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The practice

Small practice,
sized to the work.

Javier Masides is the senior practitioner, with a network of trusted partners for delivery capacity. Engagements are sized to the work, not to fill seats.

Madrid · ES / EN native · IT / FR business-fluent
The founder

Fifteen years of watching enterprise tech land. Or fail to.

I started as a developer, moved into project management, and then spent fifteen years in solutions engineering. Global teams, presales methodologies, the full lifecycle of selling and delivering enterprise software across EMEA and LATAM.

AI has been central to my work since 2022. It's how I built a global Solutions Engineering function from zero at a PE-backed enterprise SaaS, and it's why I was given the mandate for the company-wide AI transformation strategy. I turned that into a dedicated Agentic AI function, built from scratch with full P&L ownership, shipping production systems across GTM and back-office operations. Threading the needle between speed, cost, security and adoption every single day.

What I learned in that seat is the foundation of Worklabs.

From the seat

Five things you learn when you’re the one paying for the work.

  1. AI demos and AI in production are different sports.

    The skills that get you to a working demo are not the skills that get you to a system the team adopts. The distance between those two things is where most AI budgets get stuck.

  2. The CFO doesn’t care about model accuracy. The CFO cares about adoption.

    Adoption metrics matter more than F1 scores. Once you’ve had to explain why a six-figure investment is sitting idle, you stop treating adoption as a phase 2 problem.

  3. Shipping changes the advice you give.

    Deploying production systems at scale teaches you things that strategy alone can’t. You learn where the real friction lives, which edge cases actually matter, and why the last mile of adoption is the hardest part.

  4. Governance is not the enemy of speed.

    It’s the only way to ship in regulated environments without becoming the next compliance headline. PE-backed environments teach you this. Move quickly through the gates, not around them.

  5. The last 20% is where AI projects die.

    Not the model. Not the infrastructure. The handoff between “working pilot” and “team adopts the new workflow as the only workflow.” Worklabs stays through that gap. It’s where the ROI lives.

Credentials, briefly

What’s on the CV.

Honesty

What I’m not.

Most consultant bio pages list only strengths. Here are the honest limits.

Now let’s see
if we’re a fit.

30 minutes. No deck. We talk about your actual situation. If we can help, we’ll scope it. If we can’t, we’ll say so and point you at someone who can.