AI Control Tower & AI Risk
See where AI is operating, who owns it and whether it is properly controlled.
Establish a governed AI inventory, intake process and evidence model in ServiceNow, connected to risk, controls, services and the wider technology estate.
AI is appearing across cloud platforms, copilots, SaaS products and locally built agents faster than governance processes can keep pace.
Registers alone do not provide operational control. Organisations need ownership, workflow, evidence and a clear understanding of discovery boundaries.
What changes
From fragmented activity to a controlled outcome.
Before
AI assets, owners, risks and approvals are scattered across systems and spreadsheets.
With the control tower
Inventory, intake, assessment, controls and evidence are connected through ServiceNow workflows.
After
Leaders can see governed AI activity and teams have a practical route for introducing new use cases safely.
How it works
A practical route from the current problem to an operational result.
Discover & register
Bring known AI assets and supported discovery sources into one controlled inventory.
Classify & own
Establish purpose, type, criticality, ownership and accountable business context.
Assess & control
Link risks, policies, controls, assessments and evidence to the relevant AI record.
Operate & improve
Run intake, review, exception and reporting processes as an ongoing capability.
Capabilities
What the solution brings together.
AI inventory
A consistent record of agents, models and AI-enabled services within the supported scope.
Intake & approval
A governed route from proposed use case to assessment, decision and implementation.
Risk and control mapping
Trace obligations, risks, controls, testing and evidence.
Service and CMDB context
Connect AI use to applications, services, owners and operational dependencies.
Reporting and oversight
Provide leadership views of ownership, status, exposure and outstanding action.
Integration-aware design
Be explicit about what each source exposes and where manual or custom integration is required.
What you receive
Possible engagement outputs.
Scope, deliverables and ongoing responsibilities are agreed for each engagement.
- Defined AI inventory model
- Governed intake workflow
- Risk and control relationships
- Ownership and accountability model
- Oversight dashboards and reporting
- Integration and discovery roadmap
Approach & potential benefits
Governance that operates, not another static register
The value comes from joining records to decisions, controls, workflow and evidence. Discovery coverage must be stated honestly: some sources expose agents and linked models, while standalone models or deeper relationships may require other methods.
Where it fits
Use this solution when…
- You cannot confidently answer where AI is already operating.
- New AI use cases lack a consistent approval and risk route.
- Risk, technology and business teams hold different versions of the truth.
READY FOR WHAT’S NEXT?
Talk to our team
Whether you’re planning a transformation, improving an existing technology investment or exploring new capabilities, talk to us about how we can help.
Contact us →