Executive summary

A method for choosing between AI investment options on cash value and downside, using only tested assumptions.

What is inside

What the investment case covers

The asset walks an appraisal lead from the frozen assumption register through the long list, the short list, the cash model, incremental and stress testing, staging, and the investment committee paper. It ends with an options matrix, a cost-benefit workbook layout, and a sensitivity table, with a worked synthetic case.

  • Building a long list of options, including the status quo and a non-AI fix
  • Shaping AI options by scope and deployment, not by vendor
  • Appraising each option on cash, not capacity
  • Testing whether the AI layer earns its cost over the best non-AI option

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