The problem
Lenders want AI agents in credit and servicing workflows — but compliance will not approve a system that acts first and explains later.
Regulatory & operational constraints
- Inline evaluation before any action executes
- Fair-lending and prohibited-factor screens
- Examiner-readable reasons on every verdict
- Replayable audit trail bound to rule versions
- Mapped to SR 11-7, ECOA/FCRA, NIST AI RMF
What we built
- 11-stage pipeline: injection defense → PII redaction → policy → rules
- APPROVE / BLOCK / FLAG / ESCALATE before execution
- SHA-256 proof binding decision to exact rule set
- Human escalation queue for edge cases
- BFSI agent templates for common lending workflows
Operating results
- Verdicts in under 1 ms, before execution
- SHA-256 proof binding every decision to its rules
- 13 BFSI agent templates, examiner-readable reasons
Who this is for
Lenders, fintech risk teams, and compliance officers who need AI agents that can survive an exam.
More proof