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Advisory that ends in decisions, not decks.
Four engagement families for boards, CEOs and CIOs of asset-heavy and diversified organisations — in the GCC and globally. Every engagement is scoped to produce a decision, a number, or a working capability.
Available for selected board advisory, executive education, speaking and independent transformation engagements, subject to professional and conflict-of-interest requirements.
Fixed
Scope & duration, agreed upfront
Board
Read-outs written for directors
Operator
Led by a sitting Group CIO
GCC
Regulatory context built in
Board AI Readiness & Governance Sprint
For: boards and executive committees that need a credible, independent read of where the organisation actually stands on AI — before committing capital.
You get: current-state maturity across eight pillars (strategy, data, technology, people, culture, process, governance, ethics), material risks, priority use cases, governance requirements, an investment roadmap and a funded 90-day action plan.
Includes, where relevant: data-readiness diagnostic, AI governance & risk review mapped to NIST CSF, UAE PDPL and DIFC Regulation 10, shadow-AI exposure scan, non-human-identity review and workforce adoption assessment. Survey-driven, ~15 minutes per participant, quantitative scoring plus the free-text detail that explains the numbers.
Discuss a board sprintPilot-to-Production Recovery
For: organisations whose AI pilots demonstrated value but never scaled — stuck on data, integration, ownership, governance, change or operating-model problems. Most pilots stall on organisation, not technology.
You get: a structured path out of pilot purgatory — stakeholder alignment, infrastructure and platform decisions, human-oversight gates for high-risk use cases, and an incremental rollout plan tied to measurable P&L.
Includes: AI FinOps and cost-landscape modelling — token, inference, platform and run costs across the use-case portfolio, so spend is forecast and governed rather than discovered on the invoice.
Discuss a recovery engagementEnterprise AI & Technology Advisory
For: CEOs, boards, CIOs and transformation leaders who want a standing sparring partner who has run the same programmes at scale.
Typical shape: fractional advisory, steering-committee participation, architecture challenge, vendor and platform evaluation, programme assurance and M&A technology diligence.
Where I go deep: IT operating models and shared services (consolidated a 400-company group), and AI for asset-heavy and field operations — predictive maintenance, dispatch optimisation and dynamic pricing across mobility, logistics, energy and manufacturing.
Discuss a retainerExecutive Workshops & Adoption Programmes
For: leadership teams that need capability, not just awareness — and enterprises rolling out AI tooling to the whole workforce.
- Board AI briefing — half-day, closed door, no vendors in the room.
- Agentic AI governance workshop — centralised vs embedded vs hybrid agent models, with control gates.
- CIO strategy offsite — operating model, talent and the CIO's seat at the strategy table.
- Enterprise Copilot adoption programme — 8–16 weeks; drawn from deploying Microsoft 365 Copilot to 1,000+ users with 35–40% Level-1 ticket deflection.
Why me
Advice from someone still accountable for a P&L.
Everything above is drawn from live delivery — 286 AI use cases across nine business lines, a 400-company shared-services consolidation, Expo 2020 at 100% SLA, and Copilot at enterprise scale. The case studies carry the detail.