Mon – Tue
Embedded with your team
Standups, pairing sessions, system maintenance. Hands-on with the infrastructure and the people who depend on it.
Fractional AI Leadership
Intelligence infrastructure compounds when someone owns it.
An ongoing retainer where I act as your part-time Head of AI, 1–2 days a week. I maintain and evolve the context system and agent coordination, close feedback loops, and adapt the infrastructure as your org changes.
01
What this is
After a Context Build or Orchestration Build, the infrastructure is live. The question is who owns it. Without ownership, systems drift: agents lose calibration, context goes stale, the infrastructure stops reflecting how the team actually works.
1–2 days a week, I'm embedded enough to catch drift before it compounds. I'm not managing your engineers or running your AI strategy meetings. I'm maintaining running systems and building the next layer when the org is ready for it.
This is not a starter engagement. The system needs to exist before it can be owned. If you're earlier in the journey, start with the AI Scan or Context Build.
02
What I do
Maintain and evolve the context system
As your org changes (new teams, new workflows, new tooling), the context system needs to keep up. I update the world model and make sure AI interactions stay grounded in how the team actually works.
Tune agent coordination
Close feedback loops, improve quality gate accuracy, fix routing logic. The system gets smarter over time instead of slowly drifting from what it was designed to do.
Identify the next layer to build
As the infrastructure matures, there are always new systems worth building. I track what your team is still doing manually that intelligence infrastructure could replace, and scope the next engagement when the org is ready.
Act as your internal AI expert
I can advise your team, review AI system design decisions, and help your engineers understand and own what we built together. The goal is always a team that doesn't need me. I'm there to keep the compounding going while that capability builds.
What a typical week looks like
Wed – Fri
Async & strategic
Monitoring, feedback loop review, planning next iteration. Identifying what your team is still doing manually that infrastructure could replace.
03
Who this is for
Teams that have completed a Context Build or Orchestration Build (or equivalent infrastructure in place), and want the system to keep getting smarter as the org changes.
If you're still figuring out your AI tooling or haven't built a context system yet, this isn't the right entry point. Start with the AI Scan.
04
Investment
Commitment 1–2 days/week
Typical duration 6+ months
Pricing Monthly retainer, discussed on call
Rate depends on scope and what infrastructure is already in place.
05
Common questions
What is a fractional AI lead?
A fractional AI lead is a part-time, embedded leadership role, typically 1 to 2 days a week, responsible for owning the AI infrastructure, the context system, and the agent coordination layer that the organization depends on. Less than a full-time hire. More than a contractor. The job is making the system compound, not running tasks.
What is outsourced AI leadership?
Outsourced AI leadership is the same role as a full-time Head of AI delivered on a fractional retainer. The advantage: you don't have to find, hire, retain, or upskill someone in a market where that talent is scarce and expensive. The trade-off: you don't own the role internally yet. The fractional model is most useful as a bridge while in-house capability builds.
When should I hire an AI consultant or fractional AI lead?
Hire a fractional lead when you have AI infrastructure already running and you need someone to own it. Hire an AI consultant (audit-style) when you are still figuring out which tools fit and which workflows to install them into. The two roles are sequenced, not interchangeable: consultant first, installation second, fractional ownership third.
Who is a part-time Head of AI for?
Engineering and operations organizations of 50 to 500 people that have completed a Context Build or equivalent infrastructure investment, and now need someone to maintain and evolve it. Smaller teams without that infrastructure should start with the AI Scan or Context Build first.
How is this different from a contractor?
I own the intelligence infrastructure as a system, not just execute tasks. A contractor builds what you spec. I identify what needs building, build it, and make sure it compounds over time.
What's the minimum commitment?
3 months recommended to see compounding effects. Month-to-month after that. The infrastructure needs time to prove itself before you can evaluate whether ongoing ownership is worth it.
Can this evolve into a full-time hire?
If your org grows to need a full-time Head of AI, I'll help you hire one and transition. The goal is always a team that doesn't need me. The fractional model buys you time while the capability builds internally.