Move AI from scattered experiments to a governed business capability.
Select, deploy, govern and continuously improve AI use cases with visible cost, risk, adoption and business value.
- Managed service
- Select, govern, scale
- Microsoft 365 and Copilot
AI adoption is moving faster than most organisations can govern it.
Scattered experiments
Disconnected pilots create duplication, confusion and missed opportunities.
Sensitive information exposure
Inconsistent controls increase the risk of data leakage and compliance breaches.
Invisible cost
Untracked usage and tools lead to uncontrolled spend and poor return.
Pilots that never scale
Good ideas stall without ownership, enablement and operational support.
Select, govern, scale.
Select
Prioritise AI use cases by value, risk and readiness.
Govern
Controls for data, models, cost and responsible use.
Scale
Adoption, operations and continuous optimisation.
A recurring service across the AI lifecycle.
Six stages that repeat rather than a project that ends, so every quarter starts from measured adoption and evidence.
Prioritise
Select high-value use cases aligned to outcomes and capacity.
Govern
Define policies, controls and safeguards for safe and responsible use.
Prepare
Ensure data, tools, access and platforms are fit for purpose.
Enable adoption
Train, support and equip people to use AI with confidence.
Operate & support
Manage services, incidents, performance and continuous support.
Measure & improve
Track outcomes, learn and refine to maximise business value.
Six responsibilities, held by one team.
- AI strategy and portfolio
- Governance and controls
- Enablement and adoption
- AI operations and support
- Consumption and cost
- Optimisation and value
AI inherits the strengths, and weaknesses, of the environment around it.
Managed AI is one of the six NumataOne™ categories. It is governed alongside the other five so a use case is grounded in data, identity and security rather than bolted on.
IT Strategy, Risk & Compliance
Cyber Resilience
Data Protection
IT Operations
Modern Work Enablement
AI & Data Enablement
Measure the improvements that reach the business.
A shared dashboard, reviewed at business rhythm, keeps the service accountable to outcomes.
Adoption
Who is using which capability, and how often.
Time released
Hours returned to the business per use case.
Quality
Accuracy, review outcomes and rework avoided.
Risk
Policy exceptions, data exposure and incidents.
Cost
Licences, consumption and cost per outcome.
Built for organisations ready to manage AI.
- Executive sponsorship and clear business outcomes.
- Meaningful demand for AI use cases across the business.
- Minimum governance and technology foundations in place.
Clear boundaries protect value and trust.
We scope custom solutions, major integrations, data engineering, licences and model consumption explicitly. AI outputs require appropriate human oversight and accountability.
Where Managed AI meets governed build.
Managed AI governs how your organisation uses AI. AI Studio is the delivery arm that builds, deploys and runs the internal AI applications and workflow systems you use it in: secure by design, integrated with Microsoft 365 and improved every quarter.
- Live in under thirty days
- Governed against NumataOne™
- Integrated with your Microsoft 365
- One subscription, no surprise bills
From AI curiosity to a governed portfolio of practical use cases.
A national multi-store retail operator turned scattered experiments into a managed AI operating model spanning marketing, finance, training and store operations.
The other named programmes.
Each one packages the same operating standard into a named engagement with a defined scope, cadence and way of evidencing progress.
NumataOne™
The operating model everything else runs on: one lifecycle, one accountable partner and one reporting cadence across the six categories.
DayOne+ for private equity
Value creation across the hold period: transaction-ready diligence at entry, an operating model landed by day one, and evidenced uplift at exit.
Workplace Device Subscription
Devices delivered as a managed subscription: specified, secured, supported and refreshed on a predictable per-user cost, with the lifecycle handled for you.
Start with the decisions
AI must improve.
Assess readiness, prioritise credible use cases and define the managed operating model that delivers measurable outcomes.