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Process automation

How to choose the right business process to automate

A framework for choosing an automation candidate through repetition, data readiness, exceptions, risk, ownership, and a measurable baseline.

Evaluation framework for an automation candidate process

Key takeaways

  • Assess outcome, data, exceptions, and risk together—not volume alone.
  • Choose a measurable current-state baseline before the pilot.
  • Do not automate without a clear process owner and human escalation path.

The best automation candidate is not necessarily the process that consumes the most time. A stronger starting point has a measurable outcome, an accountable owner, usable data, and manageable exceptions.

Seven questions for selecting a process

  • How often does the work repeat, and at what volume?
  • Where does input data come from, and how is its quality checked?
  • Which measure tells us that the outcome is correct?
  • Are rules stable, or does the work frequently require professional judgement?
  • Who handles exceptions, and what response time is required?
  • What is the business, legal, or human impact of a wrong result?
  • Who owns the process and decides when it changes?

Improvement cannot be measured without a baseline

Before a pilot, choose relevant current-state measures such as volume, handling time, returned work, exceptions, or escalations. If the starting point is unknown, later improvement remains an observation rather than a defensible result.

Conditions for moving into a pilot

  • Define a narrow process boundary and a stop condition.
  • Use test data that represents ordinary cases and exceptions.
  • Exercise human approval and rollback paths.
  • Agree success, safety, and adoption criteria before implementation.

Sources

  1. AI RMF Playbook — MapNIST AI Resource Center
  2. AI RMF Playbook — MeasureNIST AI Resource Center

Put the idea into practical context

  • AI agent

    Sales and lead qualification agent

    Structures and routes incoming sales enquiries against agreed criteria.

    View details
  • AI agent

    Document processing agent

    Extracts and validates data from approved document types for a human-governed workflow.

    View details
  • AI agent

    Reporting and analytics agent

    Collects data from approved sources, validates it against rules, and prepares reporting summaries.

    View details

Next step

Test the right process in a bounded, controlled pilot.

Apply these frameworks to your process and identify one measurable first step with us.

Request a free process audit