AI Governance Practice

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

A specialized consulting engagement that discovers the shadow AI already in your tenant, authors the governance framework your business needs, and executes the decision you make, whether that is enabling AI with guardrails or disabling it across every managed endpoint.

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The Foundation

AI Governance

Every engagement starts here. Before the firm recommends enablement or disablement, the principal 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 Deliverable

Consulting 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 a principal can brief to ownership.

AI Acceptable Use Policy Authoring

The firm 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 engagement includes a review cadence so the governance framework keeps pace with new AI platforms and new organizational risk. Retainer clients receive principal-authored policy updates as the landscape shifts.

Enablement

AI Enablement

Your business has decided AI belongs in the environment, and that is the right call. The firm designs the data boundaries, access architecture, and adoption program that lets your team capture the productivity gains without exposing the business to the underlying risk.

AI Readiness Assessment

Consulting assessment of your data governance, SharePoint permission architecture, sensitivity labels, and compliance posture before any AI platform touches the tenant. The firm delivers a readiness report ownership can sign off on.

Secure AI Deployment Architecture

The firm designs and implements the deployment architecture 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 architecture, not a quick switch-flip.

Adoption Program & Knowledge Transfer

Principal-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. Retainer clients receive an advisory partnership that keeps the architecture current as the AI landscape changes.

Disablement

AI Disablement The Difference

Most IT firms will not design for this. GridLogic IT will. If ownership has decided AI does not belong in the business, the firm architects a full disablement program across identity, endpoint, and data boundary so the decision holds with no workarounds, no gaps, no exceptions.

Identity & Platform Disablement

Architected blocking of ChatGPT, Gemini, Claude, Perplexity, Midjourney, and every other consumer AI platform across every managed endpoint. Delivered through Defender for Cloud Apps, Intune web content filtering, and DNS layer controls. Engineered so there is no workaround left on the table.

Data Boundary Design

Microsoft Purview DLP policies and sensitivity labels that prevent classified documents from being copied, uploaded, or processed by any AI platform. The firm designs the data boundary so sensitive information stays inside the tenant where it belongs.

Endpoint Architecture

Intune configuration profiles that block AI browser extensions, desktop AI applications, and unauthorized software on Windows and macOS endpoints. A deliberate endpoint architecture that keeps managed devices aligned to the governance framework.

The Risk Is Real

Why This Matters Now

Whether the engagement 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.

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