MTMOT AI ROI
The honest AI business case.
Hours returned, minus the hours a person still spends reviewing the output, minus the tools, plus what adoption could unlock. Your numbers, board-ready in minutes.
Your calculation
Your currency
Pick the currency your people are paid in. One currency per calculation; for a multinational, save one scenario per pay currency.
Your tasks
If you are a manager using this to cost AI adoption for specific tasks, work one staff member at a time: Tasks 1 to 5 should all belong to the same person, or to several people on the same pay rate, because the rate decides the value.
Your tools
Up to five tools. Prices are in USD as the registry holds them. Where the registry has no verified price, enter the USD figure shown on your own plan page.
Your rates
Salary plus on-costs, divided by hours worked. Use the real loaded cost, not the base rate.
Your opportunity
Not tied to one task: the aggregate of the hours returned may let the organisation take on work it could not before. Shown on its own line in the result, never folded into the net.
Enter hours for at least one task to continue.
Your saved scenarios
Saved on this device only. Each scenario keeps your inputs; results are recalculated on Go.
Nothing saved yet.
Every figure here is your own estimate. This is a model to reason with and take into a board conversation, not a benchmark or a promise. Hours are annualised over 46 working weeks; monthly tool and opportunity figures are annualised by the model. Currency conversion is indicative only, not to be relied on.
