Find and rank the steps where automation genuinely pays against the effort to implement, and after implementation confirm each automation delivered its expected return.
Look across your stable process for the steps where technology genuinely pays. The best targets are the boring, high-volume, repetitive steps, not the complex judgment-heavy ones, because those are where machines reliably beat manual effort. Rank by return against effort; not everything should be automated.
| Step | Opportunity type (repetitive manual, error-prone, retyped data, manual handoff delay) | Return if automated | Effort to implement | Priority (return vs effort) |
|---|---|---|---|---|
After implementation, confirm each automation delivered against the baseline you captured when you mapped and costed the process. If it delivered, the gain feeds your operational metrics. If not, find out why and correct it rather than living with expensive technology that does not pay.
| Automation | Baseline (before) | Result (after) | Delivered its return? | Keep, fix, or drop |
|---|---|---|---|---|
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