You've invested in AI experiments. Some showed promise, most stalled. You need someone who's shipped AI at enterprise scale — without the 6-month consulting engagement.
Every department ran its own experiment. None talk to each other. You have 12 proofs of concept and zero production systems.
Leadership keeps asking what the AI investment has delivered. Your team keeps pointing to "potential."
You picked a platform early. Now you're not sure if it's the right one, and switching costs keep climbing.
Your legal and security teams are raising flags. There's no AI governance framework, no model inventory, no risk assessment process.
You need senior AI leadership but a full-time CAIO hire takes 6 months and costs $400K+. Meanwhile, nothing ships.
You've paid for strategy decks. What you need is someone who can sit with your engineering team and actually ship.
Not another strategy engagement. A hands-on sprint to production-ready AI.
I audit your AI landscape — pilots, tools, data, team capabilities, governance gaps. You get a prioritized roadmap ranked by business impact and feasibility.
I work directly with your engineering team to architect and ship production AI systems. Not wireframes. Working software.
We establish governance frameworks, monitoring, team enablement, and a repeatable process so your organization ships AI independently.
Strategy that ships. Systems that scale. Teams that sustain.
A prioritized, board-ready AI roadmap tied to business outcomes — not a list of technologies.
Architected and shipped alongside your engineering team. RAG pipelines, agentic workflows, model orchestration.
AI policy, model inventory, risk assessment, compliance documentation. Ready for audit.
Independent assessment of your AI stack. Where you're over-invested, where you're exposed, what to consolidate.
Structured training for engineering, product, and leadership teams. The goal is organizational independence.
Board decks, ROI frameworks, and progress reporting so leadership stays aligned and funded.
Platform & model agnostic
Every engagement comes with full documentation, team training, and production-grade handover. I build systems your team can own, operate, and extend. No vendor dependency. No black boxes. If it doesn't ship, I haven't done my job.
Two decades of building and shipping at enterprise scale.
No RFP. No procurement theater. Start in days, not months.
4-6 weeks. I assess your AI landscape, define a production roadmap, and ship the first high-impact system. Ideal when you need clarity and momentum fast.
Ongoing 2-4 days/month. I embed as your senior AI leader — setting strategy, unblocking engineering, governing deployments, and reporting to the board. All the impact without the full-time hire.
They send a team of 10 juniors for 6 months and deliver a deck. I work directly with your engineering team and ship production systems. No junior consultants, no handoff gaps, no 200-page reports that sit on a shelf.
I operate as your senior AI leader 2-4 days per month. I attend leadership meetings, set AI strategy, work with engineering on architecture, establish governance, and report progress to the board. You get C-level AI leadership without the C-level salary.
Data scientists build models. I ship products. The gap between a working notebook and a production system is architecture, governance, team process, and cross-functional alignment. That's what I close.
Every engagement includes governance framework design. I work with your security and legal teams to establish AI policies, model inventories, and risk assessments that satisfy audit requirements.
I take on a limited number of enterprise engagements to ensure depth over breadth. Sprint engagements start within 1-2 weeks. Fractional CAIO slots are first-come, first-served.
Yes. I'm platform-agnostic. Whether you're on AWS, Azure, GCP, or a mix, I work with what you have and recommend changes only when there's a clear business case.
Week 1: stakeholder interviews and AI landscape audit. Week 2: prioritized roadmap presentation to leadership. Weeks 3-4: hands-on build of the highest-impact use case with your engineering team. You have a production system by day 30.
One call. I'll identify your highest-impact AI opportunity and tell you exactly how I'd ship it.