Ownership and inventory
Record the purpose, owner, data sources, and permitted use of each scoped AI capability.
Operate & govern
AI Governance for Businesses & Private Equity
AI governance for businesses and private equity firms. Define ownership, data access, review requirements, and evidence across portfolio AI initiatives.
Discuss your AI project ↗Connect a policy to an owner and evidence
| Question | Accountable role | Evidence |
|---|---|---|
| May we use this source? | Data owner | Access decision |
| May this action run? | Process owner | Approval rule |
| Is this release ready? | Delivery owner | Evaluation record |
| Should use expand? | Business sponsor | Outcome review |
Make responsibility visible in the workflow.
Governance works best when it appears in everyday decisions rather than only in policy documents. Blake Technologies helps translate your organization’s requirements into access rules, review workflows, inventories, and evidence that teams can maintain. We work with the client’s accountable stakeholders to decide which controls belong in software and which require operating procedures or specialist review.
Business AI governance should make it clear who owns a tool, which information it can use, and how its output affects customers or employees. Private equity firms may need consistent oversight across portfolio companies without erasing company-level accountability. We translate those responsibilities into software controls and operating practices that teams can maintain.
Governance needs a review cadence
A use case through its lifecycle
- 01RegisterPurpose and owner
- 02ReviewData and permitted use
- 03ApproveControls and evidence
- 04RevisitChanges and outcomes
Turn requirements into maintainable controls
Review practices
Define who evaluates a proposed use, approves a release, and revisits the decision when data or behavior changes.
Evidence and controls
Connect policies to logging, access checks, output review, and documented limitations in the delivered system.
Your engagement outputs
- A scoped AI inventory and responsibility model
- Control requirements linked to implementation work
- Review procedures and an evidence-maintenance plan
Scope, schedule, team, and support are agreed for the engagement.
A useful distinction
Does a governance engagement certify compliance?
No. We implement and document agreed technical and operational controls. Formal legal interpretation, independent audit, and certification remain separate activities with the appropriate specialists and accountable client owners.