AI Data Governance Services | Enterprise Data & AI Governance
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    Build Trusted Data. Govern AI with Confidence.

    Bring AI into governance workflows to streamline policy creation, improve data quality, and establish the controls needed for trusted data and responsible AI.

    AI data governance platform connecting lineage, quality, access controls and audit across a global data network

    Trusted by consumer brands

    Perfetti Van Melle Bacardi Diageo H&M Delta Galil Alo Reckitt Zydus Wellness Panasonic Connect Whirlpool

    WHAT IS CHANGING IN AI & DATA GOVERNANCE?

    Governance is evolving beyond data to AI-driven decisions

    97%

    Organizations have AI use cases running in production.

    62%

    Governance teams focus their controls on the data layer, highlighting the need to extend oversight to AI models and applications.

    10%

    of organizations have implemented governance tools for AI agents.

    Sources: 1, 2 & 3.BARC, The State of Data and AI Governance, 2026

    Use cases

    Where do your data and AI governance gaps lie?

    Stop unreliable data from undermining business decisions

    Profile priority data sources, identify quality issues and define rules, thresholds and scorecards to help teams establish trusted data for analytics and AI.

    Data Quality & ObservabilityFoundation Studio

    Data quality

    Know what your data means and where it comes from

    Improve catalog coverage, establish approved business definitions and trace data to its source so teams and AI applications can use data with greater confidence.

    Data Governance Operating Model

    Catalog and lineage

    Bring consistency to critical business data

    Address recurring customer and product data issues through master data management, helping stewards improve consistency across business records.

    Master Data Management

    Master data management

    Identify sensitive data before it reaches AI workflows.

    Classify sensitive data, establish access and classification policies, and identify where additional controls are needed before data is exposed to RAG pipelines or AI agents.

    Compliance Gap Assessment

    Privacy and security

    Keep AI decisions controlled, traceable and accountable.

    Establish risk-based approval gates, evaluation standards and human oversight across the AI lifecycle. Document models and agents, monitor AI performance, and maintain audit trails to make AI decisions and actions traceable.

    Agentic AI Readiness AssessmentAgentic AI Governance

    AI governance and responsible AI

    The path

    Identify gaps, Prioritise governance actions.

    1. DiscoverMap data and AI
    2. AccessIdentify gaps and risks
    3. PrioritiseDefine next steps

    The data foundation for AI & data governance

    What does Polestar Analytics do for AI & data governance?

    We bring together data governance and AI controls to help organisations build trusted data, manage risk and enable responsible AI at scale.

    Studio AppsPulse apps & Prism
    AI TransformationAI Services

    Foundation Studio Real Estate CPG Retail Pharma & LS Capital Markets Private Equity AI-led Planning AI-Ready Data Decision Intel Agentic AI App Modernization AI Cloud & Infra AI Consulting ML & Data Science AI Governance Migration Studio Finops Studio Prism Pulse apps

    Governance that moves faster, with the right foundations in place

    Foundation Studio

    3x faster

    to measured pilot results

    • Govern and modernize data foundations
    • Improve data quality and trust
    • Prepare data for analytics and AI

    MDM Studio

    4 core capabilities

    pre-built for mastering and managing trusted records

    • Golden records & hierarchies
    • Stewardship queues & approvals
    • Audit trail & publish-back
    • Matching & identity resolution
    • Survivorship & trust rules

    GRC Pulse

    100% traceability

    Continuous control assurance

    • Automated control testing & breach detection
    • AI-powered risk and evidence-gap detection
    • Audit-ready evidence and action trails

    Making data work forfaster catalog processingtrusted, SLA-driven reporting

    Woman using a tablet with data dashboards overlaid

    Standardizing product data to scale catalog operations

    Leading E-Comm & Fintech Company

    From fragmented data to unified reporting

    Read the case study →
    • 3 minCatalog processing time, down from 30 minutes
    • 50M+Orders received per month
    • Standardized DataConsistent product formats and validation workflows
    Contact centre agent with a headset working at a computer

    Improving Data Governance and SLA Visibility for a Global BPO Leader

    Global BPO Giant

    From fragmented data to unified reporting

    Read the case study →
    • 50%Faster Analysis on specific reports generated twice as fast.
    • 80%Faster SLA Reporting enhanced planning accuracy by 30%.
    • Better GovernanceImproved data consistency and visibility for reporting.

    Why Polestar Analytics as your partner for AI & data governance?

    We don’t ship and forget

    We stay after go-live: every decision gets an insight, an owner, an action and an outcome.

    Discover, Assess, Validate, Execute: four connected steps
    • Business-first

      Governance aligned with business decisions and risks.

    • Client-controlled AI

      Runs in your tenant with approved models and sandboxed testing.

    • Platform-agnostic

      Works with Unity Catalog, Microsoft Purview and Snowflake Horizon.

    • Built for adoption

      Policies, certified glossary, quality rules and adoption tracking.

    Trusted partnerships

    Anaplan Intelligence Trusted AI Partner
    Databricks Brickbuilder Silver Partner
    Microsoft Managed Partner
    Google CloudPartner
    Amazon Web ServicesPartner
    SnowflakePartner

    Latest AI data governance insights

    data engineering use cases
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    Azure Data Lake
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    guide enterprise data warehouse
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    FAQ

    Questions data and AI leaders ask

    Establish clear data ownership, quality rules, and consistent definitions to create trusted, decision-ready data.

    Build a governed data foundation with reliable data, clear lineage, and defined access controls to support AI initiatives.

    Apply risk-based approvals, human oversight, model evaluation, and audit trails across the AI lifecycle.

    Define policies, assign ownership, and maintain traceable evidence of controls, decisions, and remediation actions.

    See where your data and AI need governance

    Bring one challenge, and we’ll show you what needs to change.

    Fill the form

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    Talk to our Experts

    Saurabh Singh

    Saurabh Singh

    Senior Vice President

    LinkedIn
    Ankur Sharma

    Ankur Sharma

    Assistant Vice President

    LinkedIn