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.
- Published
- By
- AgentLab
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
- AI RMF Playbook — MapNIST AI Resource Center
- AI RMF Playbook — MeasureNIST AI Resource Center
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