Adopt AI Governance

  • Freigeben Version: Australia
  • Aktualisiert 12. März 2026
  • 2 Minuten Lesedauer

    • This accelerator guides customers through the process of establishing and managing an Artificial Intelligence Management System (AIMS).

    Accelerator Overview

    Adopt AI Governance builds on the Foundations of AI Governance accelerator by providing Impact customers with ready-made AIMS materials and collaborating with them to tailor these assets to their specific requirements. This offering focuses on helping customers make AI governance practices operational, in alignment with ISO/IEC 42001, removing common barriers to compliance through expert guidance. By the end of the engagement, customers have a customized, actionable governance framework to help them successfully adopt AI governance.

    Hinweis:
    This Accelerator is available for Impact Guided+ (Strategic Value add-on), Advanced and Total Packages.

    Pre-requisites

    • Customer has identified the necessary stakeholders who can discuss AI governance with confidence.
    • Customer has a solid understanding of foundational AI governance concepts and vocabulary.

    What You Get

    Internal Kickoff Session (up to 30 minutes)
    • Meet stakeholders
    • Outline key roles and responsibilities
    • Walk through the order of events
    • Align on expectations and address questions
    Introductory Customer Coaching Session (up to 1 hour)
    • Vocabulary review
    • Overview of AIMS purpose
    • Discussion of foundational principles
    • Orientation on ready-made documentation
    Customer Coaching Sessions (up to 5 hours of sessions)
    • Answer questions
    • Support document modifications
    • Provide guidance and insights
    Wrap-up Session (up to 30 minutes)
    • Review actions taken
    • Provide resources for additional information going forward
    • Sneak peek at Audit AI Governance – the next offering in the Impact AI Governance Accelerator series

    Requested Customer Resources

    Tabelle : 1. Customer resource and responsibilities
    Customer Resource Responsibilities Required Recommended
    AI COE / Stewards
    • Gain insight into AI Management Systems.
    • Provide insight into and audit learnings and decisions against existing AI practice.
    • Adopt learnings into existing processes.
    		 ✓
    Platform Owners
    • Gain insight into AI Management Systems.
    • Provide insight into and audit learnings and decisions against existing AI practices.
    • Ensure that all essential AI stakeholders are involved.
    		 ✓
    Internal Stakeholders
    • Gain insight into AI Management Systems.
    • Provide insight into pain points at a more granular level.
    • Provide insight into principles.
    • Assist in use case selection.
    • Identify qualified resources to carry out activities.
    		 ✓
    Partner Stakeholders
    • Gain insight into AI Management Systems.
    • Provide insight into pain points at a more granular level.
    • Provide insight into principles.
    • Assist in use case selection.
    		 ✓

    Requested Information/Access

    1. Organization & scope
      1. Business context and objectives for AI (where value/risk are concentrated), geographies served, regulated markets.
      2. Desired initial AIMS scope (org units, products, services) and any out-of-scope areas.
      3. Existing management systems/certifications (e.g., ISO 27001/27701, SOC 2, QMS) we can align to.
    2. Governance & people
      1. Executive sponsor, product owners, risk/compliance, privacy, security, legal, data science/ML, IT ops—names and roles (RACI if you have one).
      2. Existing committees/charters (ethics board, model risk committee), decision rights, and escalation paths.
    3. Stakeholders & expectations
      1. Internal/external stakeholders (customers, regulators, employees, impacted communities) and their top expectations/concerns.
      2. Any trust/safety commitments already made publicly or contractually.
    4. Risk & compliance posture
      1. Applicable laws/regimes you care about (e.g., sectoral rules, state privacy laws, EU AI Act mapping if relevant) and current gap analyses.
      2. Known AI incidents/near misses, complaints, or audit findings; current risk taxonomy and appetite/tolerances.
      3. Frameworks already in play (ISO 31000, ISO/IEC 23894, NIST AI RMF).

    Exclusions

    ServiceNow is not responsible for nor guaranteeing any strategic outcomes from this engagement.