InnovateXP

How to choose your first automation workflow

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Workflow & SOP
Direct answerChoose work that repeats, follows reasonably stable rules, has accessible inputs and allows human review or recovery. Drafting, organising and reminders are safer starting points than automatic payments or irreversible outbound messages.

Three key takeaways

  • Prefer stable rules and accessible inputs over impressive demos.
  • Name an owner, review gate and stop procedure before testing.
  • Record a baseline and compare the pilot on the same basis.

Shortlist three workflows, not a hundred tools

List repeated work from recent operations: organising enquiries, drafting quotation follow-ups or classifying documents. For each, record frequency, active handling time, exceptions, sensitivity and the final approver. High frequency is not enough: a process whose rules change daily may be a worse first candidate than a smaller stable one.

Write a one-page operating boundary

Describe the trigger, input fields, steps, output and accepting owner. An example boundary is producing a reviewable draft after an enquiry is confirmed, not sending it directly. Missing fields, duplicate submissions, denied access and uncertain model output each need an explicit human destination.

Require approval before overwriting original data, sending externally or moving money. Keep the original records and versions. Name the person who can pause the workflow and document how the existing process takes over after failure.

Finish one review cycle before expanding

Measure the current process, then test anonymised normal, missing-data, duplicate and exception cases. Log review time and correction reasons for every output rather than timing only the demonstration. At the agreed review date, decide whether to retain, change or stop the workflow before adding another.

Questions

Does the first automation need AI?
No. Deterministic validation, reminders and data movement may be easier to test without it. Assess AI when interpretation of unstructured content is genuinely needed, including the cost of human review.

Limitations

Sensitive data, consequential decisions and irreversible operations need stricter access controls and specialist review. This selection method does not guarantee savings. Unstable inputs may make data cleanup the better first project.

Sources & references

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