Opportunity portfolio
Every candidate use case across your value chain, scored on payback, feasibility, and data reality — with the reasoning shown, not asserted.
Services · 01
Strategy you can hand to an engineering team.
Most AI strategies are decks that describe ambition. Ours is a build order: which use cases pay back, what they cost, what to buy versus build, and what to ignore — sequenced for funding and delivery.
The situation
Every large organization in the Gulf now has an AI mandate. Very few have a defensible answer to the only question that matters: what exactly do we build first, and why that? The gap between mandate and mechanism is where budgets evaporate — pilots multiply, vendors circle, and eighteen months later the board asks what shipped.
We close that gap with numbers. A strategy engagement with Kindi produces a scored portfolio of use cases — feasibility, payback, data readiness, regulatory exposure — and a sequence that front-loads compounding wins. Equally important: a kill list of the ideas that look impressive and will not survive contact with your data.
What we deliver
Costed 12–18 month roadmap
Build/buy/wait calls per use case, sequenced by dependency and compounding value, with budget envelopes your CFO can interrogate.
Reference architecture
A target-state platform design aligned to your cloud posture, data residency requirements, and existing systems of record.
Governance operating model
Risk tiers, human-in-the-loop rules, model approval gates, and audit requirements — mapped to PDPL, SDAIA guidance, and your sector regulator.
Executive alignment
Working sessions with the leadership team so the strategy survives its first budget cycle — and its first disagreement.
How the engagement runs
Week 1
Discover
Structured interviews across business, data, and technology leadership. Systems and data-landscape review. Ambition calibrated against reality.
Weeks 2–3
Assess
Use-case scoring workshops, technical feasibility spikes on your actual data, and cost modeling per candidate.
Week 4
Sequence
Roadmap construction, governance design, and an executive readout that ends in decisions — not a follow-up meeting.
How success is measured
- A funded first build within one quarter of the readout
- Every use case costed with an owner and a baseline metric
- Kill list adopted — no zombie pilots carrying into next year
- Governance gates in place before the first model call
Straight answers
The people who write the roadmap are the people who build against it. That changes what gets written — no capability we can’t implement, no estimate we wouldn’t accept as a budget.
Bring it. If it sequences into a build order, we’ll say so and save you the fee. Usually what exists is a vision statement — we turn it into an execution plan.
Yes. We routinely work under NDA inside broader programs, and the engagement is structured to plug into existing PMO and procurement processes.
Scope a ai strategy & roadmap engagement.
One paragraph on where you are, and we’ll come back with the shape of the engagement we’d run — scope, duration, and the number it should move.