Most companies investing in AI are not getting the return they expected. The tools are there. The licenses are paid for. And the results still aren't coming. Yohann Doillon has a clear explanation for why, and it comes down to one missing layer: context.

In this episode of The Habit Architect, Michael Cupps sits down with Yohann Doillon, co-founder and deployment strategist at 10x Partners, to talk about what it actually takes to bring AI into production at the business level. Yohann comes from the Palantir ecosystem and has spent five-plus years building ontology-based data foundations for companies ranging from Fortune 500 firms to growth-stage scale-ups. He and his partners are senior-only engineers, by design. Their work is translating how a business actually operates into a digital structure that agents and AI systems can understand and act on.

The conversation covers the three pillars 10x uses to assess AI readiness: internal operations, product strategy, and competitive risk. Yohann walks through what data readiness actually looks like versus what companies say when asked about it, why buying 10,000 Copilot licenses is not an AI strategy, and what an ontology is in plain language, not the jargon version. Michael ties it back to his own years in the RPA and BPM world, and together they work through a live insurance industry example where 14 disconnected systems are being brought into one coherent picture so that real decisions can get made.

They also get into the question of whether a nine-month consulting engagement is the only way to assess your AI readiness (it isn't), what it means for a company to have a "living" AI assessment rather than a snapshot, and the personal second-brain system Yohann has built that his own partners are tired of hearing about.

The Habit Architect is sponsored by Enterprise Diagnostics and Time Bandit

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