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Research May 2026
... Already a Gartner client? Agentic AI can transform IT operating environments into dynamic ecosystems, and also threaten I&O with cascading system failures, security breaches, shadow AI operations and cost overruns. Heads of I&O must apply operational governance to ensure AI agents optimize value, cost, risk ...

Analyst(s):   Cameron Haight   |   Mark Margevicius   |   George Spafford   |   Daniel Betts   |   Ted Ernst   |   Joe Antelmi   |   Roger Williams   |   Chris Saunderson   |   Ashish Banerjee
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Research Jul 2026
... Gartner client? More CRM implementations include AI agents, agentic platforms and use AI-supported development tools than before. Organizations are seeking new guidance for CRM program execution, particularly in the area of building effective CRM and AI governance, managing service providers, and transitioning ...

Analyst(s):   Olive Huang
Research Jun 2026
... Access Insights Already a Gartner client? As AI becomes the primary interface between sales and information, product marketing leaders must rearchitect sales enablement content for AI retrieval and activation. Those who build AI-ready content will reach sellers when it matters most. Those who don’t will ...

Analyst(s):   Liz Pellegrini
Research Jul 2026
... a Gartner client? Uncontrolled AI token use drives cost volatility. This research extends beyond pricing optimization and traditional FinOps to define a control architecture and operating model in three steps. Heads of IT procurement should adopt these steps to govern AI consumption, improve cost predictability ...

Analyst(s):   Rajib Gupta   |   Sundar Viswanathan
Research Jul 2026
... Access Insights Already a Gartner client? To speed AI adoption at scale throughout finance, CFOs must tackle impediments including employee skill gaps, mistrust of AI, and entrenched ways of working. CFOs should embed AI learning directly into finance employees’ work, rather than relying on course-based ...

Analyst(s):   Hilary Richards
Premium Research Jun 2026
... AI’s compressed the startup life cycle, cutting the traditional eight- to 10-year journey shaped by slow enterprise sales and manual development. With AI-driven speed, rapid obsolescence, and evolving investor expectations, tech CEOs face a critical decision window for a successful exit in under four ...

Analyst(s):   Mark Wesker   |   Martin Prendergast   |   Peter Havart-Simkin
Research Jul 2026
... Access Insights Already a Gartner client? As frontier AI labs increasingly determine the pace and direction of enterprise AI innovation, CIOs must develop a deliberate engagement strategy. CIOs should move beyond mere model procurement to building deeper engagements that accelerate value creation, shape ...

Analyst(s):   Gunjita Mundeja   |   Melanie Alexander   |   Christian Stephan   |   Arun Chandrasekaran
Research May 2026
... Access Insights Already a Gartner client? The biggest risk in deploying AI agents in finance is autonomy without oversight. CFOs should use their first finance AI agent to test the governance frameworks for future agents and put review, traceability and control systems in place before scaling into high-impact ...

Analyst(s):   Alex Levine   |   Shankar K
Research Jun 2026
... lacking budget, people and strategy for AI rely on vendors as a primary means to achieve their business and technology goals. This research explains how to resist vendor hype and gain value from vendor partnerships with a structured evaluation in line with AI strategy. Insights at a Glance Impact Actions ...

Analyst(s):   Alys Woodward
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