Becoming AI-native is a hard choice,
not a tool purchase.

The real questions

Your team uses Cursor. Your engineers prompt Claude. You've seen the demos.

Those are the hard questions. Not adopting AI tools, but rethinking your product, your roadmap, and your value proposition in a world that's moving faster than your planning cycle.

Most companies skip this. They layer AI onto existing products and call it transformation. That works until it doesn't — and usually it shows up first in your retention numbers.

How I work

I work with leadership teams at software and product companies to make the shift from AI-curious to AI-native. Not with a strategy deck. With a structured process and hands-on work.

• 01
  Diagnostic An honest look at where you actually stand — which parts of your product are at risk, which have leverage, and where your team's assumptions are wrong.
• 02
  Strategy built on hard choices A clear point of view on what to build next. Not a list of opportunities — a prioritised bet, with the reasoning behind it.
• 03
  Hands-on execution I work directly with your product and engineering teams. The change has to become real, not just credible on a slide.

Background

I'm Jerome Mercader. I spent twelve years building and scaling an AI-powered product in the ESG and regulatory intelligence space — first as CTO, then leading its innovation practice. I've seen what it takes to actually ship products that use AI as a core capability, not a feature.

I now advise software and product companies as an independent practice focused on the intersection of AI, product strategy, and the hard organisational work that makes transformation real.