Transformation story
Building an AI-Ready Data Governance Framework with Microsoft Purview
A global mining organization strengthened its data governance, compliance posture, and information protection strategy by partnering with Quadbridge to implement a comprehensive Microsoft Purview framework. The initiative improved visibility into sensitive data, reduced organizational risk, and established the foundation required to support future AI adoption and modernization initiatives.
THE CLIENT
INDUSTRY
Mining
Employees
5,000-10,000 employees
THE STORY
Governance gaps in Microsoft 365
THE STARTING POINT
As regulatory and compliance requirements evolved, the organization identified gaps in how sensitive information was managed across Microsoft 365. Business-critical data was spread across Exchange Online, SharePoint, OneDrive, and Teams, but lacked consistent classification, governance, and protection controls.
THE CHALLENGE
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Limited Data Visibility
Sensitive information was distributed across Exchange Online, SharePoint, OneDrive, and Teams, making it difficult to consistently identify, monitor, and govern critical business data. -
Inconsistent Classification
Without formal classification standards, departments managed information differently, creating challenges around data ownership, protection, and access control. -
Growing Compliance Risk
The lack of structured governance and protection controls increased the risk of exposing financial, legal, HR, and other sensitive corporate information. -
Uncertain AI Readiness
As interest in AI-powered tools grew, the organization needed confidence that its data was properly governed, protected, and accessible only to authorized users before moving forward.
THE SOLUTION
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Discovery & Assessment
We conducted workshops and stakeholder interviews across Finance, HR, Legal, IT, Investor Relations, and Executive teams to assess the current environment and identify governance, compliance, and information protection gaps. -
Microsoft Purview Implementation
Designed and implemented a data classification framework using Microsoft Purview Sensitivity Labels, establishing consistent standards for identifying and protecting sensitive information across business functions. -
Data Protection Controls
Our team deployed Data Loss Prevention (DLP) policies across Exchange Online, SharePoint Online, OneDrive for Business, Microsoft Teams, and endpoints to monitor, govern, and safeguard sensitive data. -
Governance & AI Readiness
Established governance processes, monitoring capabilities, and operational documentation while providing knowledge transfer and a roadmap to support long-term compliance maturity and responsible AI adoption.
THE IMPACT
Secure, trusted AI foundation
A secure and trusted data foundation now supports the organization’s AI journey.
