Your Team Is Already Using AI.
The Question Is Whether You're in Control.

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.

Shadow AI Discovery
Governance Framework
AI Enablement
AI Disablement
Governance Review

AI Governance

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.

Shadow AI Discovery

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.

AI Acceptable Use Policy Authoring

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.

Governance Review Cadence

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.

AI Enablement

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.

AI Readiness Assessment

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.

Secure AI Deployment Configuration

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.

Adoption Program & Knowledge Transfer

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.

Governance Review & Optimization

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.

AI Disablement The GridLogic IT Difference

If 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.

Why This Matters Now

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.

78% of employees using AI at work are bringing their own tools - without IT knowledge or approval. Source: Microsoft Work Trend Index, 2024
Zero Control Data pasted into public AI tools may be used to train future models. Once it is submitted, you cannot get it back.
Insurance Cyber insurance carriers are starting to ask about AI governance on applications. No policy means higher premiums or denial.
New Vector The average cost of a data breach continues to climb - and AI adds an entirely new category of exposure that most businesses have not addressed.

Scope an AI Governance Service.

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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