Agentic Framework: Why I'm Worried For People Who Aren't Paying Attention
Why the quiet shift happening right now will reshape how organizations work, and why waiting to understand it is riskier than starting imperfectly.
I’ve been sitting with this for weeks, and I finally decided to write about it.
Not because I have all the answers. But because I’m seeing something happening right now that reminds me of 2015 when everyone dismissed cloud computing, and I can’t shake the feeling that some really smart people are about to be caught off guard.
It’s not that AI is new. You know it’s everywhere. But what’s changing is how AI is working.
A year ago, AI answered questions. You asked, it responded. Helpful, sure. But still waiting for you to ask. Still passive.
Now it’s different. Now AI doesn’t wait. It sees a problem. It makes decisions. It talks to other AI systems. They coordinate. They execute. They report back. All while you’re sleeping.
And here’s what’s getting to me: most people still don’t realize this is already happening at scale.
Let me tell you what I saw that made this real for me.
The Moment Things Clicked
A few weeks ago, I was speaking with the founder of an AI-first compan, an investment opportunity of my usual day-to-day as a VC Investor but this time I saw something.
They deployed multiple AI agents, each with a specific job. One understood customer patterns. Another knew the approval rules. A third could actually execute transactions. A fourth monitored what happened and learned from it.
But here’s the part that got me: these agents weren’t just executing tasks someone told them to do. They were talking to each other. Coordinating. One agent would surface a pattern, another would interpret it, a third would decide what to do about it.
No human orchestrating. No morning standup to assign work. No email saying “can someone look at this?”
The agents saw the work. They talked about it. They did it. They reported back.
When the founder walked into their office the next morning expecting a 30-minute status meeting about what was stuck, everything was already documented. Analyzed. Optimized.
I remember sitting there thinking: This is something fundamentally different.
This isn’t just faster. It’s not just automation. This is a different way of organizing work.
And I realized: most organizations don’t actually understand what’s possible yet. Because they haven’t seen it working.
Why I Think This Matters (And Why You Should Care)
Here’s the thing about breakthrough infrastructure moments: they’re invisible until they’re not.
In 2013, nobody believed cloud would be the foundation of everything. It was seen as risky. Unproven. Something only startups desperate for capital would do.
By 2019, everyone building without cloud was basically already losing. Not in a dramatic way. Just quietly losing. Slower iterations. Higher costs. Less flexibility. You’d wake up three years later and realize your competitors had moved faster than seemed possible.
The same pattern is happening right now with agentic AI.
Most organizations are in the “skeptical but interested” phase. They’re reading about it. Maybe running small pilots. Keeping an eye on things. Waiting to see if it actually works.
But right now, this moment, is when early movers are quietly building something durable. They’re not waiting for perfect. They’re not waiting for maximum certainty.
They’re learning as they go.
And the organizations that figure this out first, not because they’re smarter, but because they started, will have built something their competitors literally cannot catch up to. Not in 6 months. Maybe not even in 18 months.
That’s not hype. That’s how infrastructure migrations work.
The Frameworks (And Why Picking One Matters)
I don’t want to get too in-the-weeds here, but this part actually matters.
Right now, three main frameworks are emerging as the foundation that organizations are standardizing on:
