Gilbreth
Built for the people leading AI transformation

AI transformation needs full context. We capture the work on your computers.

Reaching real AI transformation means understanding how work actually gets done — and a huge part of that lives on screens. Gilbreth captures the useful on-computer work, keeps only what matters, and turns repeated actions into skills your agents can run.

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Discovery is still too manual.

Most teams still map automation opportunities through interviews and reconstruction. That makes the first phase slow, expensive, and noisy.

Interview bias.

People describe what they think they do — not what they actually repeat all day across tabs, inboxes, and docs.

Process blind spots.

System logs miss the manual last mile. Copy-paste, reconciliation, and ad-hoc handoffs rarely show up in process mining.

Consulting drag.

Senior time gets burned on raw discovery. Your experts collect facts instead of judging, designing, and selling the transformation.

Observe. Distill. Hand off.

The visible output is runnable skills for your agents. The accumulating asset is a real map of the useful work that happens on your computers.

What we capture.

Screen activity and mouse-level signals — the repeated last mile that logs and process mining never see. Privacy is a hard constraint: we keep only what's needed.

What we output.

Repeated actions become skills your agents can run, with a human reviewing what's worth automating.

For the people already running transformation.

The primary buyer is the consultant or internal team responsible for moving the company from AI theater to actual redesign.

External consulting teams.

Gilbreth shortens discovery and gives your client work grounded in observed reality.

Internal transformation leaders.

For ops, strategy, enablement, and AI-native taskforces that need to see where repetitive work actually lives.

Not for surveillance programs.

The manager sees the notebook of what can be automated — never a camera feed. If the goal is productivity policing, this is the wrong product.

Request a demo.

If you run AI transformation work and want to see how this compresses discovery, send a structured request. Use case first — no generic vendor tour. Replies within one business day.

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