AI case studies: 17 engagements tested before commitment

These cases come from real engagements. They show how I used AI to investigate a situation, explain it, compare options and prepare tests. Each case follows the seven steps of my approach: frame, investigate, explain, build, test, decide and steer.

Client organization names are omitted for confidentiality. Thresholds, tests and measured results are those of the engagements. The business models presented at the end of each case are annual projections built from these results: they are not a guarantee of performance.

17 cases shown out of 17

Strategic innovation

4 cases

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Digital strategy

6 cases

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Analytics + data

7 cases

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Reading the business models

All amounts are in Canadian dollars, before taxes. The initial investment covers the project, including the strategy work. The net annual gain subtracts new recurring costs and, where applicable, the contribution lost. The prudent scenario reduces gains without automatically reducing costs.

The simple payback equals the initial investment divided by the net annual gain, multiplied by twelve. It assumes a stable situation, with no ramp-up and no discounting. The property case distinguishes recovered capacity from cash savings.

A comparable challenge?

Describe the decision to make and the data available. I will suggest an approach to prepare it and the evidence to gather before deciding.

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As with the cases above, the information you share remains confidential.