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Premium Research Sep 2026
... However, AI and modern applications pose a vital question: Should organizations refine the traditional close or redesign the process to make it obsolete? Insights at a Glance Strategic Planning Assumption What’s the Problem With the Close? Why Transition to a Continuous Close Now? How AI Is Changing ...

Analyst(s):   David Condon
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Research Oct 2026
... As organizations deploy AI agents, compliance guidance designed for human judgment becomes ineffective. Agents require explicit rules, decision logic, escalation triggers, and approval thresholds. Compliance leaders must help developers encode compliance requirements into AI systems from the start. ...

Analyst(s):   April Lawrence
Premium Research Oct 2026
... Heads of I&O rely on AI capacity that community opposition now delays. AI data centers are not inherently bad; their impact depends on the terms they are built on. Use this research to weigh strains and gains, reduce delivery risk and engage stakeholders before those terms are set. Insights at a Glance ...

Analyst(s):   Mark Jaggers   |   Henrique Cecci   |   Paul Wang   |   Autumn Stanish
Premium Research May 2025
... As AI continues to transform the financial services industry, interest in AI agents and agentic AI is increasingly growing among banks, insurers, and investment services organizations. Finding the right roles and use cases for AI agents is essential in developing an AI agent strategy and roadmap. More ...

Analyst(s):   Kimberly Harris-Ferrante   |   Peter Ryan   |   Jasleen Kaur Sindhu   |   Priyanka Shukla
Premium Research Sep 2026
... This analysis evaluates 20 current oil and gas use cases for agentic AI. Oil and gas CIOs can use this assessment to inform an agentic AI strategy that improves operational resilience and delivers clear business value by identifying the most feasible and valuable use cases for their enterprise. Overview ...

Analyst(s):   Ricardo Chang   |   Simon Cushing
Research Oct 2026
... engineering leaders must apply FinOps to custom-built AI agents to govern total cost, value and autonomy. Assess fit and unit economics before the build, instrument the total cost of ownership before the deployment, and enforce runtime economics through AI agent operations. Insights at a Glance Strategic ...

Analyst(s):   Deacon D.K Wan   |   Tigran Egiazarov   |   Wei Jin
Research Oct 2026
... Access Insights Already a Gartner client? Individual and functional AI adoption can improve productivity without transforming marketing performance. CMOs should direct the redesign of consequential, cross-functional workflows by sponsoring workshops using our guidance to resolve unclear ownership, informal ...

Analyst(s):   Amy Abatangle
Research Oct 2026
... Access Insights Already a Gartner client? Most marketing organizations deploy AI agents through human-review-centric workflows that preserve control but prevent autonomy from scaling. CMOs should stop asking whether AI agents can be trusted and instead ask whether their organizations have built systems ...

Analyst(s):   Richard Tso
Research Oct 2026
... Organizations struggle to control AI spending because visibility alone does not change behavior when accountability is unclear or unenforced. Software engineering leaders must establish clear decision rights, cost ownership, and governance authority, so those driving AI consumption are accountable for ...

Analyst(s):   Aaron Harrison
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