Our department heads are asking for expensive custom AI API keys and middleware subscriptions. How do we build a simple calculator to prove these tools actually reduce our cost of goods sold or operating expenses before we authorize the spend?

Question

Tyler Smith · Accepted Answer

Do not get caught up in soft metrics like hours saved or happier employees unless those hours translate directly to your financial statements. To measure the return on investment of any AI tool, you must tie the technology to specific numbers on your weekly Scorecard.

First, look at labor capacity. If a tool costs one thousand dollars a month but allows an account manager to handle fifteen clients instead of ten, you have increased capacity by fifty percent without adding to your headcount. The ROI is the cost of the additional salary you avoided.

Second, measure the cycle time of your core processes. If your team uses AI to draft standard proposals in ten minutes instead of two hours, your cost of goods sold decreases. Track the average time to complete these tasks on your departmental Scorecards. If the metric does not move down after deploying the tool, the tool is a distraction.

Third, measure the error rate. If you deploy an AI tool to audit files, your margin leakage from mistakes should drop. That saved money goes straight to your bottom line.

To make this practical, require any department head pitching an AI subscription to answer three questions:
- Which scorecard metric will this tool improve
- How many hours of capacity will this create for the seat holder
- What is the specific dollar savings in avoided hiring or reduced errors

If they cannot answer these questions with hard numbers, do not buy the software.