AI without guardrails is just risk.
Copilot is rolling out across Microsoft 365 and Power Platform whether your organization is ready or not. The question isn't whether to adopt AI — it's whether you'll govern it before something goes wrong.
Governance that works in practice
Not just policies on paper — actionable controls, real monitoring, and frameworks that your team will actually follow.
Usage Policies
Define what AI can and can't do in your environment. Acceptable use policies for Copilot, AI Builder prompts, and custom AI integrations — written for your organization, not copied from a template.
Data Loss Prevention
Configure DLP policies that account for AI data flows. Ensure sensitive data isn't inadvertently exposed through Copilot responses, AI Builder outputs, or custom connector prompts.
Monitoring & Oversight
Visibility into how AI is being used across your tenant. Track adoption, flag anomalies, and ensure AI usage aligns with organizational policies and compliance requirements.
Compliance Frameworks
Map AI usage to your regulatory obligations — GDPR, HIPAA, SOC 2, industry-specific requirements. Documentation and evidence trails that satisfy auditors.
Role-Based Access
Control who can create, modify, and deploy AI components. Maker permissions, environment segmentation, and approval workflows that prevent ungoverned AI sprawl.
Lifecycle Management
Processes for testing, validating, and promoting AI components through environments. Version control, rollback procedures, and change management for AI workloads.
Can your organization answer these?
If any of these give you pause, it's time to build a governance framework.
Who is allowed to create and deploy AI components in our environment?
What data is Copilot able to access, and is our security model configured correctly?
How do we monitor AI usage and ensure it stays within acceptable boundaries?
What happens when an AI-generated output is wrong or misleading?
How do we satisfy auditors and regulators regarding our AI usage?
What's our process for evaluating new AI features before enabling them tenant-wide?
We help organizations build AI governance frameworks that are specific to Power Platform — not generic enterprise AI policies that nobody reads.
Ready to get your environment under control?
Tell us about your Power Platform challenges. We'll help you figure out the best path forward.