AI your examiners can live with.
Regulated AI Labs builds governed, auditable AI agents that run inside your bank's own AWS account — so member and customer data never leaves your control, and every action an agent takes is logged, attributable, and ready for review.
Why most AI is a non-starter for a bank
Commercial AI platforms want your data in their cloud. For a regulated financial institution, that's where the conversation usually ends — your examiners, your board, and GLBA all expect the data to stay where you can govern it. So you're stuck: the productivity is real, but the compliance risk is real too.
A different setup
We install our Regulated Agent Infrastructure (RAI) into your AWS account — not ours. Nothing runs in a Regulated AI Labs-operated environment.
Your data never leaves your control.
It stays in your account, your region, under your keys. We can't see it, and neither can any model vendor.
Examiner-ready, not demo-ready.
Every agent action is governed at a single chokepoint and written to a tamper-evident, audit-ready log. When someone asks "what did this agent do, and on whose authority?" — you have the record.
One agent, one boundary.
Each agent ships with an Agent Stamp that pins exactly what it can touch, what it can do, and which controls it answers to. One stamp, one agent, one boundary.
Speaks your auditors' language
RAI maps agent controls to the frameworks your examiners already hold you to — so your compliance team inherits evidence instead of building it from scratch.
We're rolling out coverage for the frameworks that matter to a financial institution, including:
- GLBA Safeguards
- FFIEC guidance
- PCI DSS
- NIST Cybersecurity Framework 2.0
- ISO 27001
- NIST AI Risk Management Framework
- model-risk governance
Our governance layer produces SR 11-7-grade model-risk artifacts — the documentation, monitoring, and validation trail your model-risk function expects for the AI you put into production.
Try it in 30 days
We don't do open-ended proofs of concept. We run a fixed, 30-day paid pilot on a real workflow of yours — using synthetic or sample data only, never live customer or member records.
- $5,000–$15,000 priced to the complexity of the workflow.
- 30 days, fixed. You get a working, governed agent and the audit trail to go with it — not a slide deck.
- If it earns its place, the pilot converts to an annual RAI license that runs in your own account.
A paid pilot keeps both sides serious. You get something that survives a review; we get a customer, not a tire-kicker.
Who's behind this
Regulated AI Labs is led by David Beasley — 14+ years in Army Military Intelligence and hands-on government-grade security and compliance work, now building that same discipline into AI for regional banks, credit unions, and other regulated organizations across the CSRA. You'll talk to the person building the system. Not a sales team.