Fund the AI pilots that can reach production
I work 1:1 with CEOs as a fractional Chief AI Officer. We decide which AI work gets the budget, and your team gets the winners into production.
Ask these before a pilot gets more money
A pilot that can't answer all five isn't ready for more money. Run them against the one you are funding now.
- 1OwnerWho answers for the result?
- 2BaselineWhat does the process cost and produce today?
- 3Evaluation setWhich real cases show the output is right?
- 4Cost modelWhat does one completed task cost?
- 5Stop conditionWhat result ends the pilot?
If an answer is missing, the next month goes to finding it. More build work can wait.
A fractional CAIO keeps the decisions in one place
AI work crosses business priorities, technical review, delivery, cost and risk. Split across separate advisers, those decisions come back to you to reconcile.
As your fractional CAIO, I review each bet with the person who answers for its result. We look at the build, the evals, the cost per completed task and the rollout plan, and your internal leaders keep ownership.
Along the way we decide which functions get autonomous agents, copilots or no AI at all, and which models you can swap without a rebuild. You also get enough context to answer the board's questions about cost and risk.
The engagement tests the role before you hire for it. You see what a Chief AI Officer would own in your company, and whether the job needs a full-time person.
Each function owns its own AI work
A central AI lab can't run every workflow. My default design keeps a small central group for the platform, standards and governance. The people inside each function own their workflows and the results.
I coach the leaders on both sides of that handoff. When the engagement ends, your team has the agents, prompts, evals and runbooks, so the work keeps shipping without me.
Ways to start
- Roadmap sessions
- 1:1 working sessions that end with a short list of AI work tied to your objectives. Every item has an owner and a stop condition.
- Fractional CAIO
- A monthly retainer for oversight of the AI work, vendor and model decisions, governance, cost control and board updates on AI.
- Implementation coaching
- Your team builds, and I review agent boundaries, tool choices, MCP integrations and eval design as they go.
- Executive and board sessions
- Sessions that prepare your executive team and board to question AI spending and risk.
Prices for calls and retainers are on the home page.
I still build with these tools every day
I have used AI coding agents in production work for more than three years. That lets me review the business decision and the implementation behind it.
You can check the work before you write. The 33 n8n templates are public, and the most-viewed has 113,137 views on n8n.io. The MiniFrames build notes cover a recent tool from its virtual clock to the finished video.
The retainer runs month to month, and every plan carries a full refund if the work isn't worth the price. If I'm not earning the retainer, you end it.
Bring the pilot you are deciding on
Send the pilot, what is stuck and your plan. We run the five questions on it first, then decide what gets the budget and who owns it.