Custom B2B AI & Data Solutions
Privacy-preserving AI for GRC and data operations
I advise on and prototype AI tools for GRC teams — privacy-preserving analytics, automation, and data classification — from pilot to production.
Problems we solve
Where programs get stuck
- Manual GRC work that does not scale
- No path from AI pilot to production controls
- Data classification still spreadsheet-driven
- Need for privacy-preserving analytics patterns
Approach
How engagement works
- 1
Scope high-ROI automation opportunities
- 2
Design with privacy-by-design and least privilege
- 3
Prototype with clear evaluation criteria
- 4
Handoff playbook for engineering ownership
- Engagement model
- Advisory + prototype guidance; implementation handoff to your engineers
- Typical timeline
- Discovery and PoC scoping 2–4 weeks; prototype phases vary
- Best fit
- Teams ready to automate GRC/privacy ops with privacy-preserving patterns
Deliverables
What you walk away with
- Solution brief and architecture sketch
- Prototype or PoC guidance
- Data protection impact notes
- Production readiness checklist
Outcomes
Benefits that compound
- Prioritized automation backlog with privacy-by-design constraints
- Prototypes evaluated against clear success criteria
- Production readiness path engineering teams can own
- Less spreadsheet-driven classification and GRC toil
Discuss Custom AI Solutions
Share your context and constraints. I'll recommend a scoped next step — assessment, roadmap, or fractional support.
Frequently asked questions
Often paired with
Related services
From the blog
Related insights
Practitioner notes on privacy, AI governance, and operational excellence.
- AI GovernanceTwo AI Signals, One Homework: Coordinated Regulators and Concrete HarmsCanada's privacy commissioners met in Ottawa while California expanded AI incident reporting. Different continents, same operational message: inventory AI by decision impact, practice incident reporting, and document like a stranger will audit you.
- CISSPAI Security Platforms Are Not a Vendor Category You Can IgnoreGenAI and agentic AI break SaaS-era controls. AI security platforms unify shadow AI discovery, app runtime defense, and identity for models that act.
- AI GovernanceWhy I'm taking the AI-privacy conversation on the road: 16 podcasts worth your subscribeThe best AI-privacy conversations are happening on podcasts. Here's the 16-show circuit I'm pitching — and one question I'd bring each host.
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This site provides general information and thought leadership. Specific advice requires engagement and consideration of your unique circumstances. Not a substitute for legal counsel.