What we deliver
- SOC 2 Type II readiness — Gap analysis, control design, evidence collection, and audit preparation
- HIPAA-compliant AI deployment — PHI handling protocols, BAA review, secure architecture patterns
- Model risk management — Validation frameworks, bias monitoring, performance tracking, and incident response
- Governance frameworks — AI use policies, approval workflows, vendor evaluation criteria, and responsible AI guidelines
- AI strategy & roadmap — Use case prioritization, build vs. buy analysis, and implementation planning
- Team enablement — Training, documentation, and change management for AI adoption
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 available for audit preparation and compliance monitoring
Good fit if...
- You're deploying AI in a healthcare environment and need compliance confidence
- SOC 2 or HIPAA compliance is on your roadmap or required by customers
- You need model risk management but don't have in-house expertise
- Leadership wants AI governance policies before scaling AI adoption
- You're facing audit timelines or customer compliance requirements
Common scenarios
Health tech startups: First SOC 2 audit, AI governance policies for enterprise sales
Health systems: Responsible AI framework for clinical AI deployment
Mid-market companies: HIPAA compliance for AI-powered products
Enterprise teams: Model risk management and vendor evaluation for AI tools
How it works
Weeks 1-2
Assessment
- • Current state review
- • Gap analysis
- • Risk identification
- • Compliance roadmap
Weeks 3-6
Framework Design & Build
- • Policy development
- • Control implementation
- • Documentation
- • Team training
Weeks 7-8
Validation & Handoff
- • Internal testing
- • Evidence review
- • Audit preparation
- • Ongoing monitoring plan