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Premium Research Sep 2026
... Heads of ERM rated AI strategy miscalculation as a top emerging risk for 3Q26. To gauge organizational exposure, they should examine how likely a failure may be and what the costs are if it were to occur. And that means considering the assumptions, decisions and execution risks of the strategy. Insights ...

Analyst(s):   Steve Shapiro
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Premium Research Sep 2026
... As organizations redesign work and scale AI-driven initiatives, HRBPs run the risk of scaling the wrong talent interventions by relying on familiar workforce symptoms. Before scaling talent interventions, HRBPs must validate their business challenge diagnosis and assess BU readiness for scaling interventions ...

Analyst(s):   Kirti Singhal
Research Sep 2026
... Access Insights Already a Gartner client? AI doomsday fears may seem sensationalized, but the underlying supply chain risks are real. Providers that prepare for model disruption through sensible AI caution can protect delivery, strengthen client confidence and turn uncertainty into a profitable resilience ...

Analyst(s):   Craig Lowery
Premium Research Sep 2026
... As AI reshapes the regulatory intelligence market, chief compliance officers are under growing pressure to evaluate AI-enabled solutions to improve the speed of monitoring, applicability assessment and regulatory change management. This research identifies the highest-value use cases, key readiness requirements ...

Analyst(s):   Lexi VerVelde
Premium Research Sep 2026
... Unstructured data quality issues — such as fragmented metadata, inconsistent semantics, ROT, and data/model drift — all limit AI scalability. Address quality issues by improving governance, enriching metadata, early assessment of source quality, reusing existing content practices and strengthening cross-functional ...

Analyst(s):   Jason Medd
Premium Research Sep 2026
... Agentic AI is transforming machine customers into autonomous actors that can transact and make financial decisions. To stay competitive in the market, customer service leaders must lay the foundation to enable machine customer interactions. Insights at a Glance Strategic Planning Assumption Issue Impact ...

Analyst(s):   Uma Challa
Premium Research Sep 2026
... Sovereign AI is shifting from data residency to control of compute capacity, creating geopolitical and infrastructure risks for enterprises. Heads of I&O must plan sovereign cloud and AI factory strategies to secure GPUs, power and networking while managing cost and compliance. Insights at a Glance ...

Analyst(s):   Enrique Castera
Premium Research Sep 2026
... analysis paralysis when supporting AI agent initiatives, identity architects must adopt a rigorous framework that defines AI agent types, authority, trust boundaries, gateways, target systems, and lastly authorization processes to establish secure, scalable IAM controls for AI agents. Overview Problem Statement ...

Analyst(s):   Erik Wahlstrom
Premium Research Sep 2026
... Organizations need to reevaluate manager spans and capacity required postwork and workforce shifts driven by AI-led or other business transformations. HRBPs can use this tool to make optimal span decisions based on manager expectations, current spans, and management complexity, helping drive renewed ...

Analyst(s):   Simrat Kaur
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