a relevant resource, or a payment link. These post-call messages are triggered by call outcome and are fully templatable. All follow-up messages are logged in the Televanta call record alongside the transcript and summary. For example, a caller books a service appointment over the phone with Televanta. Within 30 seconds of ending the call, they receive an SMS confirming the date, time, location, and a link to add the appointment to their calendar. The confirmation requires no manual action from any staff member. Use case: A utilities company uses Televanta to send post-call SMS summaries after every technical support call. The SMS includes the reported fault reference number, the estimated resolution time, and a link to the customer's support portal. Customer satisfaction scores improve because callers have a written record of what was promised.

How do I get started with an AI Call Agent?

Getting started with Televanta begins with a free demo at televanta.ai/contact. During the demo, the Televanta team reviews your current call volume, the types of calls you receive, and your goals for automation. Onboarding typically takes one to three weeks and includes phone number connection, knowledge base setup, call flow configuration, and test calls before go-live. Televanta's team supports you through the entire setup process and remains available for ongoing optimization after launch. For example, a business owner books a Televanta demo on Monday, completes the knowledge base questionnaire by Wednesday, approves the first test calls the following Monday, and is live by Friday of that week, answering every inbound call while focusing on the work only they can do. Use case: A growing logistics company has just hired its 20th employee and is finding that inbound customer calls consume too much team time. After a Televanta demo, they go live in 12 days. Within 30 days, 65 percent of inbound calls are handled by AI, freeing the team for higher-value work.

What is an AI Chatbot Agent?

An AI Chatbot Agent is a text-based conversational AI that handles two-way messaging with your customers on your website, in your app, or via messaging platforms. Unlike simple FAQ bots that match keywords to canned responses, Televanta's AI Chatbot Agent uses a large language model to understand intent, maintain context across a conversation, and take action: qualifying leads, booking appointments, answering detailed product questions, and routing complex queries to a human agent. It is available 24 hours a day and handles unlimited simultaneous conversations. For example, a visitor lands on a B2B software pricing page at 11pm. Televanta's AI Chatbot greets them, asks what they are trying to solve, determines they are a decision-maker at a mid-market company, and offers to book a demo for the next morning, all without any human involvement. Use case: A professional services firm adds Televanta's AI Chatbot to their website. Within 30 days, the chatbot is capturing 15 qualified demo requests per week that previously went to a contact form with a two-day follow-up lag. Average response time drops from 48 hours to 30 seconds.

How does an AI Chatbot qualify leads?

Televanta's AI Chatbot can be configured with a lead qualification flow that activates when a visitor engages. The chatbot asks a natural sequence of qualifying questions covering company size, use case, timeline, and budget range, then uses the answers to score the lead. High-scoring leads are immediately routed to a salesperson via notification or CRM task, or offered a direct calendar booking link. Lower-priority leads are nurtured with relevant content and logged for later follow-up. The entire process runs automatically around the clock without human involvement until a qualified prospect is ready to talk. For example, a visitor to a cloud storage company's pricing page is engaged by Televanta's chatbot. Four conversational questions establish that they manage 200 employees and have a 10,000 euro annual software budget. The chatbot scores the lead as high-priority and immediately sends a Slack notification to the sales team with a full lead summary. Use case: A cybersecurity company uses Televanta's chatbot lead scoring to filter website visitors. The sales team previously received 80 unqualified enquiries per week. After deploying Televanta's qualification flow, they receive 20 enquiries per week, all pre-screened, and their close rate doubles.

Can an AI Chatbot work alongside an AI Call Agent?

Yes, and this omnichannel approach is one of the strongest reasons to use both together. Televanta's AI Chatbot and AI Call Agent share the same underlying knowledge base and feed data into the same unified dashboard. A customer can start a conversation on the website chatbot and escalate to a phone call handled by the AI Call Agent with full context passed across. Your team has a single view of all customer interactions regardless of channel and customers never have to repeat themselves when switching between text and voice. For example, a customer chats with Televanta's chatbot about a product compatibility question at lunchtime. Unsatisfied, they call the company that afternoon. Televanta's AI Call Agent pulls up the chat history and greets them: "I can see you were asking about compatibility earlier, shall I pick up where we left off?" Use case: A managed IT support company deploys both Televanta channels. Clients reach out by chat for quick questions and by phone for urgent issues. All interactions appear in the same Televanta dashboard and sync to their PSA tool, giving technicians a complete client communication history in one place.

How do I add an AI Chatbot to my website?

Adding Televanta's AI Chatbot to your website takes a single line of JavaScript that you paste before the closing body tag of your site. The chatbot widget then appears as a floating button on every page. For common platforms like WordPress, Shopify, and Webflow, Televanta offers one-click plugins that handle installation without any code. Once embedded, the chatbot is immediately live and pulling from your configured knowledge base. The widget's appearance including color, position, logo, and welcome message is fully customizable. For example, a Shopify store owner installs the Televanta chatbot plugin in three minutes, sets the brand color to match the store, configures a welcome message in their preferred language, and the chatbot is live answering product questions for the next visitor who lands on the site. Use case: A digital marketing agency deploys Televanta's AI Chatbot across five client websites in a single afternoon. Each chatbot is customized with the client's brand colors and trained on the client's product FAQs. Setup time per client averages 45 minutes.

What languages does an AI Chatbot support?

Televanta's AI Chatbot detects the visitor's language from their first message and replies in the same language automatically. A wide range of languages is supported natively, and any additional language can be added on request. For businesses serving multilingual markets in Central and Eastern Europe, this automatic language handling means every visitor gets a response in their preferred language without any manual routing or separate chatbot deployments per language. For example, an online pharmacy serves customers from multiple countries. The Televanta chatbot answers each customer in their own language, all from the same website widget without any additional configuration. Use case: A regional bank with branches in different countries uses Televanta's chatbot on its website to handle account queries. Customers reach the same chat widget and are answered in their language automatically. The bank eliminates the need for separate different languages chatbot configurations.

Can an AI Chatbot book appointments?

Yes. Televanta's AI Chatbot connects to your scheduling system to check real-time availability, present the visitor with open slots, and confirm a booking all within the chat window. After booking, a confirmation is sent via email or SMS. This eliminates the friction of directing visitors to a separate booking page and is particularly effective for healthcare, services, and hospitality businesses where appointment booking is a primary driver of website visits. For example, a physiotherapy practice connects Televanta's chatbot to their booking system. A website visitor chats at 10pm, picks a Thursday morning slot from three options offered by the chatbot, and receives a booking confirmation email within 60 seconds. The practice captures the booking without any staff involvement. Use case: A beauty salon adds Televanta's chatbot to its website after losing bookings to competitors offering online scheduling. Within two weeks, 40 percent of new bookings come through the chatbot, including a significant share from evening visits when the salon is closed.

How does an AI Chatbot handle conversations it cannot resolve?

When Televanta's AI Chatbot reaches the limit of its configured knowledge or the visitor requests a human, it escalates the chat to a live agent. The human agent receives the full conversation history in their interface so they can pick up exactly where the AI left off without asking the customer to repeat themselves. During out-of-hours periods, the chatbot collects the customer's contact information and query details and creates a follow-up task for the next available agent. For example, a visitor to a legal services website asks a highly specific question about cross-border tax law that falls outside the chatbot's knowledge base. Televanta says "That is a specific area I want to make sure you get the right answer on. Let me connect you with one of our specialists." The specialist receives the full chat history before the handoff. Use case: A software company's Televanta chatbot handles 85 percent of all chat conversations without human involvement. For the 15 percent that escalate, the full chat transcript is visible to the support agent in their helpdesk tool before they send their first message. Average resolution time for escalated chats falls by 35 percent.

Does an AI Chatbot work on WhatsApp and other messaging platforms?

Yes. Televanta's AI Chatbot supports omnichannel deployment. In addition to your website, it can be configured for WhatsApp Business, Facebook Messenger, Instagram DMs, and SMS. The same knowledge base powers all channels so you maintain consistent, accurate responses wherever the conversation happens. WhatsApp deployment requires a verified WhatsApp Business account. Contact the Televanta team to confirm which channels are supported for your region and use case. For example, a restaurant uses Televanta's chatbot on its website and WhatsApp Business number. Customers who prefer to message on WhatsApp get the same quality of reservation experience as those who use the website widget, all powered by the same Televanta knowledge base. Use case: A property management company deploys Televanta on both its website and WhatsApp. Tenants who prefer to communicate via WhatsApp can report maintenance issues, check payment status, and receive updates through the same chatbot that handles website visitors, with all conversations logged in the same dashboard.

How does an AI Chatbot improve website conversion rates?

Televanta's AI Chatbot improves conversion by engaging visitors proactively at high-intent moments, for example when they have spent 30 seconds on the pricing page, when they show exit intent, or when they visit a product page for the second time. By answering objections in real time and making it frictionless to take the next step, the chatbot reduces the gap between interest and action. Businesses typically see conversion rate improvements of 15 to 30 percent in the first 60 days with Televanta. For example, a visitor reads a product page for 45 seconds and moves their cursor toward the close button. Televanta's chatbot sends a proactive message: "Not sure if this is the right fit? I can help you compare our plans." The visitor engages, gets their question answered, and starts a free trial instead of leaving. Use case: An online B2B training platform adds Televanta's chatbot with a proactive trigger on the course catalogue page. Visitors who spend more than 60 seconds are engaged with "Can I help you find the right course for your team?" Conversion from page view to free trial signup increases by 22 percent within 45 days.

What analytics does an AI Chatbot dashboard provide?

Televanta's dashboard shows chatbot performance metrics including total conversations, resolution rate, escalation rate, average conversation length, most common topics, unanswered question frequency, lead capture rate, booking conversion rate, and customer satisfaction scores from post-chat surveys. All metrics are updated in real time and filterable by date range and channel. The unanswered questions report shows exactly what visitors are asking that your Televanta knowledge base does not yet cover. For example, a marketing manager reviews Televanta's chatbot report on a Monday morning and sees that "what is your cancellation policy" was the most common unanswered question last week. They add the answer to the knowledge base and the following week that question is resolved by the AI 100 percent of the time. Use case: A SaaS company's customer success team uses Televanta's chatbot analytics to identify product confusion. When a feature name appears repeatedly in unanswered questions, it signals a UX problem rather than a knowledge base gap. The team fixes the product documentation and the question disappears from the Televanta report within two weeks.

Is an AI Chatbot GDPR compliant?

Televanta's AI Chatbot is built for GDPR compliance. Visitor consent is managed via a configurable consent notice before the first message is sent. Chat data is stored with encryption at rest and in transit. Data retention periods are configurable and all personal data can be deleted on request to fulfil data subject rights. Televanta operates within European data protection frameworks and provides a Data Processing Agreement for customers who require it. For example, an e-commerce company adds the Televanta consent notice in the local language before the chatbot activates. Visitors who do not consent are shown a contact form instead. The company's DPO approves the Televanta configuration in a single review session. Use case: A healthcare technology company uses Televanta's chatbot on its patient portal. The GDPR configuration ensures no personal health information is stored beyond the session, and all chat data is held within EU data centers, allowing the company to deploy the chatbot while meeting healthcare data regulations.

Can an AI Chatbot be trained on my own content?

Yes, and this is central to how Televanta works. You provide your own content such as website pages, FAQ documents, product specifications, pricing sheets, support guides, and policy documents. Televanta indexes this content and uses it as the knowledge base for all chatbot responses. The AI grounds its answers in your content rather than generating generic responses. Updates to your knowledge base are reflected in Televanta's chatbot responses immediately without any retraining process. For example, a software company uploads their 40-page product documentation PDF to Televanta. Within minutes, the chatbot can accurately answer detailed technical questions from the documentation, questions that would have previously required a developer to answer. Use case: A law firm uploads its practice area descriptions, frequently asked client questions, and fee guide to Televanta's knowledge base. The chatbot on the firm's website answers prospective client questions accurately without the team having to handle routine first-contact enquiries. The lawyers only engage with leads that are already informed and ready to discuss their case.

How does an AI Chatbot handle sensitive customer information?

Televanta's AI Chatbot is configured to avoid storing sensitive personal data such as payment card numbers or medical details in chat logs. If a customer shares information of this type, the agent acknowledges it for the purpose of the conversation but does not persist it beyond the session. For use cases that require handling of sensitive data such as healthcare or financial services, Televanta offers enhanced compliance configurations with additional data handling controls. For example, a patient chats with a clinic's Televanta chatbot and mentions a medication they are taking as context for their appointment request. Televanta acknowledges the information to assist with the booking but does not store the medication detail in the chat log. Only the booking information is retained. Use case: A financial advisory firm uses Televanta's chatbot for initial client enquiries. The chatbot is configured to redirect any conversation involving account numbers or transaction details to a secure human channel rather than continuing in chat. This protects sensitive data while still providing a responsive first point of contact.

Can I customize how an AI Chatbot looks and communicates?

Yes. Televanta's AI Chatbot widget is fully customizable. You can set brand colors, upload your logo, choose the widget's position on screen, customize the welcome message, and give the chatbot a name and personality that fits your brand voice. You can also configure the agent's tone from formal to conversational to match how your business communicates. Enterprise customers can access additional customization including white-labeling and custom domain hosting for the Televanta chat widget. For example, a luxury travel company names their Televanta chatbot "Aurora," sets the widget colors to match their brand palette, configures a warm, sophisticated welcome message, and trains Aurora on their exclusive destination portfolio. Every visitor interaction feels like a conversation with a knowledgeable personal travel advisor. Use case: A franchise network uses Televanta to deploy branded chatbots across 20 franchise locations. Each location's chatbot shares the same knowledge base but has a location-specific welcome message, the local address and phone number, and the local manager's availability schedule. Setup takes 15 minutes per location.

What is the difference between an AI Chatbot and a rule-based chatbot?

Rule-based chatbots operate on decision trees. If the user says X, show menu Y. They are brittle since any phrasing not covered in the decision tree causes the bot to fail. Televanta's AI Chatbot uses a large language model to understand intent in natural language regardless of how the question is phrased. A visitor asking "what's your refund policy" and "can I get my money back" are understood as the same question. This dramatically increases the range of queries handled successfully. For example, a visitor types "do you ship to Bosnia?" A rule-based chatbot with no exact match returns "I didn't understand that." Televanta's AI Chatbot understands the delivery question, checks the configured shipping policy, and answers "Yes, we ship to Bosnia and Herzegovina. Delivery typically takes 3 to 5 business days." Use case: A consumer electronics retailer replaces its rule-based chatbot with Televanta after finding that 60 percent of chatbot interactions ended in "I'm sorry, I didn't understand." After switching to Televanta, the unintelligible response rate drops to 4 percent and chat satisfaction scores increase by 38 points.

Does an AI Chatbot support file and image uploads?

Televanta's AI Chatbot supports document and image uploads within the chat interface depending on your configuration. A customer can upload a photo of a damaged product, a copy of an invoice, or a PDF document and the AI can reference the content in its response. This is particularly useful for support use cases where visual context from the customer speeds up resolution significantly. For example, a customer contacts a home appliance company via Televanta's chatbot and uploads a photo of the damaged packaging their product arrived in. Televanta acknowledges the damage, logs the image, and initiates the returns process without the customer needing to speak to an agent. Use case: A business insurance company uses Televanta's file upload capability to let clients submit policy documents directly in the chat. The AI reads the policy details, answers coverage questions based on the specific document, and creates a ticket for the broker to review. What previously required a phone call and an email is completed in a single chat session.

How quickly does an AI Chatbot respond to messages?

Televanta's AI Chatbot responds to each message within one to three seconds. This near-instant response creates a conversational experience that feels genuinely interactive rather than robotic. Fast response time matters significantly for conversion: visitors who receive an instant reply are significantly more likely to continue the conversation and complete a desired action. Televanta's response latency is consistent regardless of conversation volume, time of day, or message complexity. For example, a visitor asks a product question at 9am when website traffic is at its peak. They receive a Televanta response in 1.4 seconds. The same visitor asks another question at 3am when traffic is minimal. They receive a response in 1.4 seconds. The experience is identical regardless of when they reach out. Use case: A travel agency finds that chatbot conversations started within 30 seconds of a page visit convert to bookings at twice the rate of conversations started after a one-minute wait. Televanta's sub-two-second response time ensures every visitor gets a timely first reply, maximising the conversion window.

Can an AI Chatbot send proactive messages to website visitors?

Yes. Televanta's AI Chatbot can be configured to send proactive messages based on behavioral triggers, for example when a visitor has spent time on a pricing page, when they show exit intent, when they visit a product page for the second time, or when they add items to a cart without checking out. Proactive engagements at high-intent moments typically convert significantly better than waiting for the visitor to initiate a conversation. For example, a visitor spends 90 seconds reading a SaaS pricing page and then moves their cursor upward toward the browser tab. Televanta triggers a proactive message: "Trying to decide between our plans? I can help." The visitor responds, gets their question answered, and starts a free trial instead of leaving. Use case: A furniture e-commerce store configures Televanta to send a proactive message to visitors who have added items to their cart but have not checked out after five minutes. The message offers to answer any product questions or suggest a delivery option. Cart abandonment falls by 18 percent within 60 days of activation.

How does an AI Chatbot handle peak website traffic?

Televanta's AI Chatbot scales automatically with traffic. Whether you have 5 or 5,000 simultaneous chat conversations, every visitor receives an immediate full-quality response with no degradation. This makes Televanta particularly valuable during product launches, marketing campaigns, or seasonal peaks when website traffic spikes unpredictably. There is no manual scaling required since the platform handles demand surges automatically at the infrastructure level. For example, a clothing brand launches a sale campaign to 200,000 email subscribers on a Saturday morning. Website traffic increases 10x in 30 minutes. Televanta handles thousands of simultaneous chatbot conversations answering questions about sizing, delivery times, and discount codes without any performance drop. Use case: A ticket sales website uses Televanta to handle the chatbot traffic surge when a major event goes on sale. Historically, their live chat team was overwhelmed and response times stretched to 45 minutes. With Televanta, every visitor gets an immediate response and the live team only handles the small percentage of complex requests that require human judgment.

How do I get started with an AI Chatbot Agent?

Getting started with Televanta's AI Chatbot begins with a free demo at televanta.ai/contact. The team reviews your website traffic, the types of customer questions you receive most often, and your goals for automation. Setup typically takes five to ten business days and includes knowledge base loading, widget customization, behavior trigger configuration, and a testing phase before go-live. After launch, Televanta's analytics dashboard shows exactly where to improve based on real visitor behaviour. For example, a retail business owner books a Televanta demo on Wednesday, spends an afternoon completing the knowledge base questionnaire with their team, approves the widget design on Friday, and has a live chatbot handling customer questions the following Tuesday. Use case: A B2B SaaS startup deploys Televanta's chatbot two weeks before a product launch. The chatbot is trained on the product's feature list, use cases, and pricing. By launch day it is already tested and live, handling every visitor question without the founding team needing to monitor the website chat around the clock.

What is an AI Email Agent?

An AI Email Agent is an AI-powered system that monitors your customer-facing inbox, reads incoming emails, understands what the sender needs, and takes action: either responding automatically, routing the email to the right team member, or drafting a reply for human approval. Televanta's AI Email Agent operates continuously, processing emails within seconds of receipt regardless of the time of day. For businesses receiving high volumes of repetitive customer emails, it dramatically reduces response times and frees your team to focus on complex or high-value interactions. For example, a customer emails a logistics company at 6am asking for their delivery tracking number. Televanta's AI Email Agent reads the email, queries the fulfilment system using the order reference in the email, and sends a personalised reply with the tracking link before a single member of the support team has arrived at the office. Use case: An e-commerce company receives 400 emails per day. 65 percent are order tracking requests. After deploying Televanta's AI Email Agent, all 260 tracking queries are handled automatically. The support team's workload drops to the 140 emails that require genuine human judgment, allowing them to respond to those faster and with more care.

How does an AI Email Agent decide whether to reply automatically or involve a human?

Televanta's AI Email Agent uses a confidence threshold system. When the AI identifies an email's intent and matches it with a high-confidence answer from your knowledge base, it responds automatically. When confidence falls below your configured threshold due to ambiguity, sensitivity, or an out-of-scope topic, the email is flagged for human review with a draft reply already prepared. You control the threshold and most businesses start conservatively and increase automation as they build confidence in Televanta's accuracy. For example, a customer emails "I need to return something." Televanta identifies this as a returns request with high confidence, pulls the returns policy from the knowledge base, and sends an automatic reply with the returns instructions. A customer who emails "I have a complex issue with my account that has legal implications" triggers a low confidence score and is immediately flagged for a senior human agent with a draft context summary. Use case: A software company sets its Televanta confidence threshold at 85 percent for the first month. This results in 55 percent of emails being answered automatically. Each week the team reviews the flagged emails and adds common queries to the knowledge base. By month three the threshold is raised to 90 percent and 78 percent of emails are handled automatically.

How fast does an AI Email Agent respond to customer emails?

Televanta's AI Email Agent processes and responds to emails within 30 to 90 seconds of receipt, 24 hours a day, 7 days a week. This compares to an industry average human response time of 12 or more hours for most support teams. Near-instant responses have a measurable impact on customer satisfaction: customers who receive a fast, accurate reply report significantly higher CSAT scores than those who wait hours or days. For example, a prospective client emails a professional services firm at 11pm with a project enquiry. Televanta responds within a minute with an informative reply about the firm's services, a link to relevant case studies, and an offer to book a discovery call. By the time a competitor reads the same type of enquiry at 9am, Televanta's client already has a call booked. Use case: A hotel uses Televanta's AI Email Agent to handle group booking enquiries sent outside office hours. Guests who email on Friday evening receive a detailed response within two minutes including availability information and a tailored rate proposal. Conversion on these enquiries increases by 40 percent because Televanta responds before the guest sends the same enquiry to three other hotels the following morning.

What types of emails can an AI Email Agent handle?

Televanta's AI Email Agent handles the most common categories of business email including customer support queries, frequently asked questions, order status requests, appointment requests and confirmations, complaint acknowledgements, billing and invoice queries, general enquiries, and simple product or service information requests. For emails that involve complex judgment, legal content, or emotionally sensitive situations, Televanta flags the email for human handling with a full summary already prepared. For example, a telecoms company receives emails across six categories every day. Televanta handles four of them automatically: account password resets, data usage queries, coverage questions, and upgrade information. Emails about billing disputes and contract terminations are flagged for a human with a full email summary and sentiment score already visible. Use case: A property letting agency uses Televanta to handle emails from tenants about maintenance requests, rent payment confirmations, lease renewal queries, and visitor parking questions. All four are handled automatically. The property manager only sees emails that require genuine decisions, such as rent renegotiations or serious maintenance issues.

Does an AI Email Agent integrate with Gmail and Outlook?

Yes. Televanta's AI Email Agent integrates with Gmail via the Google Workspace API and Microsoft Outlook and Exchange via the Microsoft Graph API. Setup requires granting OAuth permissions and there are no MX record changes, email forwarding configurations, or infrastructure changes needed. The AI operates directly inside your existing inbox. For teams using other email providers, Televanta also supports IMAP and SMTP connections. For example, a small business owner connects Televanta to their Gmail inbox in ten minutes by clicking "Connect Gmail" in the Televanta portal and approving the OAuth permissions. From that moment, Televanta reads every incoming email and either responds automatically or flags it for review, all within the existing Gmail interface. Use case: A law firm already running Microsoft 365 connects Televanta to their Outlook inbox with a single OAuth approval. Televanta begins processing client enquiry emails immediately. The IT team makes no infrastructure changes and the lawyers notice no change in how they use Outlook, only that the volume of emails they need to personally respond to has dropped significantly.

How does an AI Email Agent personalize its replies?

Televanta's AI Email Agent personalizes replies by pulling relevant context from your CRM at the moment of reply: the customer's name, their account type, recent order history, previous support interactions, and any open issues. This information is woven into the response so it reads as a genuine individual reply rather than a template. A customer emailing about an order receives a reply that references their specific order number and delivery date. For example, a customer named Ana emails a retailer about a delayed order. Televanta queries the CRM, finds Ana's order record, and replies: "Hi Ana, I can see your order was dispatched on the 12th and is currently in transit. Based on the carrier update from this morning, delivery is expected by Thursday." The reply is fully personalised, not from a generic template. Use case: A subscription box company uses Televanta's CRM integration to personalise renewal reminder email responses. When a subscriber replies asking about their current plan, Televanta pulls their subscription tier and usage data and responds with plan-specific upgrade options and their current renewal date, without a human agent needing to look anything up.

Can an AI Email Agent triage and prioritize incoming emails?

Yes. Televanta's AI Email Agent performs automated triage on every incoming email: classifying by intent (complaint, enquiry, booking request, billing question), scoring urgency (normal, high, critical), analysing sentiment (positive, neutral, frustrated), and routing to the appropriate queue or individual. Your support team's inbox is always organised by priority so the most urgent emails are actioned first and no email is left buried. For example, 80 emails arrive in a support inbox on a Monday morning. Televanta triages all 80 in under three minutes. 12 are flagged as high urgency and appear at the top of the queue. 45 are answered automatically. 23 are drafted and queued for human review. The team starts their day with a prioritised, partially resolved inbox rather than a chaotic pile. Use case: A healthcare technology company uses Televanta to triage patient support emails. Emails containing words associated with safety concerns or urgent medical questions are instantly escalated to a clinical specialist regardless of time of day. All other emails are handled in priority order by the standard support team, ensuring clinical risks are never delayed by volume.

How does an AI Email Agent sync with a CRM?

Televanta's AI Email Agent bi-directionally syncs with your CRM. Every email processed by the AI is logged in the corresponding contact record with the full thread, a summary, the classified intent, and the outcome. New contacts from inbound emails can be created automatically. Follow-up tasks are generated for emails requiring action. Deal stages can be updated based on email intent, for example a request for proposal email triggers a new deal in your pipeline. For example, a prospect sends an email saying "We're evaluating options for our customer support infrastructure." Televanta classifies this as a high-intent sales enquiry, creates a new deal in the CRM, logs the email, sets the deal stage to "Evaluation," and creates a task for the account executive to follow up within 24 hours. The account executive sees the fully prepared CRM entry without any manual data entry. Use case: A consulting firm uses Televanta's Salesforce integration to ensure no client email goes unlogged. Previously, consultants sometimes forgot to log emails manually. With Televanta, every email exchange is automatically associated with the correct contact and opportunity, giving account managers a complete communication history and accurate pipeline data.

Is an AI Email Agent GDPR compliant?

Televanta's AI Email Agent is designed for GDPR compliance. Email content is processed with a lawful basis appropriate to your context. Data is stored with encryption at rest and in transit. Configurable retention policies ensure data is not kept longer than required. Data subject access and deletion requests can be fulfilled from the Televanta portal. A Data Processing Agreement is available for all customers. Televanta operates within European data hosting frameworks. For example, a company processing customer emails through Televanta configures a 12-month data retention policy aligned with their GDPR records management requirements. When a customer submits a data deletion request, all related email data in Televanta is removed and a deletion confirmation is generated for the compliance record. Use case: A financial services firm uses Televanta's AI Email Agent and needs to demonstrate to their regulator that personal data in customer emails is handled appropriately. Televanta's compliance documentation, DPA, and configurable retention settings allow the firm to satisfy the regulatory review without building custom data handling infrastructure.

Can an AI Email Agent detect and filter spam?

Yes. Televanta's AI Email Agent analyses incoming emails for spam signals, phishing patterns, and unsolicited commercial content. Detected spam is quarantined rather than deleted so your team can review false positives. Televanta's spam detection adapts based on patterns in your specific inbox, improving accuracy over time. Effective spam filtering is a foundational layer that ensures Televanta focuses its processing power on genuine customer emails. For example, a business inbox receiving 500 emails per day includes 150 spam and marketing emails that consume human attention. Televanta quarantines these automatically, reducing the inbox your team sees to the 350 genuine customer emails and improving focus and response quality for the messages that actually matter. Use case: A recruitment agency uses Televanta to filter their candidate enquiry inbox. Unsolicited sales emails and automated job board notifications are quarantined automatically. Recruiters see only genuine candidate emails and client briefs in their prioritised queue, improving their ability to respond to real candidates quickly.

How does an AI Email Agent analyze customer sentiment?

Every incoming email processed by Televanta's AI Email Agent is given a sentiment score: positive, neutral, or negative. Emails with strongly negative sentiment are flagged and escalated to a senior agent or a specific team queue, ensuring frustrated customers are prioritized for immediate human handling. Sentiment trends are tracked over time in Televanta's reporting dashboard, helping you identify systemic issues driving negative customer emotion. For example, an email arrives saying "This is the third time I have contacted you about the same problem and nothing has been fixed. I am extremely disappointed." Televanta scores this as highly negative, flags it as urgent, routes it to the senior customer relations team, and adds a note showing the customer's three previous contact events. The customer receives a response from a senior team member within 15 minutes. Use case: A telecoms company uses Televanta's sentiment trends report to identify that a specific broadband product is generating 80 percent of negative-sentiment emails. The product team investigates and finds a configuration issue affecting a subset of customers. The problem is fixed proactively before it generates more complaints, informed entirely by Televanta's sentiment data.

Can an AI Email Agent draft replies for human review before sending?

Yes, and this is one of the most popular ways teams use Televanta's AI Email Agent. Rather than sending fully automatic replies, the AI drafts a high-quality personalised response for each email and presents it to the relevant team member for review. The human reads it, makes any edits, and sends it with a single click. What would take 10 minutes to compose becomes a 30-second review-and-send. Teams using Televanta's AI-assisted drafting typically handle three to five times more emails per agent per day. For example, a financial adviser receives 30 client emails on a Tuesday. Televanta drafts replies to all 30 overnight using information from the CRM and knowledge base. On Tuesday morning, the adviser reviews each draft, makes small personalised tweaks to a few of them, and sends the entire batch in 25 minutes rather than spending three hours composing from scratch. Use case: A customer service team of five at a growing retailer was processing 500 emails per day with difficulty. After deploying Televanta's draft-and-review mode, the team processes all 500 emails before lunch each day. The AI drafts and the humans approve. No additional hires are needed despite the company's customer base doubling in size.

What languages does an AI Email Agent support?

Televanta's AI Email Agent reads and responds in any language you configure, with multilingual support available out of the box. The agent detects the language of the incoming email automatically and responds in the same language, even if your team monitors the inbox in a single language. This is particularly valuable for businesses in Croatia and other multilingual markets where customers write in different languages to the same email address. For example, a manufacturer exports to multiple countries. Customer emails arrive in several languages to the same support address. Televanta reads each email in the original language, responds in the same language, and logs the conversation to the CRM with a summary so the team can review interactions in their own working language regardless of what language the customer used. Use case: An online travel booking company serving international markets uses Televanta to handle customer emails in any language from a single shared inbox. The support team of three, all speaking one shared language, only see flagged emails needing human attention. Televanta handles routine queries in every supported language automatically, effectively multiplying the team's language coverage without any new hires.

Can an AI Email Agent automatically create support tickets?

Yes. When an incoming email requires follow-up action beyond an immediate auto-reply, Televanta's AI Email Agent automatically creates a support ticket in your helpdesk platform with the email content, sender details, classified category, priority level, and a structured summary pre-filled. The ticket is assigned to the appropriate queue based on email intent. This eliminates the manual step of converting emails to tickets and ensures no customer query falls through the cracks. For example, a customer emails reporting that their software licence has stopped working after a company update. Televanta reads the email, classifies it as a high-priority technical support request, creates a ticket in Zendesk with the licence number from the email body, assigns it to the technical support queue, and sets priority to "urgent." The first human to touch the ticket has all the context they need without reading the original email thread. Use case: A managed services provider uses Televanta to convert all client support emails into structured tickets in their PSA tool automatically. Engineers start each morning with a fully populated ticket queue rather than spending the first hour reading emails and manually creating tickets. Time to first response falls by 60 percent.

How does an AI Email Agent handle multi-message email threads?

Televanta's AI Email Agent reads the full thread context before generating any reply and does not treat each email in isolation. This means replies reference previous messages accurately, avoid asking questions the customer has already answered, and maintain continuity across a multi-day or multi-message exchange. Thread context is also considered when classifying urgency, so Televanta correctly identifies when a follow-up email is an escalation of a previously unresolved issue. For example, a customer sends a first email asking about a refund. Televanta replies with the refund process. The customer replies two days later saying "I followed your instructions but the refund still hasn't appeared." Televanta reads the full thread, recognises this as an escalation, raises the urgency score, and flags it for a human agent with a summary showing the full exchange and the expected refund date that was communicated in the first reply. Use case: A software company uses Televanta to manage the email threads on their annual renewal process. The AI tracks each renewal conversation across multiple emails, understands when a customer is pushing back on price versus asking a product question, and routes accordingly. The renewals team only handles conversations where negotiation is genuinely needed.

Can an AI Email Agent automate follow-up emails?

Yes. Televanta's AI Email Agent can send automated follow-up emails based on configured triggers, for example following up on an unanswered quote after three days, sending a reminder for an upcoming appointment 24 hours before, or checking in with a customer whose support ticket has been open for more than 48 hours. All automated follow-ups are logged in the Televanta email record and synced to your CRM. For example, a sales team sends proposals via email. Televanta is configured to send a follow-up three days later if the prospect has not replied: "Hi Marko, I wanted to check if you had a chance to look over the proposal we sent on Tuesday. Happy to answer any questions or arrange a quick call." The follow-up is sent automatically without the salesperson having to remember or track it manually. Use case: An IT services company uses Televanta's follow-up automation to chase outstanding invoices. Seven days before the due date, Televanta sends a polite reminder. On the due date if unpaid, a second reminder goes. Three days after the due date if still unpaid, a human accounts person is flagged. The company's average days-to-payment falls from 45 days to 28 days within two months.

How does an AI Email Agent reduce response time for customer support teams?

Televanta's AI Email Agent reduces response time through three mechanisms. First, automatic replies for high-confidence in-scope emails mean many customers receive a response in under 90 seconds with no human involved. Second, AI-drafted replies for emails requiring review cut individual composition time from minutes to seconds. Third, intelligent triage ensures time-sensitive emails reach the right human agent immediately rather than sitting in a general inbox. Together these mechanisms typically reduce average response time by 60 to 80 percent within the first 30 days. For example, a customer support team had an average email response time of 18 hours before Televanta. After deployment, automatic replies handle 60 percent of emails within 90 seconds, drafts handle a further 25 percent in under 5 minutes of human review time, and only the remaining 15 percent require composition from scratch. The average response time across all emails falls to 2.4 hours within the first month. Use case: A growing startup is preparing for a product launch and knows email volume will spike. Two weeks before launch, they deploy Televanta's AI Email Agent. On launch day, email volume increases 8x. Televanta handles the surge automatically. The support team is not overwhelmed, every customer gets a response, and no temporary hires are needed.

What is the difference between an AI Email Agent and traditional helpdesk software?

Traditional helpdesk software like Zendesk or Freshdesk organises and routes emails and creates tickets, but the actual reading and responding is still done by humans. Televanta's AI Email Agent actively reads, understands, and responds to emails on behalf of your team. It is not a workflow tool that routes work to humans but an agent that does the work. The two are complementary: Televanta can integrate with your existing helpdesk, creating tickets and drafting replies within it, while handling the majority of emails autonomously. For example, a company already using Zendesk deploys Televanta alongside it. Televanta handles all first-line email responses automatically and creates Zendesk tickets for escalations with a full AI-generated summary pre-filled. The Zendesk agents see only the complex cases, fully briefed, and their ticket volume falls by 65 percent without any change to the existing helpdesk configuration. Use case: A SaaS company with 5,000 customers uses Zendesk as their helpdesk. After adding Televanta as the email intelligence layer, the company handles a 40 percent growth in customer base without adding a single support headcount. Televanta absorbs the incremental email volume while the human team maintains the quality of complex customer interactions.

How do AI Email Agents prevent inaccurate or hallucinated replies?

Televanta's AI Email Agent generates replies grounded in your configured knowledge base rather than relying on general AI knowledge. The AI references your actual content, policies, and product details rather than fabricating information. When Televanta's confidence falls below a configured threshold because the email is ambiguous or covers a topic not in the knowledge base, it flags the email for human review rather than guessing. All auto-sent replies are logged and reviewable, allowing your team to catch any inaccuracies and improve the knowledge base accordingly. For example, a customer asks whether a specific integration is available. Televanta checks the knowledge base, finds the integration is listed as "coming soon" in the product roadmap document uploaded to the system, and answers "This integration is on our roadmap. I'll connect you with a product specialist who can give you the timeline." It does not invent an availability date that does not exist. Use case: A financial services company uses Televanta's knowledge-grounded email responses to ensure regulatory accuracy. All responses are generated from approved content only. Any email on a topic not covered by approved content is automatically escalated to a compliance-aware human agent. This ensures no email sent by Televanta contains financial advice or product details that have not been approved for customer communication.

How do I get started with an AI Email Agent?

Getting started with Televanta's AI Email Agent begins with a free demo at televanta.ai/contact. During the demo, the Televanta team reviews your inbox volume, the most common types of emails you receive, and your goals for automation. Setup involves connecting your email inbox, loading your knowledge base content, configuring triage rules and confidence thresholds, and running a testing phase with sample emails before activating automatic replies. Most businesses are processing live emails within five to ten business days of kickoff. For example, a business owner books a Televanta demo on Monday, spends 90 minutes completing the knowledge base questionnaire with their team, approves the email template styles on Thursday, reviews Televanta's replies on a set of 50 test emails on Friday, and activates automatic replies the following Monday. From that point, Televanta handles the inbox and the owner reviews only the flagged emails each morning. Use case: A consulting company deploying Televanta for the first time starts with a limited pilot: only emails tagged "general enquiry" are handled automatically. After two weeks reviewing every auto-sent reply and finding 97 percent accuracy, they expand Televanta's scope to cover billing queries and appointment requests. By week six, 70 percent of all inbound emails are handled without any human involvement.