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We have spent significant cash on custom AI software development over the past year, but our operational efficiency has not improved, and our margins are flat. How do we use the 4 Decisions framework to audit our technology spending and get our execution back on track?

Spending cash on custom technology without seeing a clear return on investment is a painful, common reality. When your margins remain flat despite heavy technology investments, you have an execution and strategy problem.

To get back on track, utilize the 4 Decisions framework from Scaling Up, focusing heavily on Strategy, Execution, and Cash. Start by running a brutal financial audit of your custom software projects. You must look in the mirror and take Extreme Ownership of this investment failure. Ask yourselves: Did we build this custom software because it solves a critical customer need, or did we build it because we fell in love with the technology?

In your next Level 10 Meeting, list every custom AI project on your Issues List and run them through IDS. If a custom tool is not directly reducing operational hours, increasing capacity, or improving your client retention, you must have the courage to kill it.

Moving forward, tie all technology spending to specific, measurable Rocks with clear owners on your Accountability Chart. Do not write another check for custom development unless you can map it directly to an improvement in your weekly Scorecard numbers. Focus on execution and cash flow preservation, and stop subsidizing vanity tech projects.

Category: AI & Business Strategy

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