AI investment cases
Decide where AI actually pays, with adoption rates, licensing, and token costs built into the math.
Most AI cases break on adoption and cost.
Many AI proposals assume everyone adopts on day one and ignore what usage actually costs.
The result is a number nobody trusts six months later. A credible case plans for gradual adoption and prices the real usage.
What you get
- Use case prioritization by value, effort, and risk
- ROI model with realistic adoption curves
- Total cost view covering licensing, usage, and token costs
- Value realization plan with checkpoints
How it runs.
Inventory
Gather candidate use cases and current baselines.
Prioritize
Rank them by value, effort, and risk.
Model
Build conservative ROI with real adoption and cost assumptions.
Plan
Set checkpoints to confirm value as usage grows.
Let's build a value story your team can sell.
Tell me about your products, your buyers, and where the value story breaks down today.