/ Case Studies / Establishing an AI‑Ready Data Governance Foundation With Microsoft Purview Case Studies Establishing an AI‑Ready Data Governance Foundation With Microsoft Purview A global manufacturing organization partnered with Concurrency to establish a secure data governance foundation in preparation for AI assistants and advanced analytics. Operating across multiple facilities and managing decades of enterprise data, the organization recognized that enabling AI without strong governance would introduce significant compliance, security, and data‑exfiltration risk. Critical Issue The organization was preparing to pursue AI use cases across Microsoft 365 but lacked consistent governance and visibility across its data estate. Classification and retention practices varied across teams, insight into sensitive data exposure was limited, and governance controls were not standardized. With a large, hybrid data environment spanning on‑premises and cloud platforms, leadership understood that activating AI assistants without first addressing these gaps would increase insider risk, regulatory exposure, and the potential for unintended data disclosure. Customer Profile A privately held, global manufacturing company with approximately 1,000–5,000 employees, operating industrial, commercial, and HVAC machinery manufacturing and service facilities across the United States and internationally. The organization manages a large, distributed enterprise data environment and maintains strict security and compliance expectations. Key Problem The organization needed to enable AI and analytics while maintaining strong security and compliance controls. Without a unified data governance framework, exposing enterprise data to AI assistants would amplify existing risk. A foundational governance strategy—and the ability to operationalize it—was required before safely moving forward. BUSINESS CHALLENGES Before partnering with Concurrency, the organization faced several challenges: Inconsistent data classification and retention across teams and systems Limited visibility into sensitive data and how it was accessed or shared Non‑standard governance controls, making enforcement difficult at scale A large, distributed data estate spanning decades of historical information Hybrid architecture complexity, requiring governance across on‑premises and cloud environments Pressure to enable AI while maintaining strict security and compliance standards Outcomes Improved Visibility Into Sensitive Data By activating Microsoft Purview and DSPM capabilities, the organization gained centralized visibility into sensitive data across Microsoft 365—establishing a clearer understanding of where risk exists before introducing AI. Reduced Security & Compliance Exposure Standardized governance controls, auditing, and insider risk monitoring reduced uncertainty around data access and usage, strengthening the organization’s security posture as AI initiatives move forward. AI‑Ready Governance Foundation The engagement produced a clear, phased roadmap enabling the organization to pursue AI assistants and analytics on trusted, governed data, avoiding costly retrofitting of controls later. our solution Concurrency delivered a combined Data Governance Advisory and Microsoft Purview Data Protection engagement focused on immediate risk reduction and long‑term AI readiness. The engagement included: Activation of Microsoft Purview within the customer’s environment Enablement of Data Security Posture Management (DSPM) and DSPM for AI Configuration of Insider Risk Management and Premium Auditing Review and validation of sensitive information types and governance controls Education sessions and guided walkthroughs of Purview capabilities Delivery of a phased governance roadmap aligned to future AI initiatives Rather than treating governance as a compliance exercise, Concurrency positioned it as a strategic enabler for AI. IMPLEMENTATION HIGHLIGHTS $8,000 data governance advisory engagement Microsoft Purview activated and configured DSPM and DSPM for AI enabled Insider Risk Management and Premium Auditing configured Guided education sessions and governance walkthroughs delivered Governed roadmap defined for future AI adoption OUTCOMES Improved Visibility Into Sensitive Data By activating Microsoft Purview and DSPM capabilities, the organization gained centralized visibility into sensitive data across Microsoft 365—establishing a clearer understanding of where risk exists before introducing AI. Reduced Security & Compliance Exposure Standardized governance controls, auditing, and insider risk monitoring reduced uncertainty around data access and usage, strengthening the organization’s security posture as AI initiatives move forward. AI‑Ready Governance Foundation The engagement produced a clear, phased roadmap enabling the organization to pursue AI assistants and analytics on trusted, governed data, avoiding costly retrofitting of controls later. KEY LEARNINGS Data governance must come before AI adoption to avoid introducing risk Microsoft Purview delivers immediate value when paired with a clear strategy Combining advisory services with hands‑on enablement accelerates results and stakeholder confidence BUSINESS IMPACT The engagement established a governed foundation that allows the organization to: Improve visibility into sensitive data Monitor and manage data security risks across Microsoft 365 Reduce compliance and insider‑risk exposure Confidently pursue AI assistants and advanced analytics Immediate value was realized through a stronger security posture, with additional ROI unlocked as AI initiatives are introduced on top of this foundation. CONCLUSION By partnering with Concurrency, the organization transformed data governance from a theoretical requirement into an operational, AI‑ready capability. The Data Governance Advisory engagement delivered practical controls, increased visibility, and a clear roadmap—positioning the organization to scale AI securely without rework, retrofitting, or unnecessary risk. Data Governance & AI Readiness FAQs Why is data governance important before enabling AI assistants? Data governance is critical before enabling AI because AI tools rely on access to enterprise data. Without proper classification, protection, and oversight, AI can expose sensitive information and increase compliance or insider‑risk exposure. Establishing governance first ensures AI operates on trusted, secure, and well‑controlled data. How does Microsoft Purview support AI‑ready data governance? Microsoft Purview provides unified visibility and control over sensitive data across Microsoft 365. Capabilities such as Data Security Posture Management (DSPM), Insider Risk Management, and auditing help organizations understand where sensitive data lives, who can access it, and how it’s being used—creating a strong foundation for safe AI adoption. What is Data Security Posture Management (DSPM) and why does it matter for AI? DSPM helps organizations assess and reduce data‑related security risks by analyzing exposure, protection gaps, and risky activity across data sources. When preparing for AI, DSPM is essential because it identifies unprotected or over‑exposed data before AI tools are introduced, helping reduce the risk of unintended disclosure. How does insider risk management fit into a data governance strategy? Insider Risk Management helps monitor and investigate risky data behaviors, such as excessive access or data movement. In an AI‑enabled environment, insider risk controls help ensure that increased access to information doesn’t introduce new vectors for data misuse, whether intentional or accidental. Can Microsoft Purview govern data across hybrid environments? Yes. Microsoft Purview is designed to support governance across hybrid data estates, including cloud and on‑premises environments. This is especially important for organizations with decades of data spread across multiple platforms that want consistent governance before expanding AI capabilities. What outcomes can organizations expect from a data governance advisory engagement? A data governance advisory engagement provides improved visibility into sensitive data, standardized governance controls, and a phased roadmap for expanding protection. When combined with hands‑on Purview enablement, organizations can reduce compliance risk immediately and pursue AI initiatives with greater confidence and less rework later.
