... 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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... Access Insights Already a Gartner client? To realize AI’s potential to defend and strengthen brands, CMOs must move their teams from rendering branded assets to applying brand positioning context across content operations. Use feedback from public AI systems to guide brand-aware agents to reinforce desired ...
... Study Reveals a Continuing AI Buying Divide AI deals are increasingly at risk as buying teams struggle with unhealthy conflict and inconsistent leadership. July 27, 2026 Conflict and leadership gaps in tech buying threaten AI investments As organizations rush to invest inAI, many buying teams are struggling ...
... 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 ...
... 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 ...
... 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 ...
... 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
... 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 ...
... 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