For leaders
Most AI pilots never ship. Your job is to change that.
Direct help for CEOs who need to choose the right AI work, set production criteria, and assign ownership without making a full-time executive hire.
- 01A prioritized AI roadmap tied to objectives and P&L, not a lab list.
- 02Pilots that graduate to production, with unit economics you can defend to the board.
- 03Fractional CAIO access on a retainer, not a full-time hire.
- 04Your teams equipped with the agents, tooling, and methods to keep shipping after the engagement ends.
01 · The imperative
You're past the "should we use AI" phase.
A pilot is not evidence of business value. Before it receives more budget, it needs an owner, a baseline, an evaluation set, a cost model, and a stop condition.
Your job is to decide which AI bets the company places, which it stops, how the useful ones reach production, and who owns the unit economics. Those decisions belong in the operating plan, not in an isolated innovation lab.
The operating plan should cover roadmap, team ownership, agent boundaries, model choices, cost controls, review requirements, and applicable regulation. I help turn those decisions into work that a named team can ship and measure.
02 · The role
Chief AI Officer work without the full-time hire.
The work spans business priorities, technical review, delivery, cost, and risk. Splitting those decisions across disconnected advisers leaves the CEO to reconcile them.
A fractional engagement puts one person across the roadmap and implementation review while your internal leaders retain ownership. It can test the role and operating model before you decide whether a full-time hire is necessary.
As your Fractional CAIO and 1:1 AI partner, I review the bets, implementation choices, evals, costs, and rollout plan with the people accountable for the result.
- VisionTurn business objectives into a short list of AI work with owners and stop conditions.
- ROIIdentify and prioritize AI opportunities that move your P&L. Kill the ones that don't.
- Agent strategyDecide which functions get autonomous agents, which get copilots, and which stay fully human.
- Model portfolioChoose frontier models deliberately, architect for model-swap, avoid lock-in to a single vendor.
- Cost governanceMeasure cost per completed task and set budget alerts before broader rollout.
- GovernanceDocument data access, review requirements, risk ownership, and the regulations your counsel identifies.
- LiteracyGive leaders and the board enough technical context to question costs, risks, evals, and ownership.
- DeliveryDrive execution of AI solutions with measurable business outcomes and a believable path to production.
03 · Capability
From vision to embedded capability.
A central lab cannot own every workflow. The business function that owns a process also needs to own its requirements, acceptance criteria, and production result.
My default design is hub plus embedded. A small central group owns platform, standards, and governance. People inside each function own workflow redesign and results. I help define the handoff between those groups.
01
Structure
Hub-plus-embedded org design. Central platform and standards. Function-level teams that own workflow redesign.
02
Coaching
Direct mentorship for your AI leaders and the operators they'll rely on inside each function.
03
Prioritization
A scoring method for selecting, sequencing, and stopping AI projects.
04
Handoff
Transfer the agents, prompts, evals, runbooks, and ownership needed after the engagement.
04 · Services
Four ways to engage.
CEO AI Strategy & Roadmap
1:1 working sessions to assess readiness, select opportunities, and deliver a prioritized roadmap tied to existing objectives. Every item gets an owner and a stop condition.
Fractional CAIO Engagement
Ongoing strategic partnership at the executive level. Project oversight, vendor and model portfolio decisions, governance frameworks, cost governance, board and investor communications on AI strategy.
Implementation Coaching & Oversight
Direct coaching through development and deployment, including agent boundaries, tool selection, MCP integrations, and eval design.
Executive & Board AI Acumen
Tailored sessions for your executive team and board. Sharpen the questions they ask, the risks they spot, and the bets they back. Separates the pattern-matchers from the real practitioners.
05 · Why me
Why partner with workflows.diy.
Builder + strategist
I have used AI coding agents in production work for more than three years. I can review both the operating decision and the implementation.
Current practice, not past credentials
My current work includes context engineering, MCP integrations, multi-agent orchestration, and eval design.
CEO-centric
I know the pressures of executive leadership. Confidential, direct, and tuned to the pace at which you actually need to move.
Handoff over dependency
The goal is internal ownership, not a retainer renewal. I transfer the working system, runbooks, evals, and decision record.
Fractional by design
Choose a defined monthly scope without creating a permanent executive position first.
Killable by design
Month-to-month. If I'm not earning the retainer, you end it. That discipline keeps the work honest.