What this means in practice

  • Choose one workflow with a named owner and a measured baseline.
  • Agree success and stop criteria before the pilot starts.
  • Use real data and the people who actually do the work.
  • Keep a person reviewing outputs throughout the pilot.
  • End with a recorded decision: scale, change or stop.

How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

See it as a workflow

  • An AI pilot with a go or no-go decision: Run a short, time-boxed AI pilot on one real workflow, with success and stop criteria agreed up front, so leadership ends it with a clear decision to scale, change or stop instead of an open-ended experiment.