// Capability · delivered through AmplifyAI
AI governance: control the AI you know about — and find the AI you don’t.
AI governance is the recurring discipline of controlling how AI is used in an organization: an enforced acceptable-use policy, permissions that decide who can use which tools against which data, detection of unsanctioned AI use, and cost controls. DivergeIT operates it as a managed service through AmplifyAI.
The chain, not the checkbox
- Copilot, Claude, and the AI tools you have not sanctioned
- AmplifyAI — governance operated as a service
- Acceptable-use policy enforced in tenant settings
- Per-user policy acknowledgment
- Role-based permissions for AI tools
- Shadow-AI detection and reporting
- Tool blocking and enforcement where needed
- Cost controls, budget alerts, and recurring policy review
Tools: Microsoft Copilot · Anthropic Claude · Microsoft 365
// What the operation includes
Work that recurs, because the risk recurs
- Policy that is enforced, not filed
- An AI acceptable-use policy written for your organization, enforced in tenant settings, and acknowledged per user — set up during onboarding, kept current on a review cadence.
- M365 data-risk review
- Platform configuration and data-risk review before AI goes live — find oversharing before the AI does.
- Shadow-AI detection
- Visibility into unsanctioned AI use across the organization, reported to leadership — with the option to escalate from detection to blocking.
- Role-based permissions
- Who can use which AI tools, against which data — managed as roles change and tools evolve.
- Enforcement with teeth
- Tool blocking and enforcement on Success Team Plus — the step up from knowing about unsanctioned use to stopping it.
- Cost governance
- Token and usage visibility by user and team, cost controls, and budget alerts so AI spend never surprises the CFO.
// The operating rhythm
Why clients stay every month
- AI policy review and governance cadence on Success Team Plus
- Recurring shadow-AI and usage reporting
- Permissions review as roles and tools change
- Budget alerts and monthly or quarterly business reviews
// Built for
Who this fits
- Regulated industries where ungoverned AI use is a compliance exposure
- Organizations that suspect shadow-AI use but cannot see it
- Boards and executives who need AI risk made reportable
Delivered through AmplifyAI — AI Solutions, with response guarantees in writing and every rate published on one page.
// FAQ
AI Governance, answered plainly
What does managed AI governance include?
An enforced acceptable-use policy with per-user acknowledgment, role-based permissions for AI tools, shadow-AI detection and reporting, tool blocking where required, cost controls, and a recurring review cadence.
What is shadow AI?
AI tools employees use without sanction or oversight — personal chatbot accounts, browser extensions, unvetted SaaS. Shadow-AI detection makes that use visible and reportable; enforcement can block it.
Is governance a one-time setup?
No. Tools, models, roles, and regulations all change. Governance only works as a recurring operation: policy reviews, permission updates, fresh detection reports, and business reviews on a set cadence.
// Related capabilities
Ready to run ai governance instead of buying it once?
A discovery call with our team, not a sales pitch. We assess your current state and show you exactly what a response guarantee — backed by a $100 credit — would mean for your operations.