I take the mandate for your AI innovation agenda, from spotting the opportunity to running it in production, and I lead the agentic AI engineer who builds it. Two days a week, on a monthly retainer.
Some companies call this role a fractional AI advisor. The difference is accountability: I am measured on what reaches production and what it earns, not on the advice.
Advisory alone stalls at your existing engineering roadmap. So when the work justifies it, I bring an agentic AI engineer onto the team for the duration of the engagement: someone I have hired, whose standards I set and whose work I review.
It is deliberately temporary. The goal is production systems your own team can carry once we are done, not a dependency on me.
Executive-level AI strategy combined with hands-on leadership of delivery. Seven things, every month.
A practical AI strategy tied to your business priorities, plus an opportunity backlog prioritized by expected impact, effort, risk and strategic value.
A focused portfolio of initiatives led from discovery and business case through prototype, production deployment and adoption.
I lead and mentor the agentic AI engineer, and set the standards: context and harness engineering, security, testing, CI/CD, observability, production readiness.
Decisions on models, platforms, cloud architecture, data access, vendors and build-vs-buy, biased toward reusable components over isolated experiments.
Pragmatic guardrails for data access, privacy, model usage, human oversight and production deployment, including how a vibe-coded app is allowed to reach production.
Working with business owners to redesign processes around AI, drive adoption of what we ship, and transfer know-how so the capability outlives the engagement.
A concise monthly view of the AI portfolio: what is being built, expected and realised impact, adoption, blockers, risks, spend and the next bets.
Approximately 2 days per week, scheduled in advance
Direct collaboration with the CEO and leadership team
Weekly delivery session with the AI engineer and business owners
On delivered business outcomes rather than hours worked. Depending on the portfolio, that means:
€3,000 – €10,000
per month + VAT
The retainer buys ownership of the AI agenda and agreed capacity, not a bundle of freelance day rates. Large implementation scopes, third-party software and cloud costs, and additional engineering capacity are budgeted separately.
Book a callThe fractional AI lead is accountable for strategy, prioritization, technical direction and delivery leadership. The role does not imply personally coding every solution, providing unlimited availability, or guaranteeing a predetermined financial return.
Material changes in scope or capacity are agreed separately. If the ambition is bigger than a retainer, the AI-Native Transformation Program is the right shape; if it is smaller, take ad-hoc consulting hours instead.
Owns the company AI agenda without being a full-time hire: AI strategy and roadmap, a prioritized opportunity backlog, delivery leadership over the AI projects, architecture and vendor decisions, governance and risk, adoption inside the business, and a monthly report to leadership on realized impact and spend.
An advisor recommends. A lead is accountable for the outcome: the backlog, the priorities, the technical direction, the delivery, and the report at the end of the month. I also bring an agentic AI engineer onto the team, so the work gets built rather than queued behind your existing roadmap.
€3,000–€10,000 per month + VAT, depending on capacity and scope. The lower end is one day a week of leadership; the upper end is two days a week with a dedicated agentic AI engineer alongside. Large implementation scopes, third-party software and cloud costs, and additional engineering capacity are budgeted separately.
Where it matters, yes: prototypes, difficult integrations, reviews. But the role is not to be your only builder. The retainer buys ownership of the AI agenda and agreed capacity, not a bundle of freelance day rates, and the agentic AI engineer carries most of the implementation.
The role does not imply personally coding every solution, unlimited availability, or a guaranteed financial return. Material changes in scope or capacity are agreed separately.
Three months minimum, because nothing meaningful reaches production faster than that. Most engagements run six to twelve months, and several started as a single ad-hoc consulting block.
Book a 30-minute call to talk through where AI can move the needle in your business.
Book a call