Most AI initiatives fail on strategy, data, governance and ownership — not models. We give your leadership a scored AI posture, a costed roadmap, and — optionally — a fractional AI officer to own the whole agenda.
The evidence is now unambiguous: around 95% of enterprise GenAI pilots never reach P&L impact, and 42% of firms have already walked away from most of their AI work. The failure pattern is consistent — no baseline, no prioritisation, no governance, no owner.
You are being asked to "do AI" with no readiness baseline, no prioritised use-case list, no governance, and no single owner. That is exactly the profile of the 95% of pilots that never reach measurable P&L impact — and of the 42% of firms that abandon the effort.
Wasted pilots, stalled momentum, and a board that quietly loses confidence in AI spend — the most expensive outcome of all.
A representative planning scenario for a GCC mid-market organisation, built from the industry benchmarks cited below.
How to read this: the product study is a small fixed fee that reshapes a much larger AI budget — steering it toward the 5% of work that captures the value and away from the pilots that were going to stall anyway.
A deliberate sequence that proves value early and de-risks each step.
Interviews, data and systems review, current state and ambition-to-baseline.
Readiness scoring across five dimensions; costed, prioritised 90/180/360-day roadmap.
Stand up the first one or two use cases with governance and an owner in place.
Optional fractional AI officer runs the agenda; quarterly value review to the board.
Advice is vendor-neutral, so recommendations serve your outcomes rather than a reseller quota. The roadmap is sequenced to prove value early and governs from the first use case — directly addressing the reasons the 95% fail.
No reseller quota shaping the advice — the roadmap serves your outcomes.
The roadmap is sequenced so a real use case pays back inside a quarter, not a year.
Governance is built into the first use case, not retro-fitted after legal objects.
With 42% of firms already retreating from AI and 95% of pilots stalling, the cheapest possible insurance is buying direction before you buy tools. It stops you joining the statistic.
“Know exactly where you stand, where to go, and have someone senior own it — without hiring a Chief AI Officer.”
Rarely to start. A fractional AI officer gives you senior ownership from around AED 25–40k/month — a fraction of a full-time Chief AI Officer’s cost and commitment.
It is vendor-neutral. There is no product we need you to buy at the end, so the roadmap reflects your outcomes rather than someone’s sales target.
The scored posture and costed roadmap land in about two weeks. The first governed use case is typically running within a further four to eight.
Field-tested perspectives and practical guidance for this capability.
ChecklistA twenty-point readiness checklist across strategy, data, systems, governance and skills — score where you stand before you spend.
Case Study TrendingA case study of deploying enterprise AI copilots in a regulated Gulf financial institution — covering on-prem inference, evaluation and the operating model.
GuideA costed, sequenced plan to move from posture assessment to a live first use case inside 90 days — without stalling in committee.
ResearchThe majority of enterprise AI initiatives fail at the strategy and readiness layer, not the model. Here is the pattern, and how to break it.
Thought LeadershipWhy mid-market enterprises are engaging a part-time Chief AI Officer to own strategy, governance and vendor management at a fraction of the cost.
