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Research May 2026
... Gartner client? Generative and agentic AI are reshaping product management. AI-native disruptors are winning business by prioritizing learning velocity over feature delivery. Chief product officers who do not rewire their AI product life cycle to compete against AI-native vendors will fail amid market ...

Analyst(s):   Omar Ansari   |   Jim Hare   |   Clifton Gilley
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Premium Research Jul 2026
... rely on handshakes and consensus to build AI trust will stall adoption and add to AI resistance, even if the technology is sound. Trust is now a hard skill. Only those who engineer challenge, transparency, and shared accountability will scale AI and enable true AI business value. Insights at a Glance Issue ...

Analyst(s):   Julia McDowell   |   Christie Struckman   |   Madelin Santana   |   Kevin Smith
Premium Research Jun 2026
... AI is improving isolated finance tasks, but most CFOs are not seeing corresponding changes in how finance creates value. To turn AI progress into structural impact, CFOs must redesign roles, expand practical AI use across the function, and build the shared foundations that allow AI gains to scale. Insights ...

Analyst(s):   Shankar K
Premium Research Jun 2026
... Behavior, decision paths and workflows of AI agents change due to data, context, prompts and adaptive learning. Software engineers must control agent actions, evaluate outcomes and convert failures into safeguards to ensure reliable, predictable production use of agentic systems. Overview Analysis Recommendations ...

Analyst(s):   Sushant Singhal
Premium Research May 2026
... Reliability is a core challenge for AI agent enterprise adoption. Current AI agents are commonly built on top of LLMs whose performance varies unpredictably across tasks. However, AI leaders can improve reliability at the system level by controlling their AI agents’ scope and level of autonomy, setting ...

Analyst(s):   Gary Olliffe   |   Tong Zhang   |   Birgi Tamersoy   |   Erick Brethenoux   |   Ben Yan   |   Leinar Ramos   |   Jitendra Subramanyam   |   Pieter den Hamer
Premium Research May 2026
... by AI, require a more employee‑centric change management approach that enables smaller, manageable behavior shifts rather than big change mandates. Insights at a Glance AI Stretches Finance Employees’ Limited Capacity for Change Slow AI Adoption Pushes the Business Away From Finance Successful AI Change ...

Analyst(s):   Marco D'Ascoli
Premium Research Jul 2026
... RAG when they apply a one-size-fits-all architecture to every query. RAG architectures should scale with query complexity, progressively introducing AI agents only when retrieval alone cannot support the reasoning and decision-making demands of the task. Overview Analysis Recommendations Conclusion ...

Analyst(s):   Raúl Arrabales
Premium Research May 2026
... stuck in a productivity paradox, with ever-increasing investments in talent, tools and processes delivering stubbornly flat returns. CSOs should leverage AI to break systemic constraints and drive new levels of sales productivity. Insights at a Glance Strategic Planning Assumptions Issue Impact More Detail ...

Analyst(s):   Dan Gottlieb   |   George Tobias   |   Betsy Gregory-Hosler
Premium Research Jun 2026
... Robust identity and access management for AI agents is still emerging. Identity and access management architects must leverage best practices for implementing large-language-model-based AI agent authentication, authorization and accountability to enable secure operations. Overview Analysis Guidance ...

Analyst(s):   Paul Rabinovich
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