... Enterprise AI agents are not eliminating work; they are systematically shifting unresolved complexity to humans. With AI agents still failing roughly two-thirds of the time on complex tasks,1 CIOs must partner with business leaders to redesign exception ownership, decision rights, and human roles across ...
Analyst(s): Helen Poitevin | Shubhangi Vashisth | Deepak Seth
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... client? AI significantly accelerates software engineering productivity and increases business value through fast-paced agentic workflows. To maximize impact, software engineering leaders should adopt agentic AI technologies and practices across the SDLC — from coding and requirements to testing and AI-augmented ...
Analyst(s): Tigran Egiazarov | Jim Scheibmeir | Brad Dayley
... sales demo fails to address three AI disruptions: buyer preference for self-direction, headless and API-led solutions, and the rise of AI agents. Tech CEOs build for the new headless product-led growth or risk slowing their sales cycle and being locked out of the AI-native buying market. Overview Strategic ...
... This Consult the Board survey summary features inputs from 11 Technology Infrastructure Research Board members on approaches and metrics for measuring AI-assisted developer productivity, methods for identifying software development lifecycle (SDLC) bottlenecks, and the most common constraints impacting ...
... Static reference models are useless against AI moving at nanosecond speeds. Stop drawing enterprise architecture (EA) artifacts and start coding guardrails. Everything-as-Code transforms the Head of EA from librarian into the author of the digital laws that prevent agent anarchy and financial ruin. ...
Analyst(s): Duncan Robson | Philip Allega | Fred Ganter | Leo Li
... Access Insights Already a Gartner client? This case study explores how, after deflecting 88% of tickets with an AI chatbot, Twilio used AI training and coaching tools to upskill technical support engineers. Service and support leaders can use insights from Twilio’s approach to guide their workforce transformation ...
... Industrial AI falters when plant teams can’t understand how or why black-box models make recommendations, undermining trust and creating explainability debt. To avoid this, CIOs must embed a trust trifecta: transparency, accountability and explainability across their AI strategy and throughout the life ...
... Tech services leaders are bullishly investing in AI and need a way to quantify the impact of these investments. Tech services leaders should stop relying on isolated productivity measures to justify AI investments and instead use a balanced set of value metrics tied to growth, efficiency, talent, governance ...
... harness agentic AI, most find themselves stuck — struggling with fragmented data, brittle integrations, and immature governance. The real challenge isn’t building smarter agents, but rather the lack of a unified delivery model to overcome these barriers and enable safe, scalable, and efficient AI deployment ...