App 07 · FIG. 007
MFZ Zambia AI Chatbot
Get loan enquiries to the right team
Customer Target
MFZ Zambia customer-service teams, loan officers and prospective borrowers
Status
Inactive
Agent Surface B
MCP ReadyModel Context Protocol Enabled
Registered in /.well-known/mcp.json & /llms.txt with deterministic Zod schema validation.
About Product
The MFZ Zambia chatbot project helps customers find service information and reach the right team. It guides the first conversation so staff receive the details they need to follow up.
Customers can ask about a loan product, provide their location and explain what help they need. The enquiry is then directed to the appropriate branch or loan officer.
Loan officers handle application discussions and lending decisions. The chatbot project is currently inactive and is shown as previous work.
Dual-Surface Execution
Human vs. Agent Flow
Every action in MFZ Zambia AI Chatbot is mapped bi-directionally across Surface A (Visual UI) and Surface B (Programmatic MCP Engine).
- 01Ask about a loan product or service.
- 02Read the available information.
- 03Share your location and what help you need.
- 04Find the appropriate branch or loan officer.
- 05Continue the discussion with the lending team.
1. Discovery: Scraper/Agent fetches /llms.txt or /.well-known/mcp.json manifest.
2. Tool Invocation: Executes deterministic Zod-validated tool contracts matching mfz-ai-chatbot operations.
3. Replay Protection: Enforces Idempotency-Key: <uuid> to prevent duplicate mutations during LLM retry loops.
4. Token Compression: Returns structured, PII-minimized Markdown/JSON stripping all layout noise.