In short
Choose the first automation by scoring process frequency, manual effort, error cost, rule clarity, exception volume, system access and measurement ease. The best first candidate is usually repetitive, visible, painful, rule-based and narrow enough to release quickly while proving adoption and value.
Do not start with the biggest process
Large processes are attractive because the potential saving looks high. They also carry more exceptions, stakeholders and integration dependencies. A first automation should prove the method before the programme takes on the hardest case.
Score pain and feasibility together
A useful scoring model includes volume, effort, error rate, customer impact, rule clarity, exception rate, integration availability and owner readiness. Pain without feasibility creates delay. Feasibility without pain creates a demonstration nobody cares about.
Measure the baseline before building
Cycle time, rework, handoff count and error cost should be measured before automation starts. Without a baseline, success becomes opinion and future investment becomes harder to justify.
Look for coordination waste
The best early automations often remove chasing, copying, routing and status checking rather than complex judgement. That is where adoption is easiest because people feel the improvement immediately.
Publish one working release
A small automation used daily is more persuasive than a large roadmap. Use it to prove governance, exception handling, monitoring and support, then move to the next candidate with evidence.
Written by Mr. Rohit
Director and Chief Technology Officer, Acmez Technologies Pvt. Ltd.
This article reflects delivery experience on client engagements rather than vendor research. Where a claim cannot be substantiated, it is stated as an opinion or omitted. Last reviewed 28 June 2026.
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