Managed Services
AI Governance & Managed AI Operations
AI governance services are the policies, monitoring, and access controls a company puts in place to control how employees and systems use AI tools, so company data isn't exposed and spend stays predictable. Almost no mid-market provider offers this today — it's the newest, and least covered, category of technology risk growing companies face.
4
Core pillars: usage, spend, access, data policy
Your Employees Are Already Using AI
Your employees are already using AI tools, sanctioned or not — pasting customer data into a chatbot to draft an email, uploading a spreadsheet to summarize it, using a browser extension nobody in IT has reviewed. This is shadow AI: usage that happens regardless of policy, mostly because there’s no policy or enforcement mechanism in place at all.
The risk isn’t that AI tools are being used — it’s that they’re being used without visibility into what data leaves your environment, what those tools’ terms of service actually permit, and whether that use conflicts with a customer contract or a regulatory obligation you’ve already signed up for.
What AI Governance Actually Covers
AI governance covers four things in practice: usage monitoring (what tools are actually being used, by whom, with what data), spend control (consolidating redundant subscriptions and setting budget thresholds), access management (who can use which tools, and under what conditions), and data-handling policy enforcement (technical controls, not just a document nobody reads).
This isn’t a one-time policy rollout. It’s ongoing operations — the same way we run managed security as continuous monitoring rather than a point-in-time audit, AI governance runs continuously as new tools appear and usage patterns shift, which they do constantly.
From Restriction to Safe Deployment
Governance isn’t about blocking AI — it’s the precondition for deploying it deliberately. Once usage, access, and data handling are under control, we help identify where AI actually earns its keep in your business: which workflows benefit from it, which tools are safe to standardize on, and how to roll them out without recreating the shadow AI problem you just solved.
That progression — govern first, then deploy — is built directly from our enterprise AI operations practice, where we manage AI systems for Fortune 500 clients under real data-handling and compliance constraints. Mid-market companies get the same discipline, scaled to their environment.
Where AI Governance Fits Your Engagement
AI usage governance and policy enforcement is part of our Complete tier — see the full tier comparison — alongside managed Azure operations and executive quarterly reporting, since AI governance is most valuable when it’s reported on at the leadership level, not buried in an IT ticket queue. It pairs closely with managed Azure for companies running AI workloads or Copilot deployments on Microsoft’s cloud, and with our broader managed IT services for mid-sized companies for organizations building this in from the start.
Common Questions
What is AI governance for a business?
AI governance is the set of policies, monitoring, and access controls a company puts in place to control how employees and systems use AI tools — so company data isn't exposed to tools you don't control, spend stays predictable, and usage complies with customer and regulatory data-handling commitments.
What is shadow AI?
Shadow AI is employee use of AI tools — chatbots, coding assistants, browser extensions — that IT hasn't sanctioned, reviewed, or secured. It's now nearly universal: employees paste company data into consumer AI tools regardless of policy, usually without realizing what data-handling terms they've agreed to.
How do you monitor and control AI spend?
We track licensed and shadow AI tool usage across the organization, consolidate redundant subscriptions, and set usage and budget thresholds with alerts before spend becomes a surprise line item — the same discipline we apply to Microsoft 365 licensing and Azure cost management.
Which tier includes AI governance?
AI usage governance and policy enforcement is included in our Complete tier, alongside managed Azure operations and executive quarterly reporting. It's built on our enterprise AI operations practice — almost no mid-market MSP offers a comparable service today.
Find Out Where AI Is Already Being Used in Your Company
The Technology Risk & AI Readiness Assessment scores your AI readiness as one of seven areas — a written starting point for governing usage you may not even know exists yet.
Request the Assessment