Applied AI

How to choose the first workflow for an AI pilot.

Skill InForge Editorial Team · Reviewed 9 August 2026 · 8 minute read

A team mapping candidate tasks for a workplace AI pilot

Short answer

A strong first AI pilot uses a specific workflow with a clear owner, repeatable steps, manageable information, visible quality criteria and straightforward human review. Avoid high-impact or sensitive decisions as a first test.

Start with a workflow, not a tool feature

Define the current work before asking what a tool can do. Map the trigger, inputs, decisions, hand-offs, output and user of that output.

  • What starts the work?
  • Where is time or quality lost?
  • Who owns the result?
  • How is good work recognised?

Use five selection criteria

Compare candidate workflows consistently rather than choosing the most visible idea.

  • Value: is the pain worth addressing?
  • Feasibility: can the task be tested with available tools and skills?
  • Information: can approved or synthetic information be used?
  • Consequence: what happens if the output is wrong?
  • Reviewability: can a competent person check it efficiently?

Prefer low-consequence, repeatable work

Good early candidates often include first drafts, meeting and action support, research synthesis, knowledge retrieval, process documentation and structured reporting.

  • There is enough repetition to learn from.
  • The output can be compared with an existing standard.
  • A person remains clearly accountable.

Know which workflows should wait

Do not use a first pilot for work that is high impact, safety critical, highly sensitive or dependent on unclear ownership and weak review.

  • Clinical, care or safeguarding decisions
  • Employment or financial decisions about individuals
  • Technical sign-off or safety assurance
  • Unreviewed legal, regulatory or product claims

Design the pilot as a learning loop

The aim is not simply to prove that a tool can produce an output. Capture the prompt or task pattern, human checks, exceptions, owner, measure and review date.

  • Test with synthetic or approved information.
  • Record what improved and what failed.
  • Decide whether to stop, adapt, repeat or expand.

This guide provides general workforce-development information. It is not legal, privacy, cybersecurity, regulatory or professional advice. Review sensitive or high-impact uses through the appropriate specialist process.

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