Three engagement models, each designed to close a specific gap between AI investment and AI results.

AI Triage

A structured assessment of your current AI system.

I get access to your AI system for three days. I review the architecture, prompts, retrieval pipeline, cost structure, and operational setup. You receive a written diagnostic with prioritized recommendations, ranked by effort and impact.

The goal is not to validate the investment. It is to give you "an honest, technically grounded picture of where things stand, what is working, what is not, and what the most effective next steps are.

Best for: Organizations evaluating whether to continue, pivot, or expand an existing AI investment.

Typical outcomes:

  • Clear identification of the root causes behind underperformance.
  • A prioritized remediation plan with realistic effort estimates.
  • An informed basis for deciding whether to invest further, restructure, or stop.

→ Discuss an AI Triage.

RAG Pipeline Fix

Production-quality retrieval, delivered.

Retrieval-augmented generation is where most AI implementations stall. The prototype works. The production system does not. Answers are slow, expensive, or wrong. Nobody trusts it enough to ship.

I rebuild the components that are causing the problem: chunking strategy, embedding model selection, retrieval logic, re-ranking, and the prompt chain. You get measurable before-and-after results on accuracy, latency, and cost.

Best for: Teams with a working prototype that needs to reach production quality.

Typical outcomes:

  • Answer accuracy improved to production-acceptable thresholds.
  • Latency and inference cost reduced to sustainable levels.
  • A retrieval pipeline the team understands and can maintain.

→ Discuss a RAG engagement.

Fractional AI Architect

Ongoing senior technical leadership.

Some organizations need sustained architectural judgment, not a one-off assessment. I embed with your team on a retained basis: weekly architecture reviews, vendor evaluation, technical decision-making, and hands-on guidance.

This is not advisory in the traditional sense. I participate in the work. I review pull requests, evaluate vendor claims, sit in architecture meetings, and help your team make better decisions, faster. Twenty years across gaming, fintech, and enterprise, applied to your problems.

Best for: Companies building AI products that need principal-level judgment without a full-time hire.

Typical scope:

  • Architecture review and technical decision support.
  • Vendor and tool evaluation.
  • Team mentorship and engineering quality oversight.

→ Discuss a retainer.

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.

Ready to talk.

An honest assessment of where things stand, and whether I can help.