AI inside the audit trail.
We build AI for banks, asset managers, and broker-dealers — the kind of organizations where every model has to clear model risk, every output has to be reproducible, and the audit channel was running long before AI showed up.
Six practical patterns for FS firms.
- 01
Model risk evaluation harnesses
Eval and regression frameworks calibrated to MRM expectations. Reproducible, traceable, auditor-ready.
- 02
Fraud and AML signal review
LLM-assisted triage for analyst queues. Reduces false-positive review time, keeps SAR integrity.
- 03
Regulatory documentation drafting
Drafting and refresh of model documentation, change records, and supervisory submissions.
- 04
Research and trading desks
Internal research assistants over your filings, terminals, and analyst notes. Information-barrier aware.
- 05
Operations automation
Reconciliation, exception handling, and trade-break investigation with humans firmly in the loop.
- 06
Wealth and advisor tooling
Advisor-facing assistants, meeting prep, suitability narrative drafting, with full disclosure trail.
Regulators we have built for.
SR 11-7 model risk programs at US bank holding companies. SS1/23 model risk principles for UK PRA-regulated firms. EBA guidelines for European banks.
FINRA, SEC, CFTC supervisory expectations on broker-dealer and asset-manager AI use, including the supervisory letters and rule proposals from 2024 onward.
If the auditor wants to see how the system makes a decision, we have built it that way from the first commit.
Have a regulated AI brief?
Tell us where you are. We'll come back with a written shape.