AI Governance & Compliance
Deploy AI your compliance committee, your auditors, and your customers can accept. We write the frameworks and build the controls, and because we ship auditable AI ourselves, the governance we design is one a working system can actually pass.
Controls that hold, not shelfware
- SOC 2 readiness: gap analysis, control design, evidence collection, and audit preparation, run to a timeline your sales team can quote.
- HIPAA-compliant AI deployment: PHI boundaries, BAA review, and secure architecture patterns, including no-copy, authorized-view designs that keep PHI inside your network.
- Model risk management: validation frameworks, monitoring, performance tracking, and incident response, proportionate to what the model actually decides.
- Governance frameworks: AI use policies, approval workflows, vendor evaluation criteria, and responsible-AI guidelines your committee can operate.
- Team enablement: training, documentation, and change management so adoption survives the audit and the org chart.
The difference: we are practitioners. The auditability we write into policy is the same property we ship in working systems, down to the audit surface (Provenance) a committee can open and inspect.
Typical engagement
Duration: 6-8 week sprints
Format: remote-first with optional on-site
Deliverables: documented frameworks, policies, and implementation guides
Follow-up: ongoing advisory for audit preparation and monitoring
Good fit if
- You are deploying AI in a healthcare environment and need compliance confidence.
- SOC 2 or HIPAA is on your roadmap or required by your customers.
- Leadership wants AI governance in place before adoption scales past it.
- An audit timeline or a customer security review is already on the calendar.
Assess, build, prove
Assess
Current-state review, gap analysis, and risk identification, mapped to the framework you are being held to. Weeks 1-2.
Build
Policy development, control implementation, documentation, and team training. Weeks 3-6.
Prove
Internal testing, evidence review, audit preparation, and the monitoring plan that keeps you ready. Weeks 7-8.
Common scenarios
Health systems
A responsible-AI framework for clinical and operational deployment, and the review-committee posture to run it.
Enterprise and academic systems
Model risk management and AI-governance readiness for research and enterprise AI programs, with no PHI leaving the network.
Healthcare technology companies
First SOC 2 audit and HIPAA-compliant AI architecture for enterprise sales, built to pass a customer security review.
Get to yes with your compliance committee
Tell us what you are deploying and who has to clear it. We will scope the shortest path to a defensible yes.