Overview
Design, ship, and scale finance‑savvy AI agents on SeQura.
Why build an AI agent?
- Cut reconciliation time by 50%+ with natural‑language queries
- Eliminate manual spreadsheets for payouts, fees, and adjustments
- Proactive anomaly detection and monthly reporting
What you’ll build
- Reconciliation Agent (daily): checks totals, fees, retentions, adjustments
- Reporting Agent (weekly/monthly): compiles metrics & exports
- Anomaly Agent (ad‑hoc/real‑time): flags unusual fee or settlement patterns
How it works (concept)
User ↔ AI Client (Claude/Cursor/ChatGPT) ↔ MCP Client ↔ SeQura Finance Tools ↔ Disbursements & Settlements
Note: The underlying transport is MCP; you don’t need to be an MCP expert—this guide abstracts it.
Updated 4 days ago