Multi-Agent RFI Desk
Missing info detected → RFI drafted → reply tracked → case updated, with escalation paths.
Case state with detection, drafting, and tracking steps plus human escalation.
30-second recap
- Missing info detected → RFI drafted → reply tracked → case updated, with escalation paths.
- Case state with detection, drafting, and tracking steps plus 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.
System design
Three cooperating agents with shared case memory and explicit handoff contracts. Each role can run on the best-fit LLM model and returns structured JSON.
Human review & control
Operators edit RFI drafts before send and take over when confidence or SLA slips.
Integration scope
Email / Slack-shaped notifications (mock) plus case store.
Stack
- Multi-agent
- LLMs
- Next.js
What the live demo shows
Live multi-agent workflow with shared case state. Detector, drafter, and tracker run as separate LLM steps with handoff contracts.
Current limitations
Email and Slack notifications are mock shapes. No real inbox or channel integration.