OUTCOME · GOVERN
Adopt AI you can put in front of your board, your regulator, and your auditor.
Agentic AI is moving from strategy to operation across the UAE — government first, Dubai's private sector next. Govern is how you deploy it as a governed capability: a funded portfolio, production agents with approval gates and audit trails, and an operating model that proves control. Not a drawer full of pilots nobody signed off on.
THE GOVERNANCE GAP
AI programmes rarely fail on capability. They fail on accountability.
The board doesn't ask whether the agent works. It asks who approved it, what it's allowed to do, what happens when it acts wrongly, and where the evidence is. Most AI initiatives can't answer — because governance was treated as paperwork to add later, not a design input. Govern flips that:
- Decide — which use cases are worth funding, which to kill, and who owns each. A scored, funded portfolio your CFO can defend.
- Build — production agents with governance in the control plane: approval gates, least-privilege access, full audit logs, a kill-switch. Not a demo with a compliance memo stapled on.
- Operate — continuous evidence: drift detection, evaluation, audit-trail maintenance, incident response.
Looking for the technical architecture — models, MLOps, the agent stack? That's the AI solutions page. Govern is the governance and evidence layer over it.
WHAT'S ACTUALLY MANDATED — AND WHAT ISN'T
We scope the real obligation, not the headline.
"The Agentic AI Mandate" is shorthand for a government framework and a Dubai directive with real deadlines — plus a data-protection law that already binds everyone. Here's what applies to whom.
50% of government services by 2028
On 23 April 2026 the UAE cabinet unveiled a framework to deploy agentic AI across 50% of government sectors, services and operations within two years. It explicitly includes establishing governance frameworks to ensure agentic AI is used responsibly and safely, and a National Committee for Agentic AI.
A two-year private-sector transition
In May 2026 Dubai directed its private sector to transition to agentic AI within two years.
PDPL is the binding floor
Any agent that touches personal data is bound by the UAE Personal Data Protection Law (Federal Decree-Law No. 45 of 2021) — classification, residency, audit logging.
If you're a federal entity or a Dubai-based business, you have a dated deadline. If you're neither, there is no fixed agentic-AI deadline for you — the pressure is procurement and board expectation, and PDPL is the hard legal line. We scope to whichever actually applies to you, and we'll tell you if none does.
THE GOVERN PORTFOLIO
Governed AI, sequenced Decide → Build → Run.
Each engagement is a fixed-scope product with a named Practice Lead — described here by the governance evidence it produces.
Decide (Entry)
- A1 · AI3 weeksBoardroom-to-BacklogAI ambition into a scored, funded portfolio with signed charters, decision rights and guardrails. The backlog your CFO can defend.→ View service
- A11 · AI3 weeksAgentic AI Readiness & Use-Case DiscoveryScores use cases and organisational readiness against the mandate; a 90-day execution backlog.→ View service
- A5 · AI2–3 weeksAI Use-Case Due DiligenceA go/no-go verdict per use case: data readiness, risk controls, KPI pack, pilot charter.→ View service
- A13 · AI3 weeksCAIO-in-a-BoxThe governance operating kit for a Chief AI Officer or federal entity: portfolio, governance pack, training curriculum, signed charters.→ View service
- A9 · AI3 weeksAI Safety & Red-Teaming SprintAdversarial testing with reproducible, severity-rated findings, before anything reaches production.→ View service
Build (Build)
- B14 · AI8-10 weeksAgentic Workflow Agent BuildOne production agent with governance in the control plane: approval gates, least-privilege access, full audit logs, kill-switch.→ View service
- B21 · AI10-14 weeksSovereign AI Platform BuildAn AI platform for regulated workloads, with CBUAE, ADHICS v2 and PDPL mapped directly to platform controls.→ View service
- B18 · AI10-14 weeksSovereign AI Infrastructure BuildAI compute inside a named boundary, with access governance, audit logging, key management and a supervisor-grade evidence pack.→ View service
- B20 · AI8-12 weeksNo-Code Agent PlatformA no-code platform shipping production agents under one governance overlay.→ View service
Run (Run)
- C9 · AISubscription (monthly)Managed Agent OperationsRuns production agents continuously: drift detection, evaluation, retraining, audit-trail maintenance, incident response.→ View service
- C2 · AISubscription (monthly)CoE-as-a-ServiceA governed AI operating model: intake, stage gates, evaluation, agent-registry governance, quarterly releases.→ View service
The Govern portfolio at a glance — Decide: Boardroom-to-Backlog · Agentic AI Readiness & Use-Case Discovery · AI Use-Case Due Diligence · CAIO-in-a-Box · AI Safety & Red-Teaming Sprint. Build: Agentic Workflow Agent Build · Sovereign AI Platform Build · Sovereign AI Infrastructure Build · No-Code Agent Platform. Run: Managed Agent Operations · CoE-as-a-Service.
HOW A GOVERN ENGAGEMENT RUNS
Fixed scope. Named owner. Evidence at every gate.
Every Govern engagement starts with a written scope and a named Practice Lead. Decisions are logged, agents ship behind approval gates with audit trails, and the operating model produces the evidence a board or auditor asks for. If the honest finding is "not yet" — the data isn't ready, the use case won't survive production, the risk outweighs the return — that no-go is a legitimate deliverable, delivered in writing.
FROM OUR PRACTICE
"50% by 2028" is an operating-model problem, not a model-selection one.
The hard part isn't choosing a model. It's the operating model around it: who approves an agent's actions, how you prove it stayed inside its authority, what happens the first time it's wrong, and how you show that to an auditor. Organisations that treat agentic AI as a procurement exercise hit the wall at the first governance review. The ones that move fastest build the accountability layer first, then let capability scale inside it. Govern is that layer.
FAQ
Frequently asked questions
Does the agentic-AI mandate actually apply to my company?
It depends who you are. Federal government entities are under the 50%-by-2028 framework. Dubai-based private companies are under Dubai's two-year transition directive. If you're neither, there's no fixed agentic-AI deadline for you — but PDPL still binds any agent that touches personal data, and procurement and board expectation are already moving. We scope to whichever applies.
Do you build the agents, or just advise on governance?
Both, as separate fixed-scope products — Decide, Build, Run, or any combination, each with its own scope, price and named lead.
What about PDPL and data residency?
Any agent touching personal data is scoped against PDPL from week one. For regulated workloads we map CBUAE and ADHICS v2 controls into the platform, and can build AI compute inside a named residency boundary.
What if the honest answer is that we're not ready?
Then we say so, in writing. A no-go is a legitimate deliverable. We'd rather tell you now than bill you to find out.
How is this different from your AI solutions page?
The AI page is how agents are built. Govern is how you adopt them safely and prove it — the portfolio decision, the controls, the evidence. Same engagements, viewed through governance.
Bring us the AI decision you're stuck on. We'll scope it — fixed price, fixed timeline, named accountability.
Most Govern engagements begin with a 30-minute architecture clinic: describe where you are — a board asking for an AI plan, a mandate deadline, an agent you're not sure you can defend — and we'll tell you which engagement fits, or design a scope if none does. A written scope follows within five business days.