01
Production-first
Every artifact — architecture, pilot, eval — is built to survive operations, not to impress a steering committee.
Approach
A method with one KPI: what still runs after we leave.
Four phases from first meeting to full handover. Measured at every step, governed from day one, and engineered so dependency on us goes down — not up.
01 · Weeks 1–3
Diagnose
We embed with your teams and map where AI actually compounds: data reality, workflow friction, regulatory boundaries. No workshops-for-workshops — we interview, instrument, and measure.
You get: Costed roadmap · use cases ranked by payback · kill list
02 · Weeks 4–12
Prove
One use case, real data, production-grade from the first commit. Baselines are agreed before we build, so success is a measurement, not a demo-day feeling.
You get: Working pilot on your infrastructure · eval results vs. baseline
03 · Months 3–6
Industrialize
The pilot becomes a platform: security review, guardrails, observability, cost controls, integration with systems of record — the unglamorous 70% that decides whether AI survives contact with operations.
You get: Governed platform · runbooks · audit-ready controls
04 · Ongoing
Transfer
Your engineers ship the next use case with our playbooks while we review. We report our own redundancy as a KPI — the trace that stays is capability, not invoices.
You get: Trained team · playbooks · declining dependency, by design
Principles — How we behave in your building
Six rules we don’t negotiate.
02
Evals before opinions
We agree on baselines and metrics before writing code. If the number didn’t move, the project didn’t work.
03
Security is the floor
Data residency, PDPL, least-privilege access, and audit trails are in the first diagram — never a phase-two promise.
04
Your team in the room
Every workstream pairs our engineers with yours. Knowledge that leaves when we do is a failed deliverable.
05
Honesty about AI
Some problems need a rules engine, not a model. We say so — it’s cheaper for you and better for our trace record.
06
Arabic is not an edge case
Evaluation in Arabic ships with every release. A system your people can’t use in their language isn’t finished.
Engagement models — Three ways in
Start small, scale on evidence.
Readiness Sprint
2–3 weeks · fixed fee
The Diagnose phase as a standalone: opportunity scan, costed roadmap, kill list. The cheapest way to find out what’s real.
Build Engagement
3–6 months · milestone-based
A full Prove-and-Industrialize cycle on one or more use cases, priced against agreed milestones — not hours burned.
Embedded Partner
Retainer · quarterly review
Ongoing architecture authority, model and vendor review, and eval oversight as your internal team scales its own delivery.
Start with the sprint.
Three weeks, fixed fee, and you’ll know exactly what AI is worth to your organization — with the numbers to defend it.