AI Opportunity Model
Most AI calculators are built to produce a big number. This one is built to produce a number you can defend in a board meeting.
Every assumption below is visible and adjustable. If you think a figure is too generous, change it — the model updates instantly. A conservative estimate you believe beats an impressive one you don't.
$0
Estimated annual value recovered
Range: $0 – $0
| Function | People | Hours/yr | Value |
|---|---|---|---|
| Total | 0 | 0 | $0 |
| Annual investment | $0 |
| Net annual return | $0 |
| Return on investment | — |
| Payback period | — |
For each function: people × 1,880 hrs/yr × automation potential × adoption × realization
Automation potential is set per function based on how much of that work is repeatable and language-based. Support and administrative roles score highest; leadership and engineering score lowest.
The confidence range reflects your readiness level. It widens as readiness falls, because low process documentation makes outcomes less predictable — not less valuable.
A twenty-minute conversation about what you've tried, what stalled, and whether these numbers hold up against your actual operations.
Book a 20-minute conversationAbout this model. Automation potential figures are drawn from published research on task-level AI applicability by job function, then discounted. The default realization rate of 40% reflects the consistent finding that recovered hours convert to captured value at well under 100%. This model is a planning tool for scoping a conversation, not a forecast — actual results depend on execution quality, data readiness, and organizational adoption.
This tool handles the structure. Weighing your specific constraints, sequencing the work, and owning the result is the engagement.
Book a 20-minute conversation