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Workflow analysis & assistant builder

An employee maps a real process, the steps and the hours it takes. The platform estimates how much of it AI could handle, then suggests a ready-made assistant for the task that the person sets up by copying and pasting into the tool they already use, such as Copilot.

A process broken into steps with the automatable share highlighted, plus a suggested assistant and the weekly hours recoverable (demo data). Each step is marked as something AI can take on or something that stays manual, with a suggested assistant and the hours it would recover (demo data).

What you can see

  • Each process broken into steps, with the automatable share highlighted.
  • The hours the task takes, and a suggested assistant with the tools to use.
  • A clear split of which steps AI can take on and which stay manual.
  • An estimate of the weekly hours the client could recover.

How it works

  1. The employee maps the steps of a real task and how long each takes.
  2. The platform scores how automatable the process is, step by step.
  3. It suggests a matching assistant, set up by copy and paste into an existing tool.
  4. The recovered-hours estimate sizes the payoff.

Good to know

This is where learning turns into results: a working assistant for a real task, plus a number the client cares about, the weekly hours they could get back.