Low-latency AI voice agents that answer calls, capture requests, book appointments and pass a summary to your team, with transcripts and clear handoff.
The problem
Calls outside office hours go to voicemail, peak hours mean missed calls, and every missed call is a customer who may not try again.
How it works
Calls answered, requests captured and slots booked, with a transcript for every conversation.
- AnswerThe voice agent answers naturally and identifies itself as an AI assistant.
- UnderstandIt captures the request in short turns and confirms details back.
- BookIt checks availability and books, confirming the slot out loud.
- SummariseYour team receives a transcript and a structured summary.
- EscalateUrgent or complex calls are transferred or called back by a person.
Where people stay in control
- The agent never pretends to be a person
- Bookings are confirmed before they are made
- Urgent cases are escalated immediately
What it connects to
How we deliver ai voice agent
The same method as every AI Agents & Automation engagement: each stage ends with a decision you sign off. We work with teams in Bengaluru, across India and abroad.
We study the problem with the people who live it: workflow, customers, constraints.
Problem brief agreedWe agree what success means, what is in scope and the hypothesis we are testing.
Scope signed offFlows, interfaces and architecture, tested as a prototype before engineering starts.
Prototype approvedWorking software and artefacts, demonstrated every week.
Features acceptedRelease to real users with documentation, monitoring and a runbook.
Release acceptedWe measure what happened and turn it into the next roadmap.
Roadmap reviewedRelated insights
- What is an AI-native company?An AI-native company redesigns workflows, decisions, data access and software so AI is part of how the business runs. What it means, how it differs from adding AI tools, and how to start.
- What should an AI agent be allowed to do? A practical modelA practical permission model for AI agents: four levels of action from read-only to high-impact, how to enforce them in code rather than prompts, and how to design the handoff to people.
- The anatomy of a production AI agentKnowledge, tools, permissions, a provider abstraction, evaluation and observability: the parts that turn an AI demo into a production AI agent a business can rely on.
Do AI voice agents sound natural?+
Modern realtime voice models handle natural turn-taking and interruptions well. We design short turns, clear confirmations and a quick route to a person, which matter more than the voice itself.
Are calls recorded?+
That is your decision and must follow applicable law and consent. Many deployments keep a transcript and summary without storing raw audio.
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