Morning all, real John here, I got some new decks from art of play so let's see, Jack of hearts, if you know you know. Ok moving on, the release of Astra is changing people's perception again but agent workflows are still failing. That's this week. You know the game, Internet is going to change everything, we need to move evening to the client, we need to move everything to the cloud, six sigma will improve everything, we are an agile shop, we implement the SAFE methodology, we are an AI forward company, we like bleeding edge technology, blah blah blah. Yet you still fail. Performative theater and organizational slide decks don't improve things they just keep you busy and then your competitor crushes you. Ok let's get into it.
Gartner dropped a number this month that should have been a headline everywhere and instead got buried under another round of AGI press releases: more than 40% of agentic AI projects will fail by 2027. Not "underperform." Not "need iteration." Fail.
I read that and laughed, then got annoyed, then laughed again. Because I've watched this exact failure rate before, wearing a different costume. Digital transformation. Agile transformation. Cloud migration. Big Data (remember when that was capitalized like a proper noun?). Every single one of these had its own version of the 40% club, and every single postmortem said some version of "the technology wasn't ready." The technology was fine. The technology is always fine. What wasn't ready was the org chart pretending a rebrand counts as a strategy.
Nobody's Agent Failed. Their Plan Did.
Here's what actually happens inside that 40%. Somebody in a leadership meeting says "we need an AI agent strategy" the way people used to say "we need a digital strategy," which is to say: as a vibe, not a plan. Nobody defines what the agent is actually supposed to own. Nobody decides what happens when it's wrong. Nobody builds the review loop before the agent starts making decisions that matter. Then six months later there's a slide deck explaining why "the AI didn't deliver ROI," and the AI gets blamed for a scoping failure that would have killed a junior developer's first project too.
I built Cash Critters for about fifty bucks a month. One person, no committee, no six-week alignment offsite to agree on what "done" means. I knew exactly what it needed to do because I decided that before I opened a single tool. That's not a humblebrag, it's the entire point. The tools didn't get easier because I'm special. They got easier because I removed every layer of organizational theater that usually sits between an idea and a shipped thing. Enterprises don't have that luxury by default, they have to build it on purpose, and most of them skip that part because it's less fun than announcing a strategy.
The uncomfortable truth in the Gartner number is that agentic AI didn't introduce a new failure mode. It just moved faster into an old one. When you used to plan poorly, you found out you were wrong in eighteen months, after a launch that quietly underwhelmed everyone. Now an under-scoped agent finds out it's wrong in eighteen minutes, at production scale, in front of a customer. The technology got faster. The discipline didn't catch up. That gap is the entire 40%.
What Actually Separates the 60% From the 40%
The teams that aren't going to be in that failure statistic aren't smarter and they don't have better models. They just did the boring work first.
They picked one narrow, verifiable task for the agent, not "customer support" as a category but "resolve refund requests under $50."
They decided upfront what a wrong answer costs, and built the review step before the agent shipped anything to a real user.
They measured something specific within weeks, not a quarter, so they knew fast whether they were in the 40% or the 60%.
They treated the agent like a new hire with no institutional judgment yet, because that's exactly what it is.
None of that requires a frontier model. It requires someone in the room willing to say "what does this actually need to do" before anyone says "what should we call this initiative."
Go Build the Boring Part First
I get why nobody wants to hear this. "Scope your agent narrowly and build a review loop" doesn't fit on a keynote slide next to "we've entered the agentic era." But the org that skips the boring part is the org that ends up as a Gartner statistic, and the org that does the boring part is the one that gets to keep building while everyone else is writing a postmortem about a technology that was never actually the problem.
Pick the smallest real task you can hand an agent this week. Define what wrong looks like before you find out the hard way. Ship it, watch it, and let the data tell you if you're in the 40% or not. That's the whole strategy. It always was.
Go build something amazing.
John Mann is the founder of Startups and Code LLC, a software engineering executive, and the guy who built Cash Critters for $50/month because constraints are a feature, not a bug. Subscribe for weekly takes on AI, startups, and building things that matter.