Medgel
AI / ML

Medgel

AI · Voice Agents

AI voice agents for calling, built around real telephony and language limits.

Project

Medgel

Service category

AI Development / Voice Agents

Tech stack

Retell AI · SIP number import · Calendar and booking tools

Here’s the gist

The client needed AI voice agents to handle calls. Voice AI has hard limits around telephony, call features and language support, and those limits decide whether a product can work at all.

We mapped them before building, set up a voice-agent stack on Retell with calendar and booking tools, and took it live for real calls.

The Challenge

Voice agents promise to handle calls around the clock, but only if they fit the phone system and the languages callers use. Providers differ in what they support, and gaps found after launch are expensive to fix. The client needed a system that worked from its first live call.

Three things had to work at once:

  • The phone setup had to be planned in detail: number import (SIP) and platform features vary.
  • Languages had to be checked first: support is uneven across voice platforms, so it had to be confirmed before the design was fixed.
  • Calls had to turn into appointments: the agent needed to connect to calendar and booking tools reliably.

So we built Medgel

We built voice agents that only promise what the platform can deliver.

Agents that answer

AI voice agents handle inbound and outbound calls within the designed flows.

Connected to your phone line

Numbers come in through SIP import, so calls route through the client’s own telephone setup.

Calls that end in a booking

Agents check availability and book appointments in the connected calendar.

No surprises

Limits were mapped up front, so the agent doesn’t offer what the platform can’t do.

Did it work?

Yes, and it’s live.

Production

AI calling infrastructure live.

Mapped early

Language and telephony gaps identified up front.

Scalable

Voice agents for real call volume.

A working AI calling system, with its limits planned from the start.

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How we got there

From “will it work?” to live calls.

How we got there
StepWhat we didWhat it gave them
01Check what’s possibleWhat we did

Mapped telephony and language constraints first, including where SIP number import was needed and which languages the platform could support.

What it gave them

A design built on facts, not hopes.

02Design the call flowsWhat we did

Designed the call flows around those constraints.

What it gave them

An agent that stays inside what the platform can deliver.

03Build itWhat we did

Set up the voice-agent stack on Retell, with calendar and booking tools connected.

What it gave them

Calls that lead straight to appointments.

04Go liveWhat we did

Took the system live for real calls and monitored how it performed.

What it gave them

Confidence from the very first call.

What’s Next

The client now has AI calling in production. From here it can add languages as the platform supports them and extend booking workflows.

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