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Premium Research Aug 2026
... Creating or replacing applications with AI capabilities is not a binary either/or choice. Before replacing legacy systems with applications built via AI code assistants and AI coding agents, heads of applications should use a consistent evaluation process based on Gartner’s seven-category evaluation ...

Analyst(s):   Tad Travis   |   Tristan Iles
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Premium Research Jul 2026
... Maximizing the impact of custom AI solutions hinges on empowering employees to confidently use and oversee AI. Software engineering leaders must prioritize driving adoption alongside technical development, as neglecting it will jeopardize desired outcomes. Insights at a Glance Strategic Planning Assumption ...

Analyst(s):   Chris Meering   |   Nabeeha Ahmed   |   Deacon D.K Wan   |   Justin Tung
Research Sep 2026
... Access Insights Already a Gartner client? AI initiatives test future-state architectures faster and harder than other domains do. Centrally controlled AI governance creates severe bottlenecks. Correctly mapping AI initiatives onto a three-tiered future-state architecture resolves these challenges without ...

Analyst(s):   Marcus Blosch
Research Oct 2026
... Access Insights Already a Gartner client? AI tools can remediate technical debt but also create new AI-specific debt. Software engineering teams must track how AI tools impact both remediation and debt creation to maintain a balanced technical debt ledger. Insights at a Glance Impact Actions Cautions ...

Analyst(s):   Howard Dodd
Premium Research Aug 2026
... Gartner First Takes Fresh insights on emerging trends IT procurement leaders must reduce exposure to AI supplier disruptions by mitigating concentration risk and preparing rapid migration plans. A recent U.S. federal court decision appears to restore a path to doing business with Anthropic, but broader ...

Analyst(s):   Charity Hooper   |   Dawn Singer   |   Elisabeth Glass
Premium Research Sep 2026
... For tech CEOs, the path to agentic AI product success is targeting exception-heavy business processes with bounded, human-in-the-loop agents that eliminate the constant manual remediation these workflows generate. This enables customers to scale these workflows infinitely at near-zero marginal cost. ...

Analyst(s):   Mark Wesker   |   Elisabeth Torres-Schulte
Research Oct 2026
... Access Insights Already a Gartner client? Optimizing AI coding agent costs requires reducing token waste within engineering workflows rather than relying on vendor negotiations and spending limits. Software engineering leaders should use token reduction tools as a quick win within a broader token optimization ...

Analyst(s):   Alec Pallin   |   Dilisha Menon   |   Neha Agarwal
Premium Research Oct 2026
... supply chain organizations have visibility into performance outcomes, but not the decentralized decisions that create them. This research explores how AI-enabled decision visibility helps supply chain strategy leaders identify cross-functional trade-offs, improve alignment and detect strategic risks before ...

Analyst(s):   Ankur Mehta
Research Oct 2026
... Access Insights Already a Gartner client? The gap between AI investment and realized value remains stubbornly wide. CIOs can use the Reimagine Workshop to bring business and technology teams together to rethink how work is executed and where value is created, uncovering opportunities that go beyond productivity ...

Analyst(s):   Janelle Hill   |   Ayca Moseley   |   Hung LeHong   |   Alicia Mullery   |   Kabeh Vaziri   |   Eyad Tachwali   |   Nick Reddall   |   Caroline Hewings
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