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Govern AI Systems Before They Become Enterprise Risk

The control plane that turns AI governance from policy paperwork into enforced operating controls.

[interface] screenshot of core features (for a ai legal tech company)

Organizations are deploying AI faster than they can govern it.

Every AI system in production without documented controls is an audit finding waiting to happen. Procurement teams reject vendors who can't prove governance. Regulators are moving from guidance to enforcement. The gap isn't technology. It's the ability to prove — to auditors, procurement officers, and boards — that every AI system is inventoried, risk-assessed, and operating within approved controls.

Request Pilot Review

Use this form to request a focused pilot-fit review.

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30-Day AI Governance Pilot

1

AI Inventory

Complete catalog of your AI systems, models, and data pipelines

2

Risk Assessment

Risk evaluation against NIST AI RMF or your internal framework

3

Control Review

Gap analysis: which controls exist, which are missing, what to prioritize

4

Executive Governance Report

Board-ready findings, risk scores, and prioritized recommendations for leadership

Built for Regulated Industries

Government

Federal and state agencies deploying AI under executive orders, OMB guidance, and NIST AI RMF. Prove governance before deployment.

Government Contractors

GovCon firms responding to RFPs that require AI governance documentation. Win contracts by proving your AI systems are governed.

Healthcare

Health systems and digital health companies navigating FDA AI/ML guidance, HIPAA, and clinical AI governance requirements.

Financial Services

Banks, insurers, and fintechs managing model risk under SR 11-7, OCC guidance, and emerging AI regulations.

Four Pillars of AI Governance

AI Inventory

Catalog every AI system, model, and data pipeline across your organization. Know what's deployed, where it runs, and who owns it.

Risk Management

Assess risk for each AI system against your framework — NIST AI RMF, EU AI Act, or internal policy. Flag high-risk systems before they reach production.

Control Validation

Map controls to each AI system. Track approval workflows, policy attestations, and change management. Nothing reaches production unreviewed.