As the product grows, the team takes longer and longer to ship new features.
I feel our company isn't making the most of AI's potential.
The product's quality isn't what I expect.
We know we need metrics, but we don't have the time to produce them.
I have a list of improvement initiatives to launch, but no time to lead them.
My team needs training to learn to use AI with good judgement.
If you recognize yourself in any of these situations, keep reading to see how I work and help companies facing similar challenges.
I analyse how your team builds software (process, tools, delivery) to understand the bottlenecks and identify improvement opportunities. Deliverable: an executive report, a prioritised 90-day roadmap and a presentation session with your leadership team.
I guide and support the team (from the inside) in executing the roadmap iteratively, training the team, making changes to the processes and measuring results. Outcome: a delivery system in continuous improvement.
I support the CTO or the CEO on an ongoing basis, with strategy, launch and follow-up of new improvement and AI adoption initiatives.
Problem: they had rolled out Cursor and other AI tool licences, but only a few people on the team were using them.
Result
2.5× increase in AI usage across the team in four months.
Problem: at the beginning of 2025, AI adoption on the team was at 0%.
Result
90% of the engineers have adopted AI as a basic tool in their day-to-day work.
Problem: a consultancy had won a contract to modernise the metadata processing system of a major telco in Spain. The project was cloud-based, but their team had no cloud experience.
Result
Platform in production serving a major telco. Team 100% autonomous for its evolution, maintenance and operations.
I have spent 18 years building software and 10 leading teams, the last 3 as a fractional CTO for companies such as Logalty. I have worked at companies like Amadeus and Dive.tech, and built projects for Vodafone, Orange and LaLiga.
I have led team transformations: from on-prem to the cloud, from waterfall to agile and, now, in AI adoption. I see teams as a system combining people, processes, methodologies and tools. Transformations do not happen overnight: they need committed leaders, support and training for the people, time to experiment, and metrics that provide an objective view.
I am hands-on: I like to get into the weeds and understand problems in detail, because that is what enables better decisions by anticipating their impact. I also build and maintain open source projects such as EmailOps, an AI email client that runs 100% locally.
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AI email client, 100% local.
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30 minutes, no strings attached. You leave with at least one actionable idea, whether we work together or not.
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