Designing an AI credit workflow that keeps people in authority

Credit review crosses borrower records, financial ratios, news, legal research, spreadsheets, approval emails, and recurring monitoring. The work is fragmented, while the final decision still needs a defensible evidence trail.

An agent in this setting cannot simply generate a rating. It has to gather sources, separate facts from model-assisted judgement, expose uncertainty, and hand authority back to the responsible officer.

Axis Agents designed and built the agentic product slice across the web interface, Python API, PostgreSQL-backed workflow state, enrichment pipeline, review paths, monitoring surfaces, and reporting views.

The system is shaped around officer, senior-officer, and administrator responsibilities so agent suggestions remain reviewable actions rather than silent automated decisions.

Consequential grade changes follow a separate submission and approval workflow that prevents an initiator from approving the same change.

Destructive chat actions require an expiring confirmation step. The function named human_review_gate routes by confidence; it is not itself a paused reviewer checkpoint.

A working end-to-end demonstrator that makes the path from borrower intake to reviewed decision visible in one operating surface.

The build demonstrates a reusable agentic pattern: deterministic data work, bounded model assistance, durable workflow state, explicit human authority, and traceable follow-up actions.

The same architecture applies to compliance, underwriting, investigations, and other workflows where an agent must show its work before a person acts.