8-MINUTE READ · PROCESS AUTOMATION
How to Prioritize Automation Opportunities Without Chasing Hype
The best first automation is rarely the most impressive demo. It is the workflow with a clear owner, a repeatable pattern, measurable friction, manageable exceptions and a safe way to prove whether the change helped.
Use this as a working sequence; validate ownership, evidence and exception handling for your own environment.
1. Start with the work, not the tool
Write down the process from trigger to outcome. Identify who starts it, which systems are touched, where information is copied or re-keyed, which approvals happen, what causes exceptions and how success is recognised. “We need AI” or “we need RPA” describes a possible approach, not the business outcome.
2. Score candidates across six dimensions
Use a transparent rubric before buying software. Rate each candidate from 1 (low) to 5 (high) for:
- Frequency and volume of the work.
- Time, delay or queue currently consumed.
- Error, rework or customer impact.
- Repeatability of the rules and decisions.
- Data quality and integration readiness.
- Cost and consequence of a failure.
Keep risk as a separate guardrail. A high-volume workflow with poor data ownership may need a data-quality project first. Do not let a composite score hide a critical security, compliance or operational risk.
3. Measure a baseline before the pilot
Record a representative baseline: case volume, median and high-percentile completion time, touch time, rework rate, exception rate, service-level misses and relevant control failures. Define the sample window and exclusions. Estimates can help prioritise discovery, but they are not guaranteed savings. If the team cannot agree on the baseline, make measurement the first deliverable.
4. Choose the smallest useful pilot
Select a bounded workflow, a named process owner and a small user group. Document what remains manual, what happens when the automation is uncertain, who receives exceptions, how changes are approved and how the process can be paused or reversed. Test normal cases and awkward ones: missing fields, duplicates, late arrivals, permission failures and upstream outages.
5. Compare options without vendor bias
A spreadsheet, built-in ERP workflow, low-code tool, API integration, robotic process automation or AI-assisted step can each be appropriate. Compare total operating cost, integration support, access controls, monitoring, auditability, portability, maintenance and failure recovery. Validate capabilities and licensing against current vendor documentation and a proof of concept using representative cases from your own process.
6. A 30-day decision plan
- Week 1: map the process and agree on the baseline.
- Week 2: rank candidates and document data, risk and integration dependencies.
- Week 3: test the leading candidate with realistic cases and human review.
- Week 4: compare results with the baseline, document exceptions and decide to stop, refine or scale.
This is a planning aid, not a guarantee that every workflow can be implemented in a month.
Pre-pilot checklist
- A process owner is accountable for the outcome.
- Baseline data and measurement definitions are agreed.
- Exceptions and failure recovery are documented.
- Data access is approved and least-privilege.
- A human review path exists where errors could matter.
- Success, stop and rollback criteria are written down.
This is general educational guidance, not vendor, legal, security or implementation advice. Validate current capabilities, licensing, local requirements and control design with qualified owners.
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Use the free assessment to structure the business problem, then record context, evidence, options and validation actions.
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