Voice AI for agentic chatbots

Give your agentic AI chatbot a real-time voice

Describe how it should help, then give the same managed assistant a real-time voice. It listens, responds aloud, uses approved RAG knowledge, and can run configured tools. Live voice is in beta for eligible Pro accounts with available credits.

Explore the agentic AI chatbot builder

Built from one sentence
Live browser voice
Shared business knowledge
Voice and model choice

What is a voice AI agent?

A voice AI agent is a conversational assistant that receives speech, reasons with the same instructions and knowledge used in text chat, and answers aloud in real time. In IMFA, editors can start a browser voice session from the agent workspace, choose a supported voice, mute the microphone, and end the call explicitly.

The voice surface uses the agent's system prompt, RAG knowledge, persona, selected model, and compatible tools. It is not a separate voice bot that must be configured again. Voice is in beta, requires an eligible Pro account and credits, and depends on microphone permission, browser audio support, network quality, and service availability.

A managed agent system behind every voice conversation

IMFA connects voice to the same managed agent lifecycle as text and messaging, so your team can improve one source of behavior rather than maintain a disconnected speech application.

Real-time browser conversations
Start a live speech conversation from the agent workspace. The interface reports connecting, listening, thinking, muted, speaking, ready, and error states so the user understands what is happening.
The same RAG knowledge as text chat
Voice replies use the agent's approved documents, spreadsheets, text, and public webpage knowledge. Retrieved material remains untrusted data and cannot replace system instructions.
Voice character and model choice
Choose from supported voice characters and use the agent's selected model. The effective voice is locked into the session when the call starts, keeping each conversation stable.
Tools, persona, and business behavior
The voice agent can use the same configured persona, instructions, compatible tools, and lead behavior as the text experience instead of relying on a separate prompt.
Microphone and session controls
Users start the session deliberately, can mute or unmute the microphone, cancel a connection attempt, and end the call. Clear errors cover permissions, missing devices, playback, connection, and service failures.
Credit and eligibility safeguards
Live voice requires an eligible Pro account with available credits. A session ends when credits are exhausted or required usage recording cannot be completed, preventing untracked consumption.

How to create and test a voice AI agent

Build the core agent first, confirm voice eligibility, then test real spoken questions under realistic browser and network conditions.

Describe the voice assistant in one sentence
Define the role, audience, tone, boundaries, knowledge sources, model, skills, and tools. Test the text behavior first so the voice session starts from an approved foundation.
Choose a voice and start a call
Open the Voice surface, select a supported voice character, allow microphone access, and start the session. Eligible Pro accounts need enough available credits.
Test latency, answers, and failure states
Try short and complex questions, interruptions, mute controls, RAG lookups, tools, and call ending. Perceived latency varies with network, browser, model, knowledge retrieval, and tool execution, so no fixed response time is promised.

IMFA compared with building a voice AI agent manually

Both approaches can work. The difference is whether your team wants to engineer and operate every real-time layer or add voice to an already managed customer agent.

Speech and model APIs are only foundation pieces
A custom build still needs secure session creation, audio capture and playback, interruption handling, RAG, tool policies, usage metering, credit controls, reconnection, error states, deployment, and monitoring.
A separate voice bot creates configuration drift
When voice and text use different prompts or knowledge stores, customers receive inconsistent answers. IMFA keeps supported surfaces tied to one managed agent configuration.
IMFA manages the shared agent lifecycle
Choose IMFA when you want conversational creation, RAG, model and voice choice, tools, browser voice, messaging channels, sessions, leads, protection rules, and API access in one product.

One chatbot across every customer channel

Build and manage one agentic AI chatbot, then serve customers on your website, WhatsApp, Telegram, and Discord from the same IMFA workspace.

Website chatbot

Add an agentic AI chatbot to your website to answer questions, capture leads, and use your approved business knowledge.

WhatsApp chatbot

Serve customers on WhatsApp with the same approved instructions, knowledge, and business context.

Telegram chatbot

Bring the same managed chatbot to Telegram without maintaining a separate configuration.

Discord chatbot

Support customers and communities on Discord while managing one chatbot in IMFA.

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Simple, clear plans

Start free, move to Pro for more capacity and model control, or choose a Custom plan shaped around your needs.

Standard

$0per month

For building and testing agents with a light weekly workload.

Build and publish AI agents
5 included credits each week
Default AI models

Pro

$10~~$20~~per month

For active agents that need more knowledge, model control, and capacity.

Everything in Standard
Remove the IMFA Agents watermark from chatbots
100 included credits each month
Add any website to your agent's knowledge
Custom AI models
Purchase as many credits as you need, with no expiration

Custom Solutions

Let's talk

Custom solutions designed around your business needs.

Tell us what you need

Custom AI agents and software solutions
Strategy and scope built around your goals
Tailored workflows and integrations
Hands-on development, launch, and support

Frequently asked questions about voice AI agents

Clear answers about real-time voice, shared knowledge, eligibility, credits, public calling, latency, and browser requirements.

[01]

Can I talk to my IMFA agent in real time?

Yes, if the account is eligible for the beta, uses the Pro plan, and has available credits. Start the call from the Voice surface and allow browser microphone access.

[02]

Does voice use the same knowledge as the chatbot?

Yes. Voice uses the same agent instructions, RAG knowledge, persona, selected model, and compatible tools as the managed text experience.

[03]

Does every agent receive a public phone number?

No universal phone number is promised. Public calling is a beta capability with account and service eligibility. The workspace shows whether calling and its controls are currently available.

[04]

How fast does the voice AI agent respond?

IMFA provides a real-time interaction, but there is no fixed latency guarantee. Response speed varies with the user's connection, browser, selected model, RAG lookup, tools, and service conditions.

[05]

How are voice credits protected?

The product checks plan eligibility and available credits before starting. Sessions end if credits run out or required usage recording cannot be completed.

[06]

What happens if the microphone or connection fails?

The interface reports permission, missing-device, playback, service, secure-session, connection, and reconnection errors. The user can correct the issue and try again rather than continuing an uncertain session.

Questions, projects, or partnerships? Let’s talk.

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contact@imfa.solutions

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IMFA Solutions

The Morocco-based team behind IMFA Agents.

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