AI Governance Consulting
AI governance consulting services provides visibility into AI usage and prevents data leakage.

Strategic AI Governance
AI adoption is happening faster than most organizations can manage. While the potential is massive, the security, compliance, and operational risks multiply when left unmanaged.
Move beyond reactive AI security to an approach that holistically secures your AI infrastructure and IT. Our proprietary methodology starts with an assessment, an approved plan and methodical deployment.
Why You Need AI Governance
Shadow AI Risks
Employees are using unsanctioned AI tools to generate content. Some of it is inaccurate, unethical, or non-compliant. Without clear guardrails in place, you have limited visibility into what is being accessed or shared.
Confidential Data Loss
Copilot can pull and surface information from SharePoint and across Microsoft 365. Without proper oversight, users may inadvertently access and share sensitive internal data with unauthorized individuals.
1 in 80 generative AI prompts expose sensitive information to hackers.
AI Governance Consulting Services - What You Get
Our AI governance services are practical, structured, and built for organizations that want clarity.
Restricted Shadow AI Usage
We assess your environment and establish an adoption framework limiting AI usage to models sanctioned by your IT. Effectively, we block all shadow AI models from accessing your IT environment and datasets they shouldn’t.
AI Security Strategy
We establish a strategic approach for integrating AI into Microsoft 365. This includes defining the types of data it should access, restricting what it shouldn’t, and aligning its usage with your internal policies and industry regulations.
Fixing Compliance Gaps
We address the risks that often go unnoticed — loose permissions, externally shared sensitive data, missing audit trails, and unclear roles. Our process cleans up orphaned SharePoint sites, outdated retention rules, and fragmented usage policies that create unnecessary work and regulatory exposure.
Holistic AI Governance
Regardless of the AI model of your selection, we secure data across its entire lifecycle, including on-premises systems, multi-cloud environments, structured and unstructured sources, IaaS, and SaaS. Our team configures data loss prevention policies that protect critical information without blocking legitimate business activity.
Our Approach for AI Governance
Targeted Adoption Strategy
We work directly with your stakeholders to identify where AI delivers the most value. This includes mapping high-usage departments, key business scenarios and the specific metrics you want to improve.
Comprehensive Success Plan
You’ll get a clear roadmap covering foundational setup, stakeholder alignment, policy definition, and deployment strategy—everything required to roll out AI securely and at scale.
Operational Governance Framework
We help you define what’s considered sensitive, where that data resides, who should access it, and how it’s used. From access controls to prompt risk mitigation, every control is mapped and enforced to reduce oversharing and exposure.
Hear From Our Clients
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How we helped WECHU deploy a scalable AI governance framework
The Windsor-Essex County Health Unit conducted a penetration test that revealed several areas needing attention. Although they had a partner at the time, it became clear they required stronger support.
CrucialLogics went beyond addressing immediate concerns by sharing a strategic roadmap that identified additional security gaps. The team’s support delivered significant value by hardening the Microsoft tenant, implementing the right policies, and laying the groundwork for future cloud expansion.



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Schedule Your AI Governance Assessment
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Frequently Asked Questions
What is the difference between Copilot AI and Microsoft 365 Copilot?
Microsoft 365 Copilot is Microsoft’s AI assistant built into tools like Word, Excel, Outlook, and Teams. It’s trained specifically to work within your Microsoft 365 environment, using your internal data. “Copilot” alone is often used more generally to describe various AI assistants, including GitHub Copilot and third-party tools, which have different access models and security implications
How do I control what Copilot can access?
Access is managed through Microsoft 365 permissions, sensitivity labels, and policies configured in Microsoft Purview. We help you define which data sources Copilot can pull from, apply controls to restrict sensitive data, and monitor prompt activity for compliance and risk signals.
Where does Copilot get its data from?
Copilot draws from the Microsoft Graph — meaning it can access content in emails, Teams chats, SharePoint, OneDrive, and more, depending on user permissions. Without proper controls, users may surface sensitive data unintentionally. Governance ensures Copilot only draws from the right sources with the right level of access.