AI Governance & Cost Control
You want AI adoption but need controls for usage, approvals, spend, procurement, and accountability.
AI governance and cost control define who can use AI, what data can be used, which tools are approved, and how usage and spend are tracked and managed.
Ungoverned AI spreads as duplicated subscriptions, surprise bills, and unclear accountability. Governance keeps adoption fast and safe - and keeps cost from quietly compounding.
- AI subscriptions are appearing across departments
- No central approval or ownership for AI tools
- Unclear and growing AI/cloud spend
- Compliance needs a defensible AI usage policy
What good looks like
Assess
Review your current state against real risks and goals to find the gaps that matter.
Prioritize
Rank the gaps by business impact and tackle the highest-value fixes first.
Build roadmap
Sequence the work with budget, timeline, and clear ownership.
Execute & support
Procure, deploy, validate, and stay accountable through rollout and beyond.
We recommend the right fit for your environment, we're not locked to any one vendor.
Who should own AI governance?
Usually a small cross-functional group (IT, security, legal, a business sponsor). We help you define the model and the review cadence.
How should AI usage be approved?
Through a clear policy and approved-tools list: who can use which tools, with what data, under what controls. We help you define and roll out the approval process.
How do we estimate and control AI cost?
Consolidate subscriptions, gain usage visibility, and apply the same governance you'd use for cloud cost. We help you forecast and keep spend in check.
Review your AI governance model
AI governance policy starter checklist.
Review your AI governance model