AI strategy,
built on evidence.
More than training, it's support: so your team can get up to speed on AI and use it realistically as a competitive edge.
Strategy, products, and leadership, built on evidence.
More than 10 years hands-on with AI. ForgeLab helps companies get real value from AI and bring it into product, at whatever level is needed: training, strategy, prototyping, or leadership.
AI training, applied to the business.
ForgeLab sets up the AI infrastructure inside the company on Claude and prepares the team to sustain it. Two coordinated formats: for executives, a class to understand how AI actually works and joint design of the infrastructure that carries the company's knowledge and communication; for operators, identification of the real needs of each role and build out of the automations on Cowork hand in hand with ForgeLab. Configuration delivered, team trained to use it, and ongoing support from ForgeLab to update it as the team's needs evolve.
AI strategy.
ForgeLab helps leadership teams decide where AI creates real business value. Market analysis, structured user research, and technical feasibility combined to surface the opportunities worth pursuing, and rule out the ones that are not. Scoped to the decision at hand, not to a calendar.
Prototypes, MVPs, and internal tools, guided.
When the strategy justifies shipping, ForgeLab guides the build alongside the client's team. It brings the method, the tooling, and senior judgement on every material decision. The client's team writes the software and owns it afterwards, so what ships does not depend on ForgeLab to keep running. A first working version can be in users' hands in a week when scope allows.
Fractional Chief AI Officer.
When a company has decided AI is strategic but does not yet have a senior operator to carry it, ForgeLab steps in as Fractional CAIO through the critical phase. It sets the AI direction, builds the portfolio of initiatives, decides what gets prototyped and what gets killed, governs risk and data, and grows the team's judgement so the direction can be held without external input. Engagements run for months, ending when the permanent hire is in place or the transformation is consolidated.
10+ years developing AI and digital products.
Innovation only matters if it delivers value, and it only delivers value if it is profitable. Anything else is an expensive experiment. After more than 15 years building products across very different industries, I am convinced of one thing: the right solution comes from understanding the problem firsthand, not from theorizing about it.
I studied Industrial Engineering specialized in mechanics at UPC, and finished my degree at RWTH Aachen. I started my career in mechanical engineering, ran a manufacturing plant as Plant Director, and over the last decade moved fully into AI and digital products, most recently as Head of AI before founding ForgeLab. My work has been recognized in business case competitions at GMV, Siemens, Agbar, and Ideas Making Point.
ForgeLab runs lean, and that is by design. I run every engagement directly, training, strategy, prototyping, and leadership, so the thinking and the doing never lose context. When a project calls for specific expertise, I bring in trusted collaborators I have worked with for years. What matters most is that the project turns out right. If I am not the right person for it, we will talk about it before we start.
Common questions.
Short, direct answers on how ForgeLab works, who it is for, and what you actually get at the end of an engagement.
What does ForgeLab Digital Products do?
ForgeLab is an evidence-driven product studio. It helps companies get real value from AI and bring it into product, at whatever level is needed: sets up AI infrastructure inside the company on Claude and trains the team to sustain it, sets strategy when the direction is still being decided, builds working prototypes once that direction is validated, and leads product when it has to be carried through. Every engagement starts with understanding the problem; code only follows when the evidence justifies it.
Why ForgeLab?
Because most digital initiatives fail on assumptions, not execution. ForgeLab runs training, strategy, prototyping, and product leadership end-to-end with a single senior operator, so nothing is lost in handoff, no juniors are staffed on the client, and there is no incentive to stretch a project. Every material decision is grounded in user research, market signal, or behavioral data, not seniority in the room.
How is a ForgeLab engagement different from a traditional consultancy?
A traditional consultancy delivers a deck; ForgeLab delivers either a validated decision, deployed software, or a team able to make its own AI decisions. The same person runs the research, writes the strategy, and ships the prototype, so nothing is lost in handoff. Scope is priced against the problem, not billable hours, and if there is no fit, ForgeLab will say so before the engagement starts.
How long does an engagement take?
It depends on the mission. A training engagement runs as an initial class to understand AI, followed by joint setup of the infrastructure and automations the team needs, and ongoing support from ForgeLab to update them as the team's needs evolve. A strategy engagement ends when the direction is validated: what to build, what to defer, what to discard. A build engagement ends when working software is in real users' hands and the client's team owns it. A Fractional CAIO engagement ends when the permanent hire is in place or the AI transformation is consolidated. Duration is a consequence of the problem, not a product ForgeLab sells.
What kinds of companies is ForgeLab a fit for?
Training engagements fit leadership teams that want to set up AI infrastructure on Claude — designed and configured together with ForgeLab — to carry the company's communication, and operating teams that need to surface their own needs and build real automations on Cowork hand in hand with ForgeLab. Strategy engagements fit executives, boards, and innovation teams deciding where to apply AI. Build engagements fit funded startups and product teams that need a senior operator guiding the build while their own people execute and own the result. Fractional CAIO engagements fit scaleups and mid market companies where AI has been declared strategic but no senior operator is yet in place to carry it. ForgeLab is not a fit for pure staff augmentation, long term delivery outsourcing, or projects scoped as a fixed spec.
What do you mean by "evidence-driven"?
Evidence-driven means every material decision is backed by user research, market signal, or behavioral data from a live product, not by opinion or seniority. Strategy recommendations are tested against interviews and feasibility analysis; prototypes are measured by how real users actually behave, not by internal reviews; training is measured by the infrastructure left running and the decisions the team is able to make at the end, not by classroom hours. Decks and mockups are inputs, never the deliverable.
How do we start?
Engagements start with a 30-minute call to understand the business problem. If there is a fit, a scoped proposal follows within a few days: clear mission, clear deliverables, clear price. Duration is set by the problem. If ForgeLab is not the right fit, you will hear that directly on the first call. Use the contact link on the homepage to book the conversation.
Let's start!
In a 30-minute call I can understand your case and walk you through your potential to improve with AI.