AI products that
move the business.
Owning AI and internal-platform products at PetroApp after nearly four years building at Taager—across autonomous agents, operational systems, and executive automation.
Operator context.
Product discipline.
I started inside warehouse, logistics, and CX workflows before moving into product. Today I apply that operating context to AI agents, fueltech platforms, executive automation, and measurable business outcomes.
Every product has
a number attached.
These are post-launch outcomes from products owned end to end—from diagnosis and strategy to rollout and iteration.
CVR lift from an AI WhatsApp storefront.
Cheaper address acquisition per order.
Same-day warehouse shipout improvement.
Products moved from ambiguity to production.
Four bets.
Four changed systems.
Each case study shows the uncomfortable middle: constraints, product decisions, experiment design, launch mechanics, and measured results.
From messy workflow
to trusted autonomy.
A practical system for building AI products: grounded context, bounded action, observable decisions, and economics that survive production.
Find the expensive truth
Map the workflow, pull the data, and isolate the failure pattern before proposing AI.
90 days from signal
to scalable value.
A roadmap is a sequence of de-risking decisions—not a feature calendar. Click each phase to inspect the product logic.
A ranked opportunity map and one measurable AI bet.
- Shadow the operation
- Model unit economics
- Define the eval set
“AI is infrastructure, not a feature. Start with the workflow that should exist if intelligence were native from day one.”
Start with business pain
The first artifact is an economic model, not a prompt.
Design the whole system
Model, data, workflow, humans, and incentives are one product.
Instrument the outcome
Quality metrics and business metrics must move together.
Ship to learn
Shadow, stage, observe, then expand the autonomy boundary.
Let’s build a system
that compounds.
Open to AI product leadership, consulting, and ambitious conversations about automation in MENA.