Data & AI Governance Audit | Maturity Assessment | Polestar Analytics
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    CONNECTED GOVERNANCE Audit

    Governance Audit: Measure Maturity, Identify Gaps, Build Your Roadmap

    Every domain owner audits their own area. You get one view of your governance maturity, the gaps that matter and a roadmap to close them.

    • 6 domains
    • Level 1 to 5
    • Scored in your browser
    • About 10 minutes
    Governance audit journey: audit, identify gaps, prioritize, take action
    WHY IT MATTERS

    Why Organizations Need a Governance Maturity Audit

    A data and AI governance audit finds the gaps before a regulator, or a failed AI rollout, does.

    52%
    AI without oversight

    of department-level AI initiatives lack formal oversight.

    Source: EY, March 2026
    21%
    Agent governance

    of firms planning agentic AI have mature agent governance.

    Source: Deloitte, January 2026
    60%
    Culture over budget

    of D&A leaders say culture outweighs funding when governance fails.

    Source: Gartner, 2026

    Why Polestar Analytics’ governance audit goes further

    Where most governance audits are today
    • 50 to 80 generic yes/no questions, no maturity scale
    • No agentic AI governance coverage
    • No cloud data governance domain
    • Data ethics buried inside other domains
    • Static PDF reports, no weighted scoring
    • No HIPAA or BCBS 239 overlays
    • No regulatory framework alignment
    • No view of where stakeholders disagree
    • No path to tooling or remediation
    • Single-use reports, no benchmark
    Polestar Analytics governance audit
    • 150+ questions on a 5-point maturity scale, weighted High, Medium, Low
    • A dedicated Agentic & Autonomous AI domain, a market first
    • A purpose-built Cloud Data Governance domain
    • Data Ethics & Fairness as a standalone domain
    • Weighted scoring engine: High 3x, Medium 2x, Low 1x, with domain tiers
    • HIPAA and BCBS 239 sector overlays, 10 questions each
    • Mapped to 13 frameworks, including NIST AI RMF, ISO/IEC 42001, EU AI Act and DAMA
    • A Perception Gap Index that flags where teams disagree
    • Every question mapped to the 1Platform module that fixes it
    • Annual re-audits that build a proprietary industry benchmark

    How we compare

    Vendor / toolQuestionsAgentic AIFrameworksSector overlaysScoring engineMaturity scale
    Collibra Assess~60No3 to 4NoneNoNo
    IBM OpenPages~80Partial4 to 5NonePartialPartial
    OneTrust DG~70No3 to 4GDPR onlyNoNo
    Atlan~50No2 to 3NoneNoNo
    Informatica CDGC~75Partial4 to 5NonePartialPartial
    Polestar Analytics governance audit150+Yes13HIPAA + BCBS 239YesYes
    WHAT IT COVERS

    What Does the Governance Audit Cover?

    15+ domains in four areas, with AI and agentic AI audited as their own domains. Your admin picks the ones you need, from all of them to just five.

    STRATEGYDATARISKAI
    Strategy & Operating Model
    • Strategy & Funding
    • Governance Operating Model
    • Policy, Standards & Control Environment
    • Data Literacy & Change
    Data Foundations
    • Data Quality Management
    • Metadata, Catalog & Glossary
    • Lineage, Traceability & Impact
    • Master & Reference Data Management
    • Architecture, Modeling & Integration
    • KPI Alignment & Trusted Reporting
    • Document & Content Management
    Security, Risk & Compliance
    • Access, Security & Privacy
    • Lifecycle, Storage & Operations
    • Observability & Control Monitoring
    • Regulatory & Compliance Tracking
    • Third-Party & Vendor Data Governance
    AI Governance
    • Analytics & AI Governance
    • Agentic & Autonomous AI Governance

    Audited on their own, so the report doubles as an AI governance gap assessment.

    The audit

    Take the Connected Governance Audit

    18 questions · about 10 minutes

    One question for each governance domain.

    Answer for the whole organization, or for the part you run. Be honest: a 2 you can prove beats a 4 you’d struggle to show an auditor.

    InstantOverall maturity level, no form
    With work emailArea and domain scores, gaps and a 30-60-90 day plan

    The full governance audit goes deeper: 15+ domains, 150+ questions, each domain answered by the SME who owns it.

    MAPPED TO

    Built on the Frameworks That Set the Standard

    Every score speaks the language your auditors and regulators already use, and it's ready for the AI rules still being written.

    DATA
    DAMA-DMBOK

    Data management body of knowledge

    DATA
    DCAM

    EDM Council capability model

    AI
    NIST AI RMF

    AI risk management framework

    AI · REGULATION
    EU AI Act

    Risk tiers and human oversight

    AI · STANDARD
    ISO/IEC 42001

    AI management system standard

    FAQ

    Frequently Asked Questions About Governance Audits

    Still unsure? Talk to our governance team.

    Talk to our team

    A structured review of how well your data and AI governance works today. It runs as an enterprise data governance maturity audit across 15+ domains and 150+ questions, each domain scored against an industry benchmark.

    Your admin picks the domains and assigns each one to the SME who owns it. No one person answers everything.

    Each domain has around 8 to 12 questions, and SMEs answer their own domains in parallel.

    Answers roll up into a score per domain and one level on a five-step data governance maturity model: Initial, Developing, Defined, Managed, Optimized.

    Yes. AI and agentic AI are audited as their own respective domains.

    You get a data governance audit and improvement roadmap. Our experts will walk you through it and build a governance framework that best suits your needs.

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    Talk to our Data Governance Experts

    ankit Rana

    Ankit Rana

    Pre Sale Head

    LinkedIn
    Dennis Suler

    Dennis Suler

    Data Governance Lead

    LinkedIn