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Consulting service

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 these programs stall

  • 01

    Manual GRC work that does not scale

  • 02

    No path from AI pilot to production controls

  • 03

    Data classification still spreadsheet-driven

  • 04

    Need for privacy-preserving analytics patterns

Approach

How the work runs

  1. Step 1

    Scope high-ROI automation opportunities

  2. Step 2

    Design with privacy-by-design and least privilege

  3. Step 3

    Prototype with clear evaluation criteria

  4. Step 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 & Data Solutions

Share your context and constraints. I'll recommend a scoped next step: assessment, roadmap, or fractional support.

Frequently asked questions

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