A finance-ready business case distinguishes evidence from assumption. It explains the current process, the proposed scope, the cost to implement and operate it, the expected outcome, and the conditions that could change the result.

Establish the current operating baseline

Measure volume, cycle time, touch time, rework, backlog, exception handling, system costs, and control effort. Note seasonal variation and work that is currently deferred or absorbed by other teams.

Include the full delivery and operating cost

Model diagnosis, implementation, integrations, customer participation, testing, training, platform subscription, usage, support, governance, and change. A low license price does not represent the total cost of a controlled enterprise workflow.

Use scenarios instead of one confident forecast

Present conservative, expected, and upside cases with explicit assumptions. Include adoption, exception rate, volume, change capacity, and residual manual work. Agree how production evidence will replace estimates.

Build scenarios from explicit operating assumptions

Model conservative, expected, and upside cases using volume, eligible share, adoption, exception rate, residual manual effort, implementation timing, and operating cost. Show which inputs come from measured baseline data, vendor estimates, or management judgment. Avoid converting all employee time into cash savings unless the organization has a credible capacity plan.

Include diagnosis, implementation, integrations, customer participation, testing, training, subscription, usage, support, governance, and change. Add sensitivity analysis for the assumptions that most affect the result. A scenario model should help finance see what must be true, not merely produce one return figure.

Define how benefits will be validated

Assign an owner, source, calculation, baseline, target, and review date to each benefit. Measure quality, service, control, and resilience alongside efficiency. For capacity benefits, state how released time will be redeployed and how that change will be observed.

Replace estimates with production evidence as the rollout matures. Explain material differences rather than selecting only favorable periods or populations. The decision may be to expand, correct, narrow, or stop; a credible business case supports each of those outcomes.

Further reading

These primary references informed the operating principles in this guide.

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