AI is already in your organization—through Microsoft Copilot, ChatGPT, Claude, and dozens of employee-adopted tools. We help you harness AI’s productivity gains while governing data exposure, enforcing policy, and staying aligned with emerging regulations.
AI tools can dramatically accelerate productivity—but without proper governance, they can also expose sensitive data, violate regulatory requirements, and create liability. Fredericksburg Technology helps you build an AI strategy that captures the upside while protecting your organization.
From Microsoft 365 Copilot deployment to AI usage policies and shadow AI detection, we provide end-to-end AI governance for businesses of all sizes. We also help you build the infrastructure required for AI to perform reliably: clean data, proper identity management, and defensible documentation.
Microsoft Copilot is one of the most powerful productivity tools available—but improper deployment can expose confidential data through overly permissive SharePoint and OneDrive access. We plan, configure, and deploy Copilot securely, ensuring permissions are scoped correctly before users get access.
Employees are already using AI tools—ChatGPT, Claude, Gemini, Copilot, and others—often without IT knowledge. We inventory AI tool usage across your organization, classify the risk of each tool, and give you visibility and control over what data is being sent to third-party AI services.
A clear, enforceable AI policy is the foundation of good AI governance. We help you draft a policy that covers permitted tools, prohibited uses, data handling rules, and employee responsibilities—written for your specific industry, compliance requirements, and organizational culture.
As AI lowers the bar for sophisticated phishing, credential theft, and identity-based attacks, ITDR has become a critical security layer. We deploy Microsoft Entra ID Protection and Defender for Identity to detect compromised accounts, anomalous sign-in behavior, and lateral movement—stopping identity attacks before they escalate.
AI is only as safe as the data it can access. We implement Microsoft Purview sensitivity labels to classify your data as Public, Internal, Confidential, or Highly Confidential—automatically preventing confidential data from being processed by AI tools or shared inappropriately.
The biggest risk in AI adoption is untrained users. We deliver staff training that covers safe AI use, effective prompting techniques, how to verify AI outputs, and what information should never be entered into an AI tool—building a security-aware AI culture throughout your organization.
Many organizations rush to deploy AI tools without the foundational work that makes AI safe and effective. Microsoft Copilot, for example, can surface any file that a user has permission to access—meaning overly broad SharePoint permissions become an AI data leakage risk overnight.
Our AI Readiness Assessment evaluates your environment across five dimensions and gives you a clear, prioritized path to responsible AI adoption.
Different industries have different AI risk profiles. We tailor our governance approach to your regulatory environment:
We discover what AI tools are currently in use—sanctioned and unsanctioned—and assess the data exposure risk of each.
We evaluate your identity, data, security, compliance, and training posture against AI deployment requirements.
We draft your AI acceptable use policy and implement the technical controls that enforce it—DLP, Purview labels, Entra ID protection.
We deploy approved AI tools (including Microsoft Copilot) with proper configuration, permissions, and monitoring in place.
AI governance is an ongoing discipline. We provide quarterly reviews, policy updates, and monitoring as AI tools and threats evolve.
Whether you’re planning your first AI deployment or trying to govern the tools your team already uses, we’re here to help.
Schedule an AI Strategy Session