About
I help organizations turn AI experimentation into operating capability.
Applied AI Track Head at Egypt's Digital Egypt Builders Initiative, a national programme developing advanced digital capability. I bring the same programs to enterprises across Egypt and the Gulf.
Background
How I got here
I've spent [NUMBER] years teaching people to work with technology they didn't ask for and don't yet trust. Most of that work has been in environments where being wrong has consequences — banking, government, engineering — which shapes how I think about AI adoption.
I write and teach in Arabic to an audience of more than 70,000 across the region, and I hold graduate-level AI instruction credentials. I've designed and delivered capability programs for teams in financial services, public sector organizations, engineering consultancies, and telecommunications.
My work is built on proprietary instructional frameworks developed across those engagements — methods for decomposing complex tasks, structuring human oversight, and building judgment rather than tool familiarity.
Method
Friction-Enhanced AI
Most AI adoption fails in the same way. Teams either don't use the tools, or use them without judgment. Both produce the same outcome: no durable capability, and quiet risk accumulating somewhere nobody is looking.
My approach builds deliberate human checkpoints into AI workflows. Not friction for its own sake, but placed where verification actually matters — where errors compound, where accountability sits, where the cost of being confidently wrong is highest.
This runs against the instinct to remove every obstacle between a person and an output. That instinct is why so many AI deployments produce speed without reliability. The organizations that scale AI successfully are the ones that decided, deliberately, where a human still has to look.
Principles
How I work
Capability, not dependency
The measure of a successful engagement is that your teams don't need me afterward.
Your work, not case studies
Participants work on their own documents and decisions. Generic material produces generic results.
Judgment over tools
Tools change every quarter. Knowing when to trust output, and when not to, doesn't.
Clients
Organizations I've worked with
Programs delivered for teams across financial services, government, engineering, and telecommunications in Egypt and the Gulf.
Next step
Start with a conversation
If you're responsible for AI capability in your organization and want to discuss what's actually possible, get in touch.