Otman
For more than 16 years I have worked across businesses in different roles, but the same instinct kept showing up: find where a system quietly breaks, and fix the decision, not the symptom.
Most of my work is not glamorous, and it is underrated. I like it that way. I sit with how a company really works, not how its org chart says it operates. I find the bottlenecks people stopped noticing years ago, then I build the smallest change that moves the needle. With recent clients that took task automation from 15 percent to 45 percent, not by buying more tools, but by removing friction nobody had questioned.
I was building conversational systems years before 30 November 2022, the day ChatGPT made them a topic at every dinner table. In Barcelona, surrounded by builders and meetups, I prototyped them for the travel industry and wired automations out of nodes, rules, and probabilities. It felt less like magic and more like engineering small decision systems, one careful step at a time.
Then the ground moved. AI compressed my work as a product manager so hard that a 2 week sprint could collapse into a 2 day build. The job did not disappear. Its shape changed. And once that happens, titles matter less than the judgment, the context, and the responsibility behind them.
What I do now
I stopped optimizing for speed and started optimizing for the call that cannot be undone. The work is helping leaders draw the line between what a human must own, what an agent can assist with, and what automation can quietly carry, then writing it down in a way they can defend in a board meeting.
What makes me different is that I refuse to leave a roadmap only I can run. I have trained many professionals to design their own agents and workflows, because adoption that depends on the consultant is not adoption, it is dependency. I would rather make myself unnecessary and leave the team stronger.
I have delivered that work to more than 700 professionals, mainly in English, French, and Spanish, and when needed in Dutch and العربية, across the EMEA region and the United States.
What I love and what makes me special are the same thing
I help people stop fearing technology, see their own work clearly, and walk away able to keep going without me. I live in the messy seam where technical reality meets business pressure. That is usually where AI projects quietly die, in the gap between what engineers build and what leadership actually needs. Living in that gap is the whole job for me.
Where consequence is high, a named human stays responsible. That is the whole practice, and the reason any of it is worth doing.