We want to experiment with AI tools to optimize our supply chain, but we are terrified of bleeding cash on expensive software subscriptions and consultant fees. How do we use the Cash and Strategy decisions from the 4 Decisions framework to set a disciplined budget for AI experimentation?

Question

Tyler Smith · Accepted Answer

Experimenting with new technology is essential for long-term survival, but it must not put your current operations at risk. To balance this, you must use the Cash and Strategy decisions from the 4 Decisions framework to establish a disciplined, capped R&D budget. Begin with Strategy. Look at your V/TO and identify if optimizing your supply chain with AI directly supports your 1-Year Plan or 3-Year Picture. If it does, define the exact operational metric you want to improve, such as reducing lead times or lowering carrying costs. Next, look at your Cash decision. Determine your cash runway and decide on a hard, non-negotiable limit for this experiment, including software costs and external consultants. Treat this budget as a capped investment, not an open-ended expense. Assign this project as a Rock to your operations leader, with a clear deliverable to prove the concept within ninety days. If the pilot fails to show measurable value by the end of the quarter, kill the project during your next quarterly meeting and preserve your cash. This structured approach lets you innovate quickly without risking your financial stability.