... This tool serves as a guide for leaders responsible for AI, helping them shape or refine their AI policies (e.g., ML, GenAI and agentic AI). It supports organizations in developing clear, enforceable policies aligned across technical, legal, and business stakeholders. The tool addresses both technical ...
Analyst(s): Stuart Strome | Mikael Sacco | Lauren Kornutick | JC Martel, PhD | Justin Tung
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... client? AI pilots succeed every day. The value gap is not a technology problem, it’s accountability. When AI scales beyond pilots, informal support fades and CIOs face the fallout. This note gives CIOs a three-step playbook: Name It. Prove It. Own It to build shared C-suite accountability and turn AI pilots ...
Analyst(s): Helen Poitevin | Andrei Razvan Sachelarescu | Gabriela Vogel | Lori Blickensderfer | Frances Karamouzis | Sneha Ayyar
... securely enable enterprise adoption of AI and to defend against AI-fueled attacks, CISOs must create a business-relevant AI cybersecurity program. Start with a solid foundation for AI cybersecurity by applying core cyber controls to AI and then expanding into AI-specific controls. Analysis Research Highlights ...
... Takes Fresh insights on emerging trends AI‑enabled SOX testing automates evidence retrieval, analyzes transactions for anomalies, and accelerates control execution. CFOs should reference this implementation guide as they assess, pilot and operationalize this AI use case. Gartner Recommended Reading ...
Analyst(s): Twisha Sharma | Noah Gardner | Ash Mehta | Alex Levine | David Condon
... AI-driven spend analysis automates data cleansing and classification to surface hidden savings and compliance risks. CFOs should reference this implementation guide to support leaders and teams as they assess, pilot, and operationalize this AI use case. Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Twisha Sharma | Philip Hechter | Ash Mehta | Alex Levine | Idris Evans
... This research helps CSCOs understand and assess their supply chain’s AI maturity. We describe a conceptual framework with five AI maturity stages — predigital, digital, AI-enhanced, AI-embedded, and AI-native — and lay out actions and timelines to enable progression from one maturity stage to the next ...
... Agentic systems mark a shift where AI autonomously generates and executes untrusted code in a shared runtime, introducing severe risks. This note examines key considerations and trade-offs in building or buying sandboxed agentic AI infrastructure. Overview Comparison Analysis Guidance Gartner Recommended ...
... AI-enabled churn analysis identifies customers most at risk of nonrenewal and quantifies revenue at risk so finance teams can improve planning and reduce surprise revenue loss. CFOs should reference this implementation guide as they assess, pilot and operationalize this AI use case. Gartner Recommended ...
Analyst(s): Regina Crowder | Idris Evans | Twisha Sharma | Alex Levine | Ash Mehta
... Gartner client? AI literacy is key to successfully executing on your AI strategy and keeping users compliant with AI governance programs. Midsize enterprise or resource-challenged CIOs can use these strategies to set up successful AI literacy programs for business and IT to deliver value from AI. Insights ...