One of my early hypotheses about agentic AI was that it accelerates you to the real crux of the problem. Past the boilerplate, past the setup, past the scaffolding, straight to the part that actually requires thinking. I still believe that. But I missed what happens next.
When you get to the crux faster, you need other people sooner.
We’re talking more. Across teams, across orgs. Not because anyone mandated collaboration. Because the tools that do things for us are somehow making us do things together more than we did without them.
The velocity broke the old channels
Before agentic AI, the space between “I noticed a problem” and “someone is working on it” was filled with process. You logged a ticket. You waited for triage. You got a meeting on the calendar. You wrote up your thoughts in an email. You presented in a review. Each step existed because building was expensive and you needed to justify the investment before anyone picked up the work.
When building becomes fast, those channels feel like friction. Why log a ticket when you can build a prototype in the time it takes to write the description? Why wait for the Thursday meeting when you can show something now? Why send an email explaining what you mean when you can send a link to a working version?
The velocity didn’t just make building faster. It made the old coordination rituals feel absurdly slow by comparison. So people skip them. Not out of rebellion. Out of impatience. They have something to show and they want to show it now.
High-fidelity assets
Here’s what changed about the showing. The things people create with these tools aren’t sketches or mockups or bullet points. They’re working software. A support lead doesn’t describe the pattern she noticed in tickets. She builds a tool that demonstrates it. An engineer doesn’t write up a proposal for a dashboard. He builds the dashboard. A product manager doesn’t spec a feature. She builds a prototype that does the thing.
These assets are high-definition. You can react to them immediately. You don’t need a meeting to “align on what we mean” because the working version is what we mean. The conversation starts at the heart of the problem, not three abstraction layers above it.
That’s the difference. Before, most of the work between identifying a problem and solving it was translation. Turning an observation into a ticket, a ticket into a spec, a spec into a design, a design into code. Each translation lost fidelity. Each handoff introduced delay. By the time you got to the actual decision point, you’d spent weeks just getting everyone to look at the same thing.
Now you skip to the decision point. Someone builds a high-fidelity version of what they’re thinking, walks over (or posts it in Slack), and says “what do you think?” The conversation that follows is the real work. And it starts almost immediately.
The crux is where you need people
This is the part I should have predicted but didn’t fully connect. If the tools accelerate you past the busywork to the crux of the problem, and the crux is where real problem-solving happens, then the tools are accelerating you to the moment where you need other humans most.
The busywork was a buffer. It kept people apart. Not deliberately, but structurally. You were too busy writing specs to have the conversation the spec was supposed to enable. You were too busy estimating tickets to talk about whether the ticket was even the right thing to build. The paper pushing between “here’s a problem” and “let’s solve it together” was so thick that most problems never made it through.
Now there’s almost nothing between those two moments. Someone sees a problem, builds something that makes it tangible, and brings it to the people who can help. The cycle time between observation and collaboration collapsed.
Lower barriers for everyone
Something else is happening that I want to name. The people who were least likely to speak up before are the ones talking the most now.
A junior analyst who would never have presented at a cross-functional meeting can post a working tool in a Slack channel. The tool does the talking. It’s less scary to show something that works than to stand up and explain your idea to a room of senior people who might poke holes in it. The artifact absorbs the risk of exposure. You’re not asking people to evaluate your thinking. You’re showing them something they can use.
This isn’t just about introverts finding their voice, though that’s part of it. It’s about the elevation of roles. When someone three years into their career can build something that demonstrates a problem the organization has been talking past for months, the hierarchy of who gets to contribute to problem-solving flattens. The tool gave them a seat at the table they didn’t have before. Not because anyone invited them. Because they showed up with something worth reacting to.
It’s not just the builders
I’ve been framing this around people building software, but the ripple effects hit every part of the organization.
Take marketing. Product and engineering are producing material things so quickly now that the old handoff doesn’t work anymore. You can’t brief marketing on a feature that shipped last week when three more shipped since then. You can’t plan a launch campaign on a quarterly cycle when what you’re launching changes every week. The internal newsletter, the positioning doc, the “here’s what’s coming” slide deck: these artifacts assume a pace of change that no longer exists.
So marketing has to be in the room. Not downstream, not waiting for a briefing, but in the conversation while things are taking shape. Product shows a working prototype and the question isn’t just “should we build this?” It’s “how do we talk about this? Who is this for? What does this change about our story?” Those are marketing questions, and they need to be answered at the speed the product is moving, not three weeks later in a creative review.
Or take IT. The line between product engineering and IT used to be pretty clean. Engineering built the product. IT handled the internal tools: licensing, installing, configuring off-the-shelf and SaaS products to keep the company running. Those were different jobs with different skill sets, and there wasn’t much reason for the two groups to be in each other’s business.
Now employees across the company are building their own internal tools. And these tools aren’t toy prototypes. They’re solving real problems, handling real data, and people depend on them. Which means someone needs to figure out how to host them, secure them, keep them running, and make sure they don’t quietly become a liability. That’s not a product engineering question. That’s an IT question. But the answers look different from “buy a SaaS license and configure SSO.”
Our IT team has been stepping into this in a way I didn’t expect. They’re applying the same rigor they’d bring to evaluating a vendor product, but to things our own people built. What’s the access model? Where does the data live? What happens when the person who built it moves on? These are the right questions, and they’re the ones nobody building the tool in an afternoon is thinking about. IT is becoming the operational backbone for a new class of homegrown tools, and that’s a harder, more interesting job than managing vendor contracts.
The collaboration that comes out of this is genuinely new. Engineering and IT are working together on hosting patterns, security reviews, and operational standards for tools that didn’t exist a month ago. It’s not engineering telling IT what to do, or IT telling engineering what they can’t do. It’s both groups figuring out a new category of thing together.
The same pattern is showing up in other functions too. Customer success needs to be closer to engineering because the tools their clients interact with are changing rapidly. Finance needs to understand what’s being spun up because infrastructure costs move at the speed of prototyping now.
It’s exciting and stressful in equal measure. Exciting because the quality of the conversations is higher. You’re reacting to tangible things, not abstract proposals. Stressful because there’s no buffer anymore. The space where you used to prepare, review, and polish before anyone saw your work is compressed to almost nothing.
But the net effect is more collaboration, not less. More “hey, can you look at this real quick?” More impromptu calls. More decisions made in the moment instead of deferred to the next scheduled touchpoint. The tools didn’t just accelerate the work. They accelerated the need for human judgment, and human judgment works best in conversation.
What the tools are actually doing
We keep framing these tools as productivity multipliers. Build faster, ship faster, do more with less. And they are that. But the more interesting effect is what they’re doing to how we work together.
They’re removing the busywork that kept people apart. They’re compressing the distance between “I see a problem” and “let’s solve it together.” They’re creating high-fidelity assets that let people engage at the heart of a decision instead of spending weeks getting to it. They’re lowering the barrier for who gets to participate in problem-solving.
The tools do things for us. But the net effect is that we’re doing more things together. More conversations. More showing. More “can I get your take on this?” More “look what I built, does this match what you were thinking?”
That’s the part nobody predicted. The most powerful thing about giving everyone the ability to build isn’t what they build alone. It’s how fast they get to the moment where they need each other.