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Right now your people are using AI on personal keys and free tools with company data. The question is not whether to adopt it — your staff already have. It is whether that adoption is visible, costed and controlled, or invisible and leaking.
Ungoverned AI is already inside your business. The decision in front of you is not whether to adopt it — your teams have — it is whether that adoption is visible, costed and controlled, or invisible and leaking.
Staff run AI on personal keys and free tools — around 78% of employees do — while spend is invisible and uncapped and 68% of organisations report data leaks from it. You cannot see the cost, you cannot see the data flow, and you cannot audit what a client or regulator asks.
Runaway, unbudgeted spend; data leakage into free tools you cannot control; and no evidence to show a client’s due-diligence team or the regulator.
A representative planning scenario for a GCC mid-market organisation, built from the industry benchmarks cited below.
How to read this: consolidating shadow spend into one governed, capped estate removes duplicate licences and runaway token usage, while routing the data that must stay resident to the right region.
A deliberate sequence that proves value early and de-risks each step.
Pick the right cloud (or hybrid), baseline current shadow AI use, cost and data flows.
Stand up the governed environment — identity, network, residency, cost caps and quotas.
Move one real use case onto the governed estate and prove the model works for your teams.
Add teams and use cases against real demand, with visibility and cost control from day one.
You start with hard cost caps and per-team budgets, move a single use case before it scales, and design residency in from the start. Because it consolidates spend you were already carrying in the shadows, the governed estate usually costs less, not more.
Spend is visible and bounded from day one — no surprise invoice at quarter end.
Data that must stay in-region is routed there before any workload goes live.
Prove the governed model on a single workload, then extend team by team.
Every month of ungoverned AI grows both the bill and the breach exposure — around 68% of organisations already report data leaks from it. A governed estate now prevents both, and usually costs less than the sprawl it replaces.
“AI in the cloud, stress-free — governed, secured, and running where your data already lives.”
Whichever fits your data — Azure, AWS or Google, or a hybrid with your own box. We baseline your current shadow use, residency needs and existing contracts, then recommend the mix.
Hard cost caps, per-team quotas and per-use-case budgets are set before any workload goes live, with visibility from day one — so there is no surprise invoice.
We baseline what tools are in use and what has been shared, help you close the highest-risk gaps first, and move people onto the governed estate so it stops.
