AI that ships,not slideware.
I help B2B tech teams, small companies and marketing agencies get AI into production. I do the strategy, then I build the thing myself.
15 years across Google, TikTok and SD Worx. The strategy and the code, same person.
Everyone has an AI strategy. Almost nobody has it running in production. That gap is my job: I write the plan, then I write the code.
88% of AI pilots never reach production. That gap is where I work.
Most teams don't have a strategy problem. They have a shipping problem.
Your board wants an AI strategy
And you need more than a slide deck to answer them. You need a plan tied to your real data and stack, with a clear 90-day path to value.
Your team is drowning in POCs
Demos that land in a meeting and then quietly die. Nothing reaches real users, and no business number moves.
Consultants hand you a deck and vanish
You paid for strategy and got a PowerPoint. Nobody stayed to build it, wire up the vendors, or own the risk.
Compliance and data risk stall everything
Privacy, governance, and the classic “where does the data actually go”. That freezes projects before they start, especially with sensitive data.
Assess → Build → Lead
Three steps. Each one earns the next. You start with low risk and end with something running in production.
AI Readiness Sprint
I audit your data and stack, prioritize 8 to 12 use cases by impact and effort, and hand you a 90-day roadmap with the quick wins and a one-pager for the board.
- Data and stack audit
- Prioritized use cases
- 90-day roadmap
- Board-ready one-pager
Implementation Sprint
The first use case from the roadmap, live in production. Not a demo. Wired to your systems and measured against a real business metric.
- First use case live
- Real business metrics
- Your stack, your data
- Handover and docs
Fractional AI CTO / CAIO
Ongoing strategy, AI governance (privacy and compliance), a living roadmap, team training and vendor selection. This is the recurring engine.
- Living roadmap
- AI governance
- I train your team
- I oversee build and vendors
You talk to the person who builds it.
I'm not an agency and I'm not a slide factory. I'm an ex-CTO who has shipped AI to production. I do the strategy and I write the code, so the roadmap I hand you is one I can actually build. That's the difference between advice you file away and a system your users touch.
Strategy and build, one person
No gap between the plan and the people who execute it.
Production, not proofs of concept
Everything gets measured against a business metric, not the applause at a demo.
Governance from day one
Privacy, data residency and compliance get designed in early, not bolted on at the end.
Where I learned to ship at scale
Results, with numbers.
A few representative ones. Names if you ask.
WhatsApp and email support automated with an AI receptionist and a human in the loop.
A financial email archive classified and turned into a knowledge base you can actually query.
From the readiness sprint to a production feature with measured impact.
Worked with & built for
Client work and ventures, across Spain, the EU and the US.
Listen, analyze, build, stay on
Listen
I learn your business, your data and where the real pain is before I propose anything.
Analyze
I map the use cases by impact and effort, and pressure-test them against your stack and constraints.
Build
I ship the highest-leverage use case to production, wired to a real metric.
Stay on
I stay as your fractional lead so it keeps compounding: roadmap, governance and training.
What people ask before the first call
A fractional AI CTO is a senior technical leader who owns your AI strategy and execution part-time, usually one or two days a week. You get CTO-level judgment on strategy, governance, vendor selection and hands-on build, without paying for a full-time hire. It fits teams that need AI in production but don't yet need (or can't yet justify) a full-time executive.
See where your AI actually stands.
An instant readiness score and your top 3 prioritized use cases in three minutes. No deck, and no sales call required.