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AI for HR

Exit Interviews & Attrition

Every departure produces a document. Someone sits down with the leaver, asks the questions, writes it up, and drops it in a folder. And then it sits there. Individually, each one is unremarkable — a better offer, a relocation, wanting a new challenge. It is only when you read forty of them side by side that you notice eleven people on the same team all mentioned the same manager, or that everyone who left in their second year said some version of the same thing about career paths.

Nobody does that reading, because it takes a day and the folder keeps growing. Skynet does it continuously, across every exit conversation you have on file, and tells you what the pile says rather than what any one person said.

How it works

step 01

Pull the whole record

Connect your exit interview notes, resignation messages, and any offboarding survey data. The agent reads across the full history, not the last quarter, because attrition patterns take time to become visible.

step 02

Find the themes

The agent clusters what people actually said into themes, and counts them. Each theme comes with the anonymized quotes underneath, so you can read the raw material and judge for yourself whether the label fits.

step 03

Cut by the dimensions that matter

Themes mean more when you slice them — by team, manager, tenure band, level, location. This is where the useful signal lives: not “compensation is a theme,” but “compensation is the theme for engineers between eighteen and thirty months, and nowhere else.”

step 04

Report it honestly

Findings go to the people team as a proposal, with confidence stated plainly. Where a pattern rests on four data points, the agent says so. Where the stated reason and the surrounding evidence disagree, it flags the gap rather than resolving it for you.

Build it from a prompt

Ask once, and the folder starts talking back.

You find out what is driving people out while you can still do something about it, and you find it with the evidence attached — which is what it takes to get a leadership team to act on it. Small teams and quiet patterns stop disappearing into the average. The exit interviews you were already running finally do something.

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