How do we calculate the strategic cost of waiting for AI technology to mature versus the immediate cost of upgrading our current software platforms today?

Question

Tyler Smith · Accepted Answer

This is a classic real options dilemma. To make an objective decision, you must quantify what Aaron Kolb calls the flow cost of waiting versus the lump-sum cost of upgrading immediately.

Your flow cost of waiting includes lost productivity, slower delivery times, and the risk of competitors capturing market share while you stand still. Your upgrade cost includes software licenses, implementation friction, and team training.

To calculate this, start by looking at your EOS Scorecard. Identify the key metrics that are currently lagging due to manual processes, such as turnaround time or error rates. Calculate the financial impact of those inefficiencies over the next twelve months.

If the flow cost of waiting for another year exceeds the cost of implementing a current AI-powered solution today, you must act now.

Do not fall into the trap of waiting for the perfect technology. It does not exist. AI will always keep improving.

If you decide to upgrade, make the implementation a quarterly Rock and assign it to a single owner who GWCs the seat. This ensures the project has clear accountability and does not drag on, allowing you to capture immediate efficiency gains.