Use cases

We take this work off your plate.

Nine kinds of work that get left behind in almost every software team. For each use case, you see what the agent does, what your team still does and when it works well.

Tasks go in, tested proposals come out. Your team approves.

How every use case runs

In as a task. Out as a proposal.

Your team sets up a task. The agent works it out in an isolated environment and delivers a proposal with tests and an explanation. Your team approves it or sends it back.

Every proposal comes back with tests and an explanation. Your team approves it or sends it back.

What all use cases have in common

Clear work, clear end point.

Agents are at their strongest with work you can describe well and where you can check whether it is done. That is why we work with tests, small proposals and human approval.

The AI agent

The hands-on work

  • Reads the code and the task
  • Writes the change
  • Runs the tests
  • Delivers a proposal with an explanation

Time-Regained

Set up, monitor, improve

  • Chooses and configures the agent
  • Writes the rules and limits
  • Keeps an eye on the work and adjusts
  • Measures and reports the time saved

Your team

The final say

  • Chooses which work comes first
  • Reviews proposals
  • Approves or sends back
  • Spends the time won back on what matters

Is your work not on the list?

Tell us in a free conversation which work keeps getting left behind. We will tell you honestly whether an agent can take it over.

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