09/28/2026
Did you know 40% of enterprise applications are expected to include a built-in AI agent by the end of 2026? That's according to Gartner, and it's up from less than 5% just a year earlier.
Here's the catch. Gartner also predicts that 40% of agentic AI projects will be scrapped by 2027. Not because the technology doesn't work, but because most organizations roll it out without the governance and oversight it actually needs.
We see this pattern often. A company turns on an AI agent to handle lead qualification or renewals. It looks great in the first demo. A few months later, it's quietly switched off because nobody defined what the agent should and shouldn't decide on its own, and nobody was checking its work.
An AI agent isn't a new hire that uses judgment the way a person would. It will act confidently even on bad information unless someone builds in clear boundaries.
Before your business adds an AI agent to any part of the revenue process, ask three questions: who reviews its decisions, what happens when it hits something unfamiliar, and how reliable is the data it's working from.
The businesses that win with agentic AI will be the ones that treat it as a redesign of how work gets done, not just a new tool bolted onto the old process.