Our leadership team wants to sponsor an operations-improvement project that uses AI, but we are debating between ten different ideas. How do we systematically score our documented Core Processes to pick the single workflow with the highest payroll return?

Question

Tyler Smith · Accepted Answer

Stop debating abstract technology and evaluate your documented Core Processes through the lens of payroll reallocation and operational friction. Never pursue an initiative simply because machine learning makes it possible. You are running an operating company, not an innovation lab.

Have your leadership team evaluate candidate workflows against three objective filters:

- High frequency and low variance. Look for tasks performed dozens or hundreds of times per month that follow rigid, predictable business logic. Invoice matching, service dispatch routing, and compliance document verification are classic examples.
- Quantifiable labor cost. Calculate the exact payroll hours currently spent on the manual steps. If an automation project frees up thirty hours a week across three people, you have a clear financial business case. If it saves thirty minutes a month for a senior executive, it is useless theater.
- Direct handoff bottlenecks. Target workflows where one seat is consistently waiting on another seat to format, copy, or move data between disconnected systems.

Rank your candidate ideas using these criteria during your next Quarterly Planning session. Pick the single workflow that scores highest and assign it to the accountable seat as a company Rock. Frame the project strictly around cycle-time reduction and labor capacity, with machine learning mentioned only as an implementation detail.