Win your market with AI.

The 70% they're usually not resourced for — change management, process redesign, governance, and adoption discipline. I make sure what your team builds actually gets used and holds up to scrutiny. I make sure your AI implementation is successful and governed, based on the best practices on the market.

Yes. I'm not reselling a platform. I help you choose the right tools for your context and govern them — the strategy is independent of any vendor. I do due diligence on governance vendors — I can't also be their channel partner. You're paying for the one person in the room with no software quota.

As a method, not a promise: every use case is registered and triaged, consequential ones get full review against the policies you've adopted, every decision is signed by a named owner, and the evidence is on record before anyone asks. Engagements run at one of three governance levels — Essential, Standard, or Regulated — set by your risk profile and company size, not by preference. Even "no governance, please" gets Essential; I don't ship ungoverned work.

I prepare and map — policies, AI-layer controls, evidence structure — into the frameworks and tools you already run (including Vanta-class platforms; I overlay, never replace). Certification itself comes from auditors: SOC 2 attestation from a CPA firm, HIPAA counsel where health data is real. I make sure you walk into that process ready, and that your AI layer doesn't break what you've already certified.

The Readiness Assessment delivers a prioritized view in 3–4 weeks. From there, the roadmap sequences quick wins early while building toward larger operating-model change.

Whichever question you're stuck on. One diagnostic tells you where the money is, whether your data supports it, and which rules apply — all the facts, one fee. Then we prove it by building one thing and measuring it in 30 days. Higher steps only ever sell machinery and execution, never information you should have gotten cheaper.

Everything I build passes a strict delivery-assurance standard — registered in your AI registry with a rollback plan, human-in-the-loop by default, tested with an evidence pack you keep, rolled out in stages, 30-day warranty. If it can't produce its evidence pack, it doesn't go live. The record shows what was tested, what was reviewed, and who signed off — your named owner makes the call.

Three ways: an eligibility rubric in writing (I build on your existing stack, internal-facing or human-reviewed, always reversible — and I decline what's not mine to build); staged rollouts with the code in your repo, not mine; and when a build needs deep engineering, I say so and direct a vetted engineer instead of pretending.

Never. Your GRC is the skeleton; AI governance arrives as an overlay — the registry maps into your platform, AI controls extend your existing control families, and AI risk reports into the committee pack your board already reads. You'll get two lists: what your GRC already covers (don't pay again), and what's genuinely new for AI.

Two kinds of machines: my tools and your appliances. My tools process what you hand me — under business contracts that forbid the AI vendors from keeping or learning from it, with deletion deadlines in the SOW; anything too sensitive is processed inside your walls instead. Everything I build permanently runs in your house: your tenant, your cloud, your API keys — nothing phones home to me. The registry is a document in your SharePoint or your GRC platform, not a service of mine. Revoking my access is one click.

Yes — governed ones. Agentic orchestration without process redesign automates chaos at machine speed. I build agents your board can defend: registered in your AI registry, human-in-the-loop where it matters, with a rollback switch.

Every engagement is fixed-fee and scoped to your situation — you know the cost before we begin. On builds, part of my fee is only payable when your day-30 metric is hit. Request pricing and I'll respond within one business day with a range tied to scope.