{"revision":"c10276e953456835cdbb1f3a60d58ae1980be353","document":{"id":19642,"path":"impact/accelerator-and-initiative-list/adopt-ai-governance.md","title":"Adopt AI Governance","bundle":null,"doc_type":null,"release":"australia","body":"\n# Adopt AI Governance\n\nThis Accelerator guides customers through the process of establishing and managing an Artificial Intelligence Management System \\(AIMS\\).\n\n## Accelerator Overview\n\nAdopt 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.\n\n## Package Availability\n\n**Note:** This Accelerator is available for Impact Guided+ \\(Strategic Value add-on\\), Advanced and Total Packages.\n\n## Pre-requisites\n\n-   Customer has identified the necessary stakeholders who can discuss AI governance with confidence.\n-   Customer has a solid understanding of foundational AI governance concepts and vocabulary.\n\n## What You Get\n\n-   **Internal Kickoff Session \\(up to 30 minutes\\)**\n    -   Meet stakeholders\n    -   Outline key roles and responsibilities\n    -   Walk through the order of events\n    -   Align on expectations and address questions\n-   **Introductory Customer Coaching Session \\(up to 1 hour\\)**\n    -   Vocabulary review\n    -   Overview of AIMS purpose\n    -   Discussion of foundational principles\n    -   Orientation on ready-made documentation\n-   **Customer Coaching Sessions \\(up to 10 hours of sessions\\)**\n    -   Answer questions\n    -   Support document modifications\n    -   Provide guidance and insights\n-   **Wrap-up Session \\(up to 30 minutes\\)**\n    -   Review actions taken\n    -   Provide resources for additional information going forward\n    -   Sneak peek at Audit AI Governance – the next offering in the Impact AI Governance Accelerator series\n\n## Requested Customer Resources\n\n<table><thead><tr><th>\n\nCustomer Resource\n\n</th><th>\n\nResponsibilities\n\n</th><th>\n\nRequired\n\n</th><th>\n\nRecommended\n\n</th></tr></thead><tbody><tr><td>\n\nAI COE / Stewards\n\n</td><td>\n\n-   Gain insight into AI Management Systems.\n-   Provide insight into and audit learnings and decisions against existing AI practice.\n-   Adopt learnings into existing processes.\n\n</td><td>\n\n✓\n\n</td><td>\n\n \n\n</td></tr><tr><td>\n\nPlatform Owners\n\n</td><td>\n\n-   Gain insight into AI Management Systems.\n-   Provide insight into and audit learnings and decisions against existing AI practices.\n-   Ensure that all essential AI stakeholders are involved.\n\n</td><td>\n\n✓\n\n</td><td>\n\n \n\n</td></tr><tr><td>\n\nInternal Stakeholders\n\n</td><td>\n\n-   Gain insight into AI Management Systems.\n-   Provide insight into pain points at a more granular level.\n-   Provide insight into principles.\n-   Assist in use case selection.\n-   Identify qualified resources to carry out activities.\n\n</td><td>\n\n✓\n\n</td><td>\n\n \n\n</td></tr><tr><td>\n\nPartner Stakeholders\n\n</td><td>\n\n-   Gain insight into AI Management Systems.\n-   Provide insight into pain points at a more granular level.\n-   Provide insight into principles.\n-   Assist in use case selection.\n\n</td><td>\n\n \n\n</td><td>\n\n✓\n\n</td></tr></tbody>\n</table>## Requested Information/Access\n\n1.  Organization &amp; scope\n    1.  Business context and objectives for AI \\(where value/risk are concentrated\\), geographies served, regulated markets.\n    2.  Desired initial AIMS scope \\(org units, products, services\\) and any out-of-scope areas.\n    3.  Existing management systems/certifications \\(e.g., ISO 27001/27701, SOC 2, QMS\\) we can align to.\n2.  Governance &amp; people\n    1.  Executive sponsor, product owners, risk/compliance, privacy, security, legal, data science/ML, IT ops—names and roles \\(RACI if you have one\\).\n    2.  Existing committees/charters \\(ethics board, model risk committee\\), decision rights, and escalation paths.\n3.  Stakeholders &amp; expectations\n    1.  Internal/external stakeholders \\(customers, regulators, employees, impacted communities\\) and their top expectations/concerns.\n    2.  Any trust/safety commitments already made publicly or contractually.\n4.  Risk &amp; compliance posture\n    1.  Applicable laws/regimes you care about \\(e.g., sectoral rules, state privacy laws, EU AI Act mapping if relevant\\) and current gap analyses.\n    2.  Known AI incidents/near misses, complaints, or audit findings; current risk taxonomy and appetite/tolerances.\n    3.  Frameworks already in play \\(ISO 31000, ISO/IEC 23894, NIST AI RMF\\).\n\n## Exclusions\n\nServiceNow is not responsible for nor guaranteeing any strategic outcomes from this engagement.\n\n"}}