Most AI services pages read like a menu at a restaurant where nobody has ever cooked. This one is different.
Agentic AI Strategy Review
You have an agentic AI initiative. It might be a plan on a slide deck, it might be a prototype that half-works, it might be a vendor pitch that sounds too good. You need someone who has actually built these systems to tell you what is real and what is not.
I spend one to two weeks inside your initiative. Agent topology, tool boundaries, data flow, evaluation approach, failure modes, cost envelope, and how the whole thing fits (or doesn't) into your organisation. You get a written diagnostic: what works, what doesn't, and what it will actually take to reach production.
No validation theatre. If the initiative is sound, I will tell you. If it needs to be restructured, I will tell you that too. If it should be stopped, you will hear it from me before you hear it from your customers.
Best for: Leadership deciding whether to commit to an agentic AI bet, restructure one, or walk away.
Gen AI Production Architecture
The demo worked. Everyone clapped. Then real users arrived and the system fell over. Answers are slow, expensive, or wrong. The evaluation is thin enough that failures only surface when a customer finds them. Nobody trusts it enough to ship.
I build (or rebuild) the components that decide whether a gen AI system survives contact with production: orchestration, grounding and retrieval, evaluation harness, guardrails, observability, cost and latency envelope. Designed to operate, not to demo.
You get measurable before-and-after results. Not a slide deck with arrows pointing up. Actual numbers on accuracy, latency, and cost, compared against the targets that matter to the business.
Best for: Teams with a gen AI prototype that needs to become a product people actually rely on.
→ Discuss a delivery engagement.
Fractional AI Architect
Some problems are not one-off. You are building AI products, the decisions keep coming, and you need principal-level judgment in the room without a full-time hire on the books.
I embed with your team on a retained basis. Architecture reviews, vendor evaluation, technical decision-making, hands-on guidance. I review pull requests, evaluate vendor claims, sit in architecture meetings, and help your team make better decisions faster.
This is not advisory in the traditional sense. I participate in the work. Twenty years across gaming, fintech, and enterprise, applied directly to your problems.
Best for: Companies building AI products that need sustained senior judgment, not a one-off report.
How engagements work
Every engagement starts the same way: a conversation. You describe the situation. I tell you honestly whether I can help. If there is a fit, you receive a one-page proposal within 48 hours: scope, deliverables, and cost. No ambiguity.
I do the work personally. No junior team, no subcontractors. Direct access to twenty years of building, shipping, and fixing complex technical systems.