The classic tools work for AI, but they need care because AI projects have uneven cash flows, uncertain adoption and fast-changing costs.
NPV first
Net present value discounts each year's net cash flow at your hurdle rate. It is the best single measure because it handles timing and size. A positive NPV at your hurdle rate means the case creates value on its assumptions.
IRR, carefully
The internal rate of return is the rate at which NPV is zero. It is easy to communicate but can mislead:
- If cash flows never change sign (no upfront investment, or never positive), there is no IRR.
- If they change sign more than once (for example a big re-platforming cost in year 3), there can be several IRRs. Use NPV.
- A very high IRR on a tiny investment says little about value. Look at NPV too.
Payback
Payback (in months) answers "when do we get our money back?" It ignores what happens after, but it is a good guard against long, speculative cases. Many finance AI pilots should pay back within the horizon you would give any process improvement.
Sensitivity: the tornado
Move each key driver by, say, ±20% and see how NPV changes. For AI cases the usual suspects are volume, time saved per item, adoption and run cost. If one driver can flip the NPV negative, that is the assumption to test first in the pilot.
Break-even adoption
Ask: at what share of planned adoption does NPV reach zero? If the answer is 30%, the case is robust; if it is 120%, it cannot work as scoped.
Risk haircut
Gartner predicts that over 40% of agentic AI projects will be canceled by the end of 2027 because of escalating costs, unclear business value or inadequate risk controls. A haircut on benefits is a simple, honest way to reflect delivery risk.