01
Maps before automations.
Most automation programs fail because they automate the wrong thing. We don't ship an agent until we can show, on a map, what it replaces and what it sets free.
About Plainsight
Every company in the next three years is going to be partly operated by AI agents. The companies that map themselves first will build better agents than the ones that don't. Plainsight is the mapping layer.
We kept watching companies — including the ones we ran ourselves — pour millions into automating processes nobody had ever properly mapped. The automations would ship. The dashboards would light up. And nothing would change. Because the underlying problem was almost never what anyone thought it was.
The work people actually did was different from the work described in the org chart. The handoffs that broke things never showed up in any tool. The most expensive knowledge in the company lived in five people's heads, and three of them had already given notice.
We didn't have a visibility problem because companies don't generate data. We had it because the data they generate isn't about the work that gets done. It's about the work that gets logged.
The bottleneck wasn't the building. It was the seeing. So we built the seeing.
What we believe
01
Most automation programs fail because they automate the wrong thing. We don't ship an agent until we can show, on a map, what it replaces and what it sets free.
02
The truth about how a company runs is held inside the people who actually do the work. Not the org chart, not the SaaS audit, not the LinkedIn titles. The people.
03
A good interviewer can find a team's three biggest patterns in twenty minutes per person. Long surveys get gamed. Short, focused conversations don't.
04
What goes back to the leader is patterns across the team, not individual answers. People only tell the truth about their work if they know their words won't be on a slide tomorrow.
05
We don't lock you to our agents. We don't lock you to our tooling. The blueprint we deliver is yours — take it anywhere.
06
If the output looks like a McKinsey deck, people skim it. If it looks like a thing you'd hang on a wall, they actually read it. We obsess about how the map feels.
How we do it
A short call where you describe the company, the people on it, and the curiosity you're bringing into this. About ten minutes.
On their phone, on their schedule. A trained interviewer asks what they actually do, what gets in the way, and what they'd never put in a survey. Their answers stay confidential.
You watch nodes light up as interviews complete. By the end of the week you have a live map of the team, a ranked list of patterns, and a blueprint of the agents we'd build first.
Why now
The companies that arrive at this with a clear map of how they actually work will build agents that fit the business. The ones that don't will buy generic agents that automate the things that look automatable on a slide — and re-create the same opaqueness in software.
Plainsight is for the first group. We don't sell the agents. We sell the seeing.
What you build on top is up to you — we can help with the first few agents, or you can take the blueprint to whoever you already trust. Either way, the map is yours.
Who this is for
Founders who can feel where the company is losing time but can't point to it. Operators planning their first wave of AI agents and refusing to fly blind. Executives a year into a transformation budget, wondering why nothing has changed.
You can feel the company is losing time. You just can't point to where. A map fixes that.
Before you write a single agent spec, get the map. The map decides which agents actually matter.
You're a year into a transformation. The dashboards say green. The hallway says otherwise. We tell you which is right.
About twenty minutes per person. One week from start to blueprint. Your first team is free.