How to calculate whether AI automation is worthwhile
Separate time released, cash savings and costs to avoid promising a fictitious return.
Start with what happens today
Count how many cases are handled over a period and how much human time a representative case requires. Include preparation, checking, correction and exception handling. The baseline must describe work comparable to what the solution will later perform.
If cases differ widely, use groups or ranges instead of a single average. An exact figure based on an unrepresentative sample can create more confidence than it deserves. Record the source and limitations of each estimate.
Calculate only the part that could be reduced
A basic hypothesis is: cases per month × net minutes released per case ÷ 60. Net minutes must already account for review and the new work introduced by the solution. Do not use all current time if part of it will still be needed.
If you then assign a financial value to those hours, explain the method. Available capacity, expense savings and increased commercial activity are different things. Do not add all three as independent benefits when they arise from the same time.
Include the cost of maintaining the improvement
Initial implementation is not the only cost. There may be licences, service usage, support, supervision, maintenance and team learning. A flow that requires constant corrections may release less time than expected.
Compare a conservative scenario with an expected one. The favourable hypothesis can help exploration, but it should not be the only reason to proceed. Define the minimum result that would justify keeping the system and the result that would require adjustment.
Make sure the trial can change your decision
During real use, compare similar cases and review both time and quality. If the solution prepares a draft faster but increases corrections or delays approval, that difference must appear in the evaluation.
The result does not have to defend the original investment at any cost. It may recommend reducing scope, organising a source, keeping only one part or stopping. An estimate is a working hypothesis; measurement determines how much of it holds.
Hypothetical example, not a savings promise
With 30 cases per month and 20 net minutes released per case, the hypothesis would be 10 hours per month. That figure does not yet show how much money is saved: operating costs and how the released capacity is used still need to be assessed.
The examples are illustrative. They do not represent an active integration, a client case or a guaranteed result. Application depends on the process, sources and agreed scope.