A managed AI governance service that discovers the shadow AI already in your tenant, authors the governance framework your business needs, and supports the decision you make, whether that is enabling AI with guardrails or restricting unapproved tools across managed devices.
Every service starts here. Before GridLogic IT recommends enablement or disablement, the team runs a structured discovery of what is already happening in your tenant and authors the governance framework your business will operate under.
Managed discovery of every AI platform in use across the tenant, sanctioned or not. Built from Microsoft Defender for Cloud Apps telemetry and Entra ID sign-in analysis. Delivered as a written inventory GridLogic can brief to ownership.
GridLogic IT authors an enforceable AI Acceptable Use Policy tailored to your business, your data, and your risk posture. A written governance artifact covering what is permitted, what is prohibited, and how the policy is enforced technically.
The service includes a review cadence so the governance framework keeps pace with new AI platforms and new organizational risk. Ongoing managed IT clients receive GridLogic-authored policy updates as the landscape shifts.
Your business has decided AI belongs in the environment, and that is the right call. GridLogic IT designs the data boundaries, access configuration, and adoption program that lets your team capture the productivity gains without exposing the business to the underlying risk.
Managed assessment of your data governance, SharePoint permission configuration, sensitivity labels, and compliance posture before any AI platform touches the tenant. GridLogic IT delivers a readiness report ownership can sign off on.
GridLogic IT designs and implements the deployment configuration for your chosen AI platforms: data boundaries, access scoping, DLP policy, and Conditional Access rules that allow approved tools while blocking the rest. A deliberate configuration, not a quick switch-flip.
Senior-led adoption program covering what to share, what to withhold, how to verify outputs, and how to stay inside the governance framework. Knowledge transfer focused on practical security judgment, not just prompting technique.
Scheduled governance reviews track adoption, surface misuse, and refine the framework as the platforms evolve. Ongoing clients get policy and configuration updates as the AI landscape changes.
DifferenceIf ownership has decided certain AI tools do not belong in the business, GridLogic IT builds practical controls across identity, endpoint, and data boundaries so policy is enforceable and exceptions are visible.
Managed restrictions for unapproved AI tools such as ChatGPT, Gemini, Claude, Perplexity, and Midjourney across supported browsers, identity controls, and managed endpoints. Delivered through Defender for Cloud Apps, Intune web content filtering, and DNS-layer controls where appropriate.
Microsoft Purview DLP policies and sensitivity labels that prevent classified documents from being copied, uploaded, or processed by any AI platform. GridLogic IT designs the data boundary so sensitive information stays inside the tenant where it belongs.
Intune configuration profiles that block AI browser extensions, desktop AI applications, and unauthorized software on Windows and macOS endpoints. A deliberate endpoint configuration that keeps managed devices aligned to the governance framework.
Whether the service enables AI or eliminates it, the cost of leaving the tenant ungoverned compounds every month. AI adoption is accelerating, and the gap between what employees are doing and what the business has sanctioned is widening.
Every service starts with a senior-led governance assessment. GridLogic IT maps the shadow AI already in your tenant, frames the decision, and authors the framework that codifies whichever path ownership chooses.
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