Full-time Head of AI
Risk: One person's bet on which patterns survive.
Lock-in: 24+ months of inherited architecture.
When right: $5M+ AI budget, 50+ engineers, AI core to product.
You stop being on call for AI. The board stops asking. I bring the patterns. Your team runs it after. 6-month minimum. I hold ~4 active client commitments across Fractional, Scoped Build, and Audit. Mix depends on what's already booked.
How the math shapes up in 2026.
Risk: One person's bet on which patterns survive.
Lock-in: 24+ months of inherited architecture.
When right: $5M+ AI budget, 50+ engineers, AI core to product.
What you get: They ship the agent. Not the strategy.
Lock-in: Undocumented prompts, brittle pipelines.
When right: You already have a Director-altitude AI leader in-house.
Structure: allocated-time or quarterly retainer. Quoted in writing within 48 hours.
What you get: Director-altitude strategy. Three-Horizon allocation. Leadership-Lab-Crowd adoption. Hands-on when leverage is high.
Lock-in: None.
When right: Between "needs AI leadership" and "ready for full-time." Most $5M-$200M ARR.
I bring the pattern library and the program discipline. Your team brings the business. By the end, they name the patterns, run the evals, defend the allocation, and ship without me. The deliverable is a capable team. Not a vendor.
Explicit budget across H1 (0-12 mo), H2 (12-24), H3 (24-48). Each horizon, its own measurement standard. Quick wins stop getting starved.
Leadership signals safety, Lab experiments, Crowd uses AI daily. The named fix for the 20% adoption ceiling.
Wrong pattern costs 3-6 months of rebuild. Drawn from Baxie's production system.
The biggest 2026 AI failure mode isn't technical. It's unmapped dependencies across agents, vendors, integrations. Most consultants skip it.
Reports into CEO, CTO, or COO. Sits in exec staff.
Three-Horizon roadmap. Budget defense. Vendor selection, build-vs-buy, eval standards. Quarterly kill list.
Architecture review on every build. Production code when leverage is high. Multi-model routing. Eval and observability bar.
Names the Leadership-Lab-Crowd structure. Hires and onboards AI talent. Trains the team across all three layers.
Board AI updates. Vendor consolidation across your AI tool stack. Hiring rubric for AI roles.
Month one stands up the portfolio. Month two onward, run.
Three-Horizon review. Audit current work, set the 90-day plan. Eval bar. Leadership-Lab-Crowd diagnostic.
Weekly exec sync. Daily Slack on high-leverage calls. Hands-on contribution to the highest-stakes builds. Lab and Crowd training in parallel.
What shipped, what stalled, what to redirect. Budget reallocation. Renewal.
The retainer is the bridge to a full-time hire.
A roadmap the CEO defends. Eval bar live. Kill list executed, vendor consolidation in motion. Adoption baseline measured.
AI spend flat or down, throughput up. H1 in production, H2 on schedule. A team that ships without consultants.
Folded in, not upsold.
Decision-flow map, AI-native role design, 90-day execution plan.
Mondays and Thursdays, 60 minutes. Strategy Monday, execution Thursday.
Slides, narrative, Q&A prep. Boardroom AI becomes a status update.
The layer your team and your AI both work from. Versioned, searchable. New hires ramp in days.
I hold ~4 active client commitments across Fractional, Scoped Build, and Audit. Mix depends on what's already booked. Engagements are picked, not sold.
A part-time senior AI leader who owns the AI transformation end-to-end: org redesign, production AI build, vendor selection, hiring, and team handoff. Sits in the exec staff, reports into CEO, CTO, or COO. The role bridges the gap between hiring an AI strategy consultant (deck only) and hiring a full-time Head of AI ($300-500k base plus 6-9 month ramp).
$12-20k per month, 6-month minimum engagement, then quarterly renewal. Scoped against company stage, AI surface area, and time commitment (1 to 3 days per week). Quoted in writing within 48 hours of the discovery call.
Operators and founders at mid-market service firms, $5M to $200M+ ARR, between needs-AI-leadership and ready-for-a-full-time-hire. CEOs, CTOs, COOs, and VPs of Ops carrying AI pressure without the headcount or runway to commit to a $300-500k base hire. Below $5M ARR, the scoped build is usually a better starting point.
Org redesign is the work. Month one stands up the portfolio (Three-Horizon allocation, eval bar, Leadership-Lab-Crowd diagnostic). Months two through five run the cadence and ship the H1 wins. Month six is the renewal call or the handoff to a full-time hire. Anything shorter is a workshop, not a transformation.
Three-Horizon portfolio review, audit of current AI work, 90-day plan in writing, eval bar set, Leadership-Lab-Crowd diagnostic (Mollick, Wharton 2025). The AI-Native Org Audit ($7-12k value) is folded into month one at no extra cost. End of month one, the CEO defends the roadmap, not me.
Strategy consultants ship decks and leave. Fractional Head of AI Transformation ships production AI, hires the team, runs the eval bar, and stays in the exec staff until the team can run without me. Director-altitude strategy plus hands-on production build, from one operator. Not advisor. Not contractor.
No. Two to three at a time. Every engagement specifies which days are yours.
I help you find, hire, and hand off. That's the goal.
Yes. Standard enterprise paperwork. Signed mid-market and enterprise MSAs before.
Both. Fits $5M to $200M+ ARR. Below $5M, a scoped build is usually better.
Per-hour looks cheaper until you price in the strategy layer they don't provide. Someone still has to allocate budget, defend spend, break the adoption ceiling. The retainer is both layers.
First call is 30 minutes. If the fit is there, kick off in two weeks.