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

A standard Televanta deployment typically goes live in one to three weeks. The main steps are connecting your phone number or SIP carrier, loading the knowledge base with your FAQs and policies, setting up escalation rules and call flows, and running test calls before switching over fully.

More complex setups, ones with deep CRM integration or a custom voice, can add another one to two weeks on top of that.

Most of the time in a typical setup goes into the knowledge base, not the technical connection. Plugging in a phone number is usually fast.

Making sure the AI actually knows your business well enough to handle real calls takes more care, and that's where most of the calendar time tends to go.

For example, a small accounting firm shows what a fast, simple setup can look like. The whole thing takes eight days.

Day one is the SIP connection. Days two through five go into loading the knowledge base.

Days six and seven are test calls. Day eight, it goes live.

A new restaurant opening in two weeks shows the same process compressed further, because the need was more urgent. The full setup, including the menu, opening hours, allergen information, and a working connection to the reservation system, gets done in five days, and the AI is live before the first customer even calls.

Televanta's onboarding team walks a business through each stage rather than handing over a self-service tool and leaving them to figure it out. That guided approach is part of why timelines tend to stay predictable.

A business that's organized and has its policies and FAQs ready to hand over moves faster. One that's still figuring out its own booking rules or escalation preferences as it goes will naturally take longer, not because the software is slow, but because there's more to decide before it can be configured properly.

It's also worth knowing that going live doesn't mean the work is finished. Most businesses keep refining the knowledge base for weeks or months after launch, adding answers as new questions come up in real calls.

The one-to-three-week window gets a working system live. Getting it to its best version is more of an ongoing process than a one-time setup.

A business with several locations tends to take a bit longer, not because the technology is more complicated, but because there's simply more information to gather. Each site might have its own hours, its own staff, or its own specific policies, and all of that needs to be collected and organized before the AI can answer accurately for every location.

Businesses that plan for this ahead of time, by having someone gather that information before onboarding even starts, tend to move through setup noticeably faster than those figuring it out as they go.

It helps to think of the timeline less as a single deadline and more as a series of checkpoints. The phone connection is usually the fastest part and rarely the bottleneck.

The knowledge base takes the longest because it requires real decisions from the business about how calls should be handled. Test calls are where problems get caught early, before a real customer experiences them, so it's worth resisting the urge to rush through that step just to hit an earlier launch date.