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Premium Research Apr 2026
... AI capabilities are emerging as a key differentiator among HCM suites. For large enterprises, Dayforce, Oracle, SAP SuccessFactors, UKG and Workday are most often considered in HCM suite evaluations. Use this research to compare the strengths and cautions for these vendors’ AI features. Overview Recommendations ...

Analyst(s):   Josie Xing   |   Ranadip Chandra   |   Ron Hanscome   |   Sam Grinter
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Premium Research Mar 2026
... AI agents have potential to help CHROs achieve critical business outcomes, yet many CHROs remain unclear about their full potential. Use this research to learn the fundamentals, navigate vendor hype and facilitate C-suite discussions about AI agents’ enterprise and HR applications. Insights at a Glance ...

Analyst(s):   Eser Rizaoglu   |   Harsh Kundulli   |   Anand Chouksey   |   Stephanie Clement
Premium Research Mar 2026
... B2B CMOs who harness AI for workflow optimization will achieve efficiency goals faster than peers who resist. Evaluate your organization’s state of AI tool enablement for workflow optimization and create a roadmap for achieving full readiness in the future. Insights at a Glance Strategic Planning Assumption ...

Analyst(s):   Michael McCune   |   Amy Jenkins
Premium Research Mar 2026
... Manufacturers need more than AI assistants. They require agentic AI that orchestrates dynamic, cross‑system decisions at scale. CIOs and AI leaders can use these case studies to purposefully negotiate and align strategy, integration platforms and implementation teams, enabling agentic AI to deliver measurable ...

Analyst(s):   Lillian Oyen-Ustad   |   Alexander Hoeppe   |   Sudip Pattanayak
Premium Research Apr 2026
... AI coding agents promise significant productivity gains to software engineering teams, but the full promise can only be realized when AI is applied across the full software development life cycle. This tool enables software engineering leaders to forecast AI-driven productivity gains as they expand AI ...

Analyst(s):   Miriam Colman   |   Alec Pallin   |   Brian Minning
Premium Research Mar 2026
... Traditional IT finance cannot handle AI’s probabilistic nature, risking unpredictable costs and value drift. This tool helps heads of enterprise architecture in partnerships with finance and AI experts track the cost, risk, and value of AI use cases across the AI life cycle to ensure ROI. When to Use ...

Analyst(s):   Andrei Razvan Sachelarescu
Premium Research Mar 2026
... AI alone won’t drive growth. Work must be redesigned around AI to achieve real value. To proactively lead efforts to reshape work, CHROs should partner with leaders to define AI goals, balance human/AI tasks, and embed ongoing redesign capabilities. Insights at a Glance Issue Context Impact Brief More ...

Analyst(s):   Andy Karr   |   Caroline Hewings   |   Mia Garrod
Premium Research Mar 2026
... Gartner First Takes Fresh insights on emerging trends AI‑driven scenario generation uses large-scale data, business drivers and advanced analytics to generate business performance scenarios and associated financial metrics, enabling decision makers to anticipate risks and uncover opportunities in volatile ...

Analyst(s):   Idris Evans   |   Twisha Sharma   |   Matthew Mowrey   |   Ash Mehta   |   Alex Levine
Research Feb 2026
... client? General counsel must navigate a crowded legal AI landscape. Multi-agent applications like Harvey and Legora have emerged as comprehensive solutions for specialized legal workflows. These tools enable departments to experiment with agentic AI workflows to automate tasks and increase efficiency. ...

Analyst(s):   Weston Wicks
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