FinAssist - Payment Resolution Agent
Anusha Bh
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FinAssist - Payment Resolution Agent
An AI agent that resolves failed and unsettled payments by giving users honest, policy-accurate answers when their money is stuck.
Built with a four-loop architecture: agent loop, verification loop, event-driven lifecycle, and a human-gated self-improvement loop.
What it does
Classifies payment issues and retrieves transaction data deterministically
Composes regulation-accurate responses grounded in NPCI and NEFT policy rules
Blocks unsafe responses via a deterministic policy layer before they reach the user
Tracks tickets until the payment is resolved, not just until the user gets an answer
Learns from feedback through a nightly eval pipeline where a stronger model grades output and humans approve changes
Stack
FastAPI, Supabase, LLM API, OpenTelemetry + Arize
Setup
git clone https://github.com/AIPMProfile/payment-resolution-agent cd payment-resolution-agent pip install -r requirements.txt cp .env.example .env python -m app.db.seed uvicorn app.main:app --reload
Required keys in .env:
ANTHROPIC_API_KEY= SUPABASE_URL= SUPABASE_KEY= ADMIN_API_KEY= AUTH_SECRET_KEY= ARIZE_API_KEY= ARIZE_SPACE_ID=
Run app/db/supabase_schema.sql in Supabase before seeding.
Tests
pytest tests/ -v
Known gaps
Transactions table is seeded and static. In production, settled_at would be populated by Federal Bank webhook on NPCI settlement confirmation — the cron and ticket lifecycle are built for this integration.
About
Four-loop AI agent that resolves failed and unsettled payments with deterministic policy enforcement, cost-aware model routing, and a human-gated self-improvement loop.
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MIT license
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Posted Nov 2, 2026
FinAssist — an AI agent that classifies and resolves failed or unsettled payments, enforces deterministic policy, and tracks tickets until resolution.
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