... performance through smart digital investments By 2026, 50% of software engineering leaders in enterprise companies will use product-centric delivery for all development initiatives, up from 15% today. By 2027, generative design AI tools will automate 70% of the design effort for new web and mobile apps. High-quality ...
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... organizations are moving beyond experimentation to operationalize AI, intelligent automation, and digital ecosystems that deliver measurable business outcomes. Analysis of 68 innovation submissions from 44 organizations reveals that AI has become a foundational capability for driving margin improvement ...
... Access Insights Already a Gartner client? Loop engineering will redefine agentic AI offerings, as enterprises demand repeatable, governed task execution over broad autonomy. Product leaders must apply loop engineering to design explicit, composable agent loops with controls, validation and metrics that ...
... Access Insights Already a Gartner client? A record of an AI’s internal reasoning and external actions is no longer enough to secure agentic AI trust. To drive enterprise adoption and prevent business value loss, product leaders must align the agentic AI agenda to the user’s goals to mandate absolute loyalty ...
... Fifty-nine percent of customer service teams will pursue agentic AIin the next 12 months. Those exploring the technology will find a fragmented market. Choosing the wrong route risks agent sprawl, vendor lock-in and rising costs. Service leaders should use this note to select the right route for their ...
Analyst(s): Brett Overbey | Kim Hedlin | Daniel O'Sullivan
... Gartner client? We told the board we were ready for AI. In reality, our RAG still treats a 2014 draft budget and last week’s authorized change to the incident response policy as equally valid. That realization was the moment we stopped hiding our data hoard in the cloud and started surviving the RAG-fueled ...
... Anaconda’s acquisition of Kilo Code as the software company’s push into AI engineering, but they should also recognize it doesn’t guarantee success. Kilo Code’s limited enterprise mind share leaves Anaconda to prove its value in a fiercely competitive market. Overview Analysis Gartner Recommended Reading ...
... Access Insights Already a Gartner client? Continuous improvement in IT is essential as AI increases pressure to enhance throughput, support and value. CIOs must build a culture where improving work is expected, surfacing issues is safe, and addressing everyday friction is actively encouraged. Insights ...
... The established vendors in this emerging market deliver the capabilities needed to build production-ready AI agents, but not all platforms provide the keys to optimize agents for every organization. Software engineering leaders should choose the vendor that supports the architecture they want to build ...
Analyst(s): Justin Tung | Shiva Varma | Keith Guttridge