Question 1

How do you set up an AI inbound call agent?

Accepted Answer

Setting up an AI inbound call agent is simpler than most teams expect. You do not need to rebuild your phone system, hire a developer, or go through a months-long implementation project. The core of the setup process comes down to three things: connecting your phone number, configuring what the agent knows about your business, and deciding what happens when a call needs a human.

With Televanta, the setup starts with a standard SIP connection to your existing phone number or carrier. Nothing changes on the caller's end. They still dial the same number they always have. The difference is that Televanta's AI Call Agent answers instead of a receptionist, an IVR menu, or a voicemail box.

## What you configure before going live

Before the agent takes its first call, you give it the information it needs to handle conversations accurately. This includes your business name and how you want callers greeted, the questions your team gets asked most often and the correct answers, your opening hours and what should happen outside them, how calls should be routed for different enquiry types, and what the handover to a human agent should look like when it is needed. Televanta's onboarding process walks you through each of these steps and has agents configured in days rather than weeks.

## What happens after you go live

Once the agent is live, every call is logged automatically with a full transcript, the detected reason for the call, the outcome, and the sentiment of the conversation. You can review these from your dashboard at any time. Most teams use the first two to four weeks of transcripts to fine-tune the agent's responses and identify any call types that would benefit from additional configuration. The agent gets more accurate the more it handles, and you retain full control over its behaviour throughout.

## How long does it take

For a standard business with a single phone number and straightforward call types, Televanta can have an AI inbound call agent live within a few days of onboarding. More complex setups with multiple departments, multi-language requirements, or deep integrations with CRM or booking systems take longer, but most customers are handling live calls within two weeks of starting the process.

## Key things to have ready before setup

To set up an AI inbound call agent you will need access to your SIP or telephony settings, a list of the most common reasons people call your business, the correct answers to those questions, your escalation rules for when a human needs to step in, and the CRM or system you want call outcomes logged to. Televanta's onboarding team helps you work through each of these if you are not sure where to start.

Question 2

How do you replace IVR with AI?

Accepted Answer

Replacing an IVR with AI means swapping out your press-1-for-billing, press-2-for-support phone menu with a voice AI agent that understands what callers are asking in plain speech and resolves it directly. The caller stops navigating menus and starts having a real conversation. The AI listens, identifies their intent, and either handles the call end to end or routes it to the right person with full context already prepared.

The reason businesses are replacing IVR now is that the maths no longer works in favour of keeping it. A 2026 contact center study found that 67 percent of callers abandon calls during IVR navigation, and CSAT scores for IVR-routed calls run 28 to 41 points lower than calls answered immediately by a human or AI agent. Every one of those abandoned calls represents a customer who gave up, called back later, or went to a competitor.

## What the transition actually looks like

Replacing your IVR with Televanta does not mean ripping out your phone system. The AI agent sits on top of your existing telephony setup. You point your inbound number at Televanta via a SIP connection, configure the agent with your business knowledge and call routing logic, and the old IVR tree is retired. Callers now reach an agent that says something like "Hi, you have reached Acme support. What can I help you with today?" and then listens to whatever they say and responds intelligently.

## Which call types to replace first

The highest-impact place to start is the call types that make up the most volume and require the least human judgment. FAQs and general information requests are ideal because the AI can answer them accurately every time. Appointment booking and scheduling work well because the logic is structured and predictable. Order status and account lookups are strong early wins because the AI can pull data in real time and give the caller an accurate answer without any human involvement. Once these are running smoothly, more complex routing and resolution flows can be layered in over time.

## What you gain by replacing IVR with AI

Callers stop abandoning in menus and start reaching resolutions. First-call resolution rates improve because the AI understands intent correctly on the first attempt instead of routing by guesswork. Average handle time falls because callers are not repeating themselves after a misroute. And because the AI captures structured data on every call, your team gains visibility into exactly why people are calling that a traditional IVR never provided.

Question 3

What is call center voice AI?

Accepted Answer

Call center voice AI is a category of software that uses artificial intelligence to handle phone calls in a contact center environment. Instead of a human agent picking up every incoming call, a voice AI system answers, understands what the caller is saying in natural speech, and either resolves the query directly or routes it to the right human with full context. It works on inbound calls, outbound calls, or both, depending on how it is configured.

The technology behind it combines speech recognition to convert spoken words into text, large language models to understand the meaning and intent behind what was said, and speech synthesis to respond in a natural-sounding voice. Modern systems like Televanta's AI Call Agent do this with response latency under one second, which means the conversation feels natural to the caller rather than robotic or slow.

## What call center voice AI actually does

For inbound calls it answers every call immediately with no hold time, handles common customer queries, books appointments, looks up account information, processes simple transactions, and routes complex situations to a human agent with the full call context transferred instantly. For outbound calls it contacts leads, follows up with customers, confirms appointments, qualifies prospects against a structured script, and logs every outcome back to your CRM automatically.

The key difference from older automated phone systems is that call center voice AI does not require callers to speak in specific keywords or navigate rigid menus. A caller can say "I need to change my appointment" or "I got charged twice last month" or "I am calling about the email I received" and the AI understands all of these naturally, without the caller having to rephrase themselves or press a number first.

## What results contact centers are seeing

Contact centers deploying voice AI are reporting that AI handles between 60 and 80 percent of inbound call volume without human involvement. Average handle time for escalated calls falls because agents receive calls with a full transcript and intent summary rather than starting from scratch. Cost per call drops significantly because the AI handles calls at a fraction of the cost of a human agent, and unlike human agents it handles unlimited concurrent calls so no caller ever waits in a queue.

## Is it the same as a chatbot

No. A chatbot handles typed text conversations on a website or messaging platform. Call center voice AI handles spoken conversations over the phone. The interaction is fundamentally different because speech is faster, more expressive, and much harder for legacy systems to handle accurately. Voice AI built specifically for phone calls is trained on telephony audio, background noise, accents, and the irregular way people speak, which makes it far more capable than a chatbot with speech added on top.

Question 4

How do you deploy voice AI in a call center?

Accepted Answer

Deploying voice AI in a call center comes down to four stages: connecting the AI to your telephony setup, loading it with the knowledge it needs to handle your specific call types, defining the rules for when it should escalate to a human, and integrating it with the systems your team already uses like your CRM, ticketing platform, or booking software. How long this takes and how complex it is depends on what you are starting from.

The fastest deployments happen when a business has a single inbound number, a clear set of common call types, and a straightforward escalation path to human agents. In those cases, Televanta can have a voice AI agent handling live calls within a few days. More complex contact center environments with multiple queues, multi-language requirements, and deep backend integrations take longer, but the process is still measured in weeks rather than months.

## Step by step

The first step is telephony integration. Televanta connects to your existing phone setup via SIP, which means your callers keep using the same number and your team keeps using the same phones. No new hardware is required. The second step is knowledge configuration. You tell the agent what your business does, what your most common call reasons are, what the correct answers are, and what your policies and procedures are. The more specific this information is, the more accurately the agent handles calls from day one. The third step is defining your escalation logic. You set the rules for which call types should be transferred to a human, what information should be passed across at the point of transfer, and how the handover should sound to the caller. The fourth step is CRM and system integration so that every call outcome, transcript, and data point the agent captures during a call lands automatically in the right place in your existing tools without any manual entry from your team.

## What to deploy first

The most reliable approach is to start with one or two high-volume, low-complexity call types rather than trying to automate everything at once. FAQs, appointment confirmations, and account lookups are good starting points because they follow predictable patterns, the AI handles them accurately from early on, and your team can validate the outputs quickly. Once these are stable, more complex flows like payment handling, multi-step troubleshooting, or outbound qualification can be layered in using the data from your early deployments to guide the configuration.

## Common mistakes to avoid

Trying to automate too many call types at once before any of them are working well is the most common problem. Starting too broad spreads your team's attention and makes it harder to identify what needs improving. Deploying without a clear escalation path is another frequent issue. Callers who reach a situation the AI cannot handle need a smooth, immediate route to a human. If that path is unclear or the transfer is poorly executed, it erodes confidence in the whole system. Deploying without monitoring is a third one. Call transcripts and outcome data in the first few weeks show exactly where the agent is succeeding and where it needs adjustment. Teams that review these regularly see much faster improvement than those that treat deployment as a one-time event.

Question 5

Can voice AI handle FAQ calls automatically?

Accepted Answer

Yes, and this is one of the strongest use cases for voice AI in any contact center or business phone line. FAQ calls are the highest-volume, most repetitive category of inbound calls most businesses receive, and they are exactly the kind of call that voice AI handles with the most consistency and accuracy. The AI never gives a different answer to the same question depending on what mood it is in, never forgets to mention an important detail, and never gets tired of answering the same question for the hundredth time that day.

When a caller asks "what are your opening hours", "do you offer free delivery", "what is your cancellation policy", or "how do I reset my password", the AI retrieves the correct answer from your configured knowledge base and delivers it immediately. No hold time, no queue, no waiting for an agent to become available. The caller gets their answer and the call ends in under a minute.

## How the AI knows what to say

During setup, you provide Televanta with the questions your team hears most often and the correct answers to each one. This becomes the knowledge base the agent draws from during every call. As call transcripts come in after deployment, you can see which questions are being asked and refine the answers based on real caller language rather than how you assumed they would phrase things. The agent becomes more accurate over time as the knowledge base is refined, and adding new FAQs as your business changes takes minutes rather than requiring a developer.

## What happens when a caller asks something not in the knowledge base

When a caller asks a question the AI has not been configured to answer, it acknowledges the question, tells the caller it is going to connect them with a team member who can help, and transfers the call with a full transcript of the conversation so the agent who picks up already knows what was asked. The caller does not have to repeat themselves. Your team member receives the call with context already in hand and can answer from there.

## How much call volume can voice AI handle for FAQs

There is no upper limit on concurrent calls. A Televanta AI agent handles one call or one thousand calls simultaneously at the same quality level. This is particularly valuable during high-volume periods like Monday mornings, post-campaign traffic spikes, or seasonal peaks where FAQ call volume multiplies but the answers remain the same. Your human team is freed from the queue entirely and can focus on the calls that genuinely need their judgment.

Question 6

What is AI call center software?

Accepted Answer

AI call center software is a category of tools that use artificial intelligence to handle, route, assist with, or fully automate calls in a customer service or sales environment. It covers a wide range from platforms that give human agents real-time suggestions during calls, to fully autonomous voice AI agents that handle calls from start to finish without any human involvement.

The most significant shift in this category in recent years is the move toward autonomous voice AI. Rather than just helping human agents do their job faster, modern AI call center software can answer calls independently, resolve customer queries, qualify leads, book appointments, and only involve a human agent when the situation genuinely requires it. A contact center deploying voice AI alongside human agents typically finds that AI handles between 60 and 80 percent of incoming calls without escalation.

## What does it actually include

AI call center software typically includes a voice AI agent that handles calls, integration with CRM and business systems so the agent can look up and update customer data in real time, a dashboard showing call volume, resolution rates, transcripts, and sentiment analysis, escalation routing so complex calls go to the right human, and reporting tools that show which call types are resolved and which need further configuration. Higher-end platforms also include outbound calling for follow-up campaigns and lead qualification.

## Who uses it

Any business that handles a significant volume of inbound calls benefits from AI call center software. Healthcare practices use it to handle appointment booking and patient queries. Hotels use it to manage reservations and guest requests. Telecom companies use it to handle billing enquiries, plan changes, and technical support. Insurance providers use it for claims intake and policy queries. Customer service teams in any industry use it to reduce queue times, eliminate missed calls, and extend their availability to 24 hours a day.

Question 7

What is an AI answering service?

Accepted Answer

An AI answering service is a phone answering system powered by voice AI that picks up every incoming call to your business, handles the conversation automatically, and either resolves the caller's need or connects them with a human. Unlike a traditional answering service that routes calls to an offshore call center at night, an AI answering service is software that runs on your phone number around the clock with no staffing required.

When a caller rings your business, the AI answers immediately with a greeting in your brand voice, identifies what the caller needs, and handles it. If they want to book an appointment, the AI checks availability and confirms it. If they have a question about your services, the AI answers from your knowledge base. If they need to speak to a specific person or department, the AI routes the call with full context. Nothing goes to voicemail unless you want it to.

## How is it different from a traditional answering service

A traditional answering service uses human operators, usually offshore, who take messages and relay them by email or SMS. They cost more, have variable quality, and are limited by how many operators are available. An AI answering service answers instantly, handles calls simultaneously regardless of volume, gives consistent answers every time, and works 24 hours a day with no per-call staffing cost. It also logs every call automatically with a transcript and outcome so your team always knows what was said.

## What businesses use it most

Businesses that miss calls due to after-hours volume or peak-time overload get the clearest benefit. Restaurants and hotels receive reservation calls outside staffing hours. Healthcare practices receive appointment requests early in the morning and late in the evening. Service businesses including legal, dental, and home services receive enquiry calls that go unanswered at the weekend. An AI answering service captures all of these and turns them into bookings or qualified callbacks rather than missed revenue.

Question 8

What is a voice AI platform?

Accepted Answer

A voice AI platform is a system that businesses use to build, deploy, and manage AI voice agents for phone calls. It provides the underlying infrastructure for speech recognition, language understanding, and voice synthesis, along with tools for configuring conversation flows, integrating with business systems like CRMs and booking software, and monitoring call performance through a dashboard.

Some voice AI platforms are developer-first, meaning they require technical teams to build and maintain agents using APIs and code. Others are designed for business operators, offering guided setup flows, pre-built templates for common call types, and no-code configuration tools. The right choice depends on how much technical resource your team has and how customised your call flows need to be.

Televanta is a multi-tenant voice AI platform built for businesses across healthcare, hospitality, telecom, insurance, and customer service. It handles inbound and outbound calls, supports over 10 languages, connects to existing telephony via SIP, and integrates with CRM systems so every call outcome is logged automatically. Setup is designed to be completed in days, not months.

## What to look for in a voice AI platform

The key things to evaluate are how natural the voice sounds during a real conversation, how the agent performs when a caller says something unexpected, how quickly the platform can be configured and deployed, what integrations are available with the systems you already use, what happens when a call needs to be escalated to a human, and what data and reporting the platform provides after each call. Transparent pricing and a clear setup process matter significantly for smaller teams that cannot absorb a six-month enterprise implementation cycle.

Question 9

What is the best AI receptionist software?

Accepted Answer

The best AI receptionist software picks up every call, sounds natural from the first word, handles the full range of tasks a front desk receives, and integrates with your existing business systems without a lengthy setup project. A good AI receptionist does not just take messages. It books appointments, answers questions accurately, routes calls to the right person, handles international callers in their own language, and logs every interaction so your team always has a complete record.

In 2026 the market has divided clearly into platforms built for self-serve SMB use and platforms built for enterprise contact center scale. SMB platforms like MyAI Front Desk, Emitrr, and Allo are quick to set up and affordable for low to moderate call volumes. Enterprise platforms like PolyAI and Cognigy require professional services teams, long implementation timelines, and six-figure annual contracts. Televanta sits in the middle, offering enterprise-grade voice quality and multilingual support with a setup process measured in days and pricing that scales with usage rather than seat count.

## The features that matter most

Voice quality and naturalness determine whether callers feel respected or frustrated in the first ten seconds. Speed of response matters because pauses longer than 800 milliseconds make callers talk over the agent. Multilingual support is increasingly important because international callers now represent real revenue in most industries. Booking and CRM integration determine whether the agent creates work for your staff or eliminates it. And transparent pricing matters because platforms with opaque per-feature billing reliably cost more than their initial quotes suggest.

## Industries where AI receptionist software creates the most impact

Hotels miss direct bookings every night when no one answers the phone after 10pm. Healthcare practices lose patients who call for appointments on evenings and weekends. Legal firms lose leads when a potential client calls and goes to voicemail. Telecom businesses handle high call volumes with predictable question types that AI resolves efficiently. In each of these cases the AI receptionist is not replacing a person, it is capturing the value from calls that were never being answered in the first place.

Question 10

What is the best AI phone system for business?

Accepted Answer

The best AI phone system for a business in 2026 is one that handles calls automatically without sounding automated, integrates with your existing tools without a major IT project, and gives you full visibility into every call through a clear dashboard. The phone system category has shifted significantly in the last two years. Where the choice used to be between VoIP providers like RingCentral or Dialpad, businesses are now evaluating whether to layer AI voice agents on top of existing systems or move to a voice-AI-first platform that handles calls autonomously.

The right answer depends on your call volume and what proportion of calls are routine. If more than half of your inbound calls involve predictable, repeatable tasks like booking, FAQs, account lookups, or routing, then an AI-first phone system that handles these automatically will save significant staff time and eliminate missed calls. If most of your calls require complex human judgment, a traditional VoIP system with AI assist features for your agents may be the better fit.

## What the market looks like in 2026

Traditional VoIP systems like RingCentral, Dialpad, and Aircall have added AI features on top of their existing infrastructure. These work well for teams that are primarily human-staffed and want AI to make agents more efficient. Pure AI voice platforms like Retell, Bland, Vapi, and Televanta are built from the ground up for autonomous call handling and are better suited for high-volume inbound automation. Enterprise platforms like PolyAI, Genesys, and NICE are built for Fortune 500 contact centers with six-figure budgets and six-month implementation timelines.

## Where Televanta fits in this landscape

Televanta is a voice-AI-first phone system built for mid-market businesses in industries with high inbound call volume and a multilingual customer base. It handles calls in over 10 languages, connects to your existing SIP infrastructure, integrates with CRM and booking systems, and can be configured and live within days. It is the right choice for a business that has outgrown answering every call manually and wants a phone system that works as hard as a full-time receptionist without the staffing cost or the limited hours.

Question 11

AI voice agent vs IVR: what is the difference?

Accepted Answer

IVR, which stands for interactive voice response, is the phone menu system you have used thousands of times. Press 1 for sales. Press 2 for support. Press 0 to repeat these options. It was built in the 1990s to sort callers into queues without using a human operator. It was a good solution to the problem at the time. The problem is that customer expectations have moved on completely and the technology has not.

An AI voice agent replaces the menu entirely. The caller hears a greeting and then just speaks. They say what they want in their own words, in whatever order they choose, and the AI understands them and responds. There are no options to navigate, no buttons to press, and no being told that their input was not recognised and being sent back to the main menu.

## The practical differences

IVR forces callers to conform to the system. They must describe their problem using one of the categories the system was programmed to recognise. When their problem does not fit, which happens frequently, they press 0 and wait for a human or they hang up. Research in 2026 found that 67 percent of callers abandon calls during IVR navigation, and that CSAT scores for IVR-routed calls are 28 to 41 points lower than calls answered by an AI voice agent or a human.

An AI voice agent lets the caller speak naturally. It understands intent rather than matching keywords against a menu tree. A caller who says "I need to move my appointment from Thursday to next week" is understood immediately. An IVR would have required them to first navigate to the appointment section, then select modify, then select reschedule, then potentially be told to call back during business hours because changes cannot be processed automatically.

## When IVR still makes sense

There are a small number of situations where a touch-tone menu is still appropriate. Pure security gates that require a caller to enter a PIN via keypad. Single-action lines where literally every caller does the same thing. Certain compliance-heavy workflows where a fixed, audited menu is part of the legal posture. These use cases are real but they are much smaller than most organisations assume. For everything else, the menu is the wrong tool in 2026.

## The migration path

Moving from IVR to an AI voice agent does not require replacing your phone system. Televanta connects to your existing telephony via SIP and sits in front of your current setup. You retire one IVR branch at a time, run the AI and the old system in parallel if needed, and measure containment and satisfaction as you go. Most businesses find the process straightforward and the results immediate. Callers stop abandoning in menus. First-call resolution goes up. Staff spend less time on repetitive transfers and more time on the calls that actually need them.

Question 12

AI receptionist vs human receptionist: which is right for your business?

Accepted Answer

The honest answer is that it depends on what your callers mostly need and when they mostly call. The comparison is not binary. Most businesses that deploy an AI receptionist do not eliminate their human front desk staff. They redeploy them. The AI handles the calls that were previously consuming most of the phone time, and the human team focuses on the interactions that genuinely benefit from a human presence.

## Where human receptionists are better

Human receptionists are better for emotionally complex or sensitive calls where a caller needs empathy and flexibility. They are better for highly irregular enquiries that fall outside any predictable pattern. They are better for situations where a caller is distressed, frustrated, or escalating, and the priority is defusing the situation rather than resolving a specific query. And they create a stronger impression in settings where the personal touch of a human voice on the first ring is part of the brand experience the business deliberately sells.

## Where AI receptionists are better

AI receptionists are better for call volume that exceeds what your human team can handle without putting callers on hold. They are better for after-hours calls that currently go to voicemail. They are better for multilingual callers when your team does not speak the required languages. They are better for high-volume, predictable call types like appointment bookings, FAQ answers, and standard routing. And they are better for any situation where inconsistency in how calls are handled is causing problems, because an AI gives exactly the same answer to the same question every single time.

## The real-world model

Businesses using Televanta typically operate in hybrid mode. The AI handles the first layer of every call, answers the straightforward ones completely, and routes the complex ones to a human with the full conversation already transcribed and the caller's intent already identified. The human who picks up the call skips the first two minutes of context-gathering and starts immediately from where the AI left off. Handle time falls. Staff satisfaction improves because they spend more time on meaningful conversations. And no call ever goes unanswered regardless of when it arrives.

Question 13

Televanta vs PolyAI: how do they compare?

Accepted Answer

PolyAI and Televanta are both voice AI platforms built for businesses with high inbound call volume. The core difference is who they are built for. PolyAI is an enterprise-managed service designed for Fortune 500 contact centers with large budgets, dedicated technical teams, and a willingness to wait three to six months for deployment. Televanta is built for mid-market businesses across healthcare, hospitality, telecom, insurance, and customer service that want enterprise-grade voice quality without the enterprise procurement cycle or pricing.

## Deployment and setup

PolyAI deployments typically take three to six months and require working through their professional services team for every change. Every new call flow, every update to the knowledge base, and every configuration change is routed through PolyAI's implementation team. This works well for organisations with complex requirements and the budget to support a long managed engagement. It is not practical for a business that needs to be live within days or that wants to manage its own agent configuration without raising a ticket.

Televanta is configured through an onboarding process designed to get businesses handling live calls within days. The platform is managed by your team through a dashboard, and updates to what the agent knows or how it handles calls do not require going through a vendor services process.

## Pricing

PolyAI does not publish pricing. Enterprise contracts typically start at six figures annually based on published benchmarks. There is no self-serve option and no trial. Televanta uses per-minute pricing that scales with usage, making it accessible for businesses that do not have enterprise-level call volumes or enterprise-level budgets.

## Voice quality and languages

PolyAI has a well-earned reputation for outstanding voice quality and naturalness, particularly for enterprise English-language contact centers. Televanta supports over 10 languages including Croatian, English, and German, which makes it better suited to businesses serving multilingual markets in Europe and beyond where PolyAI's primarily English-focused heritage is a limitation.

## The right choice

If you are a Fortune 500 business with a six-figure annual budget, a dedicated CX engineering team, and time to go through a managed enterprise implementation, PolyAI is worth evaluating. If you are a mid-market business that needs a voice AI platform live within days, that supports multiple European languages, that you can configure and manage yourself, and that scales with your usage rather than locking you into a large annual contract, Televanta is the more practical choice.

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