Policy & Process

AI Governance for IT: A Practical 10-Step Checklist

An actionable checklist IT teams can use to implement AI governance in 30 days, from auditing shadow AI to deploying enterprise platforms with proper controls.

Why AI Governance Matters

Real data showing the impact of proper AI governance

⏱️
30 days
Implementation Time

From audit to full governance

10 steps
Practical Checklist

Clear, actionable items

🎯
79%
Workers Using AI

Of Canadian office workers using AI tools, only 25% on enterprise solutions (IBM, 2025)

📝
100%
Audit Trail

Full visibility after implementation

How We Help You Govern AI

Comprehensive AI governance solutions automated for your business

🔍

Shadow AI Discovery

Automated tools to find unauthorized AI usage across your organization.

  • Network traffic analysis
  • SaaS discovery scanning
  • Employee usage surveys
  • Expense report review
🚀

Platform Selection & Deployment

Choose and configure enterprise AI platforms with proper governance.

  • Requirements gathering
  • Platform comparison and selection
  • Secure configuration
  • SSO and RBAC setup
📋

Policy Creation & Enforcement

Implement acceptable use policies with technical and administrative controls.

  • Policy template customization
  • Automated enforcement rules
  • User training and rollout
  • Violation monitoring
📊

Ongoing Monitoring & Optimization

Continuous governance with usage tracking, compliance reporting, and improvements.

  • Real-time usage dashboards
  • Compliance audit reports
  • Cost optimization alerts
  • Quarterly governance reviews

The 10-Step AI Governance Checklist

Complete these 10 steps for comprehensive AI governance in 30 days

1

Audit Current AI Usage

Discover what AI tools are being used across your organization (shadow AI and approved tools).

How to do it:

  • • Run network traffic analysis for AI endpoints (openai.com, claude.ai, etc.)
  • • Use SaaS discovery tools (Microsoft Defender for Cloud Apps)
  • • Survey employees: "What AI tools do you use for work?" (anonymous)
  • • Review expense reports for AI subscriptions

⏱️ Time: 3-5 days | 🎯 Owner: IT Security/Network Team

2

Assess Risks & Compliance Gaps

Evaluate which AI usage creates compliance, security, or financial risks.

Key questions:

  • • Which tools are sharing client/proprietary data?
  • • Are any tools using data for training (privacy risk)?
  • • Do we have BAAs for healthcare data, DPAs for GDPR?
  • • What's the total financial exposure (cost + liability)?

⏱️ Time: 2-3 days | 🎯 Owner: IT + Legal + InfoSec

3

Select Enterprise AI Platforms

Choose 2-3 enterprise AI platforms that cover all use cases with proper governance.

Typical platform mix:

  • M365 Copilot for productivity (Word, Excel, Outlook, Teams)
  • Azure OpenAI for custom applications and integrations
  • ChatGPT Enterprise for general AI assistance (if not using Copilot)

⏱️ Time: 3-5 days | 🎯 Owner: IT Architecture + Procurement

4

Configure Platforms with Governance

Set up chosen platforms with SSO, data protection, logging, and access controls.

Configuration checklist:

  • • Enable SSO (Azure AD, Okta, Google Workspace)
  • • Turn off training on business data (where applicable)
  • • Configure audit logging and retention
  • • Set data residency (Canadian datacenters if required)
  • • Enable DLP and compliance policies

⏱️ Time: 3-7 days | 🎯 Owner: IT Admin + InfoSec

5

Create Acceptable Use Policy

Draft and approve a simple AI acceptable use policy that defines what's allowed and what's not.

Policy must cover:

  • • Approved AI platforms (and how to request new ones)
  • • What data can/cannot be shared with AI
  • • Prohibited activities (personal accounts for work, etc.)
  • • Consequences for violations

⏱️ Time: 3-5 days | 🎯 Owner: Legal + IT + HR

Steps 6-10: Deployment & Ongoing Governance

6

Train Users & Deploy

Conduct training, assign licenses, migrate from shadow AI to approved platforms.

⏱️ 5-7 days

7

Set Up Monitoring & Alerts

Configure dashboards, usage reports, cost alerts, and compliance monitoring.

⏱️ 2-3 days

8

Block/Monitor Shadow AI

Block unapproved tools at network level or monitor usage for policy violations.

⏱️ 2-3 days

9

Document & Communicate

Publish governance docs, communicate policy, set up support channels.

⏱️ 2-3 days

10

Schedule Ongoing Reviews

Set up monthly usage reviews, quarterly governance reviews, annual policy refresh. AI governance is ongoing, not one-time.

⏱️ Ongoing

Total Implementation Time

30 Days

From audit to full AI governance

What our clients say

Frequently Asked Questions

Everything you need to know about AI governance

Can we implement this checklist without a dedicated governance team?

Yes! Most organizations implement AI governance with existing IT staff (1-2 people part-time). The checklist is designed for practical implementation with limited resources. For larger organizations, consider assigning a dedicated AI governance lead.

Do we need to complete all 10 steps before we can use AI?

No. Steps 1-5 are critical and should be completed before widespread AI usage. Steps 6-10 are important but can be implemented iteratively over the first 90 days. The goal is progress, not perfection.

What tools do we need to implement this checklist?

Most can be done with built-in tools: Microsoft Defender for Cloud Apps (SaaS discovery), Azure AD (SSO), M365 admin center (usage monitoring). For shadow AI scanning and advanced monitoring, we provide specialized tools as part of our governance implementation.

How often should we revisit this checklist?

Initial implementation: 30 days. Then quarterly reviews to update policies, add new approved tools, optimize costs, and adapt to new AI capabilities. AI governance is not set-and-forget. It is an ongoing program.

Need Help Implementing the IT Governance Checklist?

We provide hands-on support for each step, from shadow AI discovery to platform deployment and ongoing monitoring. Get it done in 30 days with expert guidance.

✓ No credit card required  •  ✓ Free consultation  •  ✓ Custom governance roadmap