Call taken, task done
The agent takes the call, understands the request, books an appointment or checks a status — and transfers to an operator when needed.
01Builder
Sketch your AI agent’s architecture
Pick tasks, sources, actions and the autonomy level — the diagram appears on the right: employee, agent, data, approval and actions.
Preliminary architectureNodes: 10
- Employee → Agent runtime
- Phone · speech → Agent runtime
- Agent runtime → Guardrails · audit, LLM, CRM, Docs · RAG, Reply to user, Create ticket, Book meeting
- Guardrails · audit
- LLM
- CRM
- Docs · RAG
- Reply to user
- Create ticket
- Book meeting
AGENT Voice calls agent CONTEXT CRM · Docs · RAG ACTIONS Reply to user · Create ticket · Book meeting CONTROL Acts within tool permissions · Role-based access to sources · Audit log of every tool call
This is a preliminary outline. The architecture may change once we review the process and the data.
02Voice Agent
What matters in voice
Response latency, speech recognition in the right languages and a clear way to reach a person. We check these in a pilot before launch.
03Contact
What do you want to hand to AI?
Describe the task in your own words, answer five questions and get a preliminary AI agent schema. Or just write to us.
Preliminary AI agent schema
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