AI governance: prove and control in 6 weeks
Your first AI use case in production, with control from day one.
AI adoption is accelerating across your teams, tools and vendors. The challenge is not whether to use AI, but whether you can scale it while keeping control. Can you see which models are used, by whom and at what cost? Can you show the value it delivers?
Big governance programmes rarely answer those questions quickly. Governance becomes real when the controls are visible and enforced at runtime, on a use case that matters to your business.
Prove and control is the first phase of the HikoniQ approach to AI governance. In 6 weeks, we deliver one valuable AI use case in production for one team, behind an AI gateway in Azure API Management. You get measurable business value and the first governance controls at the same time, without slowing your team down.
What you get
One business AI use case delivered to production, together with one team
The AI gateway in Azure API Management as the governed path between your use case and its models
An approved model list
Only approved models and deployments, published through the gateway
Visibility on model usage and cost
With token usage monitored per application and team
Basic security controls
Microsoft Entra ID access, managed identities and token limits
A lightweight AI inventory of your use cases, models and owners
Select and scope
Week 1
Together with your stakeholders, we select the use case with the clearest business value, define how we will measure it, and agree on the models and controls it needs.
Build and control
Weeks 2–5
We set up the AI gateway in your Azure API Management, publish the approved models and build the use case on top of it. Usage, cost and security controls are part of the build, not an afterthought.
Go live and hand over
Week 6
We take the use case to production, show the first usage and cost insights, and hand over to your team with the knowledge they need to run and extend it.
Beyond the first phase
Prove and control lays the foundation for the next phases. Each governance layer is added when adoption requires it:
Standardise and reuse
The same controls for 2–5 use cases, with an AI catalogue in Azure API Center
Shared AI capabilities
Reusable enterprise capabilities exposed as governed MCP tools
Agent readiness
Agent ownership, approval and lifecycle with Microsoft Agent 365
Formalise the AI centre of excellence
Governance that is owned, funded and repeatable
Meet our preferred partners:
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DevUP Solutions
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Frends
Whether you identify as a technical developer or a non-technical process enthusiast, Frends makes your work faster, your processes better, and your collaboration easier.