Founder & Programme Lead — Cooriroo
RTA — Roads & Transport Authority, Dubai
AI-driven Field Service Management from dispatch to closure — production-deployed at the Roads & Transport Authority.
Expertise
AI that earns its keep, not just its budget.
Pilot fatigue is real. Eighty percent of AI proof-of-concepts die before production. The ones that survive look different from week one — and that is the work I do.
Every enterprise board is now pushing for AI. Every CIO has a pilot, or three, or seven. Very few of those pilots ever ship to production, generate measurable value, or repay the cost of running them. The gap between AI experimentation and AI in production is not a technology gap — it is a strategy gap, a governance gap, and an honesty gap about what AI is actually for. I close all three.
Where I focus
Use case selection, governance, and the bits in between.
Use case discovery and prioritisation — not every problem deserves AI. The ones that do are usually unglamorous: forecasting, anomaly detection, document understanding, decision support. The ones executives ask for first are usually the ones that will not return investment. I will separate the two for you, in writing, with numbers.
Agentic and low-code / no-code automation — agents are powerful when they have a clear job, a defined boundary, and a way to escalate. They are dangerous when they don't. I design the operating envelope first and let the technology fill it, not the other way around.
Responsible AI governance — before legal asks. Model risk, data lineage, audit trails, bias controls, escalation paths. The governance is what gets the AI to production; without it the lawyers will stop it at the door.
Engagements
Real AI delivery in real production.
- 2025 – 2026
- Ongoing
Founder
Argus-AI — devtech.pro
Real-time fire and smoke detection on existing CCTV footage; production deployments across multiple buildings.
More expertise areas