Multi-Agent RFI Desk
Missing info detected → RFI drafted → reply tracked → case updated, with escalation paths.
Multi-step handoff with shared case state and human escalation.
Multi-Agent RFI Desk
The interactive console loads on demand. Upload your own file or edit the example input — every result comes back live from the API.
The problem
Incomplete client data blocks bookkeeping; chasing information is fragmented across email and chat.
How it works
Detector agent flags gaps → drafter composes RFI → tracker monitors replies → case state updates; humans escalate sticky cases.
How the AI is built
Three cooperating agents with shared case memory and explicit handoff contracts. Each role can run on the best-fit model.
Human review & control
Operators edit RFI drafts before send and take over when confidence or SLA slips.
Connected tools
Email / Slack-shaped notifications (mock) plus case store.
Stack
- Multi-agent
- LLMs
- Next.js