We help large enterprises turn AI ambition into value that ships.

I've always been drawn to how I can create value with what had only just become possible. The new opportunity, the technology nobody had worked out yet, the thing that probably shouldn't work but might. That curiosity is the only reason I became a technologist rather than something sensible.

It took me to good places. I built automation platforms across the Middle East and Africa and Globally, led innovation and technology teams, helped set up an innovation lab inside a global ICT business, and built predictive AI models for the Tour de France. I enjoyed all of it.

Then I ran hackathons.

Three hundred innovators in one room, two days, and an atmosphere I still don't have a better word for than electric. What got me wasn't the technology. It was watching people walk straight past what their job description said they were allowed to do, because for one weekend the environment let them. The quiet ones turned out to be the people who knew exactly where the business was broken. They'd known for years. Nobody had asked.

A few years later we ran one virtually, across more than 25 countries and 40 cities, with teams working on the UN's sustainable development goals. Same pattern, much bigger room. Give people a real problem, proper support and genuine permission to act, and they do remarkable things. That part has never once let me down.

What let me down was the Monday.

I watched serious work get a standing ovation on Sunday and disappear by Wednesday. Not because it was weak. Because nobody could say what it was worth, who owned it, or whose budget it came out of. So it went into a queue behind everything that was already there, and the people who built it learned a lesson I'd rather they hadn't: nice weekend, nothing changes.

That's the whole reason Otinga exists.

We started in 2023 to build that environment on purpose, and to make sure what comes out of it gets funded instead of applauded. Your people aren't short of ideas. I've never once walked into an organisation that was short of ideas. What's missing is the route: from the person who knows exactly where the problem is, to the decision that approves fixing it. Most of our work is building that route, then making sure somebody actually walks it.

Which is also why we put a number on everything. An idea nobody can cost is an idea nobody can defend, and I've watched too many good ones die in a meeting for want of a figure on a page. Most AI programmes fail on arithmetic, not ambition.

To innovate is human. Doing it consistently, at enterprise scale, under real commercial pressure, takes intention.