A digital transformation business case compares an expected change with a credible baseline. It should distinguish saved effort, avoided cost, improved control and new revenue opportunities. Combining all of them into one optimistic percentage makes the proposal difficult to review.
Start with the workflow rather than the software price. How many transactions are handled, how long do they take, where do corrections occur and what happens during peak demand? Observe a representative period and record uncertainty before estimating a benefit.
Make the arithmetic explicit
Consider a hypothetical order-entry process handling 2,000 orders each month. Assume staff spend six minutes per order today and a proposed system would reduce that to four minutes after training. The illustrative difference is 4,000 minutes, or about 66.7 hours per month.
That is potential released capacity, not automatically a cash saving. Staff may use the time for other work, overtime may fall, or headcount may remain unchanged. The business case should state which outcome is expected and how it will be observed.
Include adoption and exceptions
If only half the orders use the new workflow initially, the same assumption releases about 33.3 hours. If complicated orders still require the old process, measure them separately.
Do not assume every eligible user will adopt the system immediately. Training, workflow changes, integration delays and incomplete master data can affect the realised result. Build a staged adoption curve instead of counting the full benefit from the first day.
Compare full costs
| Cost group | Items to include |
|---|---|
| Initial work | Discovery, implementation, migration and training |
| Recurring operation | Hosting, licences, support and monitoring |
| Change | New integrations, rule updates and evolving reports |
| Internal effort | Owner decisions, testing and data cleanup |
| Exit | Export, documentation and transition to another provider |
A low implementation quote can still lead to high operating costs. Conversely, a higher initial investment can be reasonable if it reduces a clearly identified ongoing burden. Use comparable time periods when evaluating alternatives.
Test the assumptions
Create conservative, expected and optimistic scenarios. Change transaction volume, time saved, adoption rate and recurring cost individually. If the business case only works when every assumption is favourable, it needs a smaller pilot or a different scope.
Separate measurable benefits from qualitative ones. Better auditability can be important without pretending it has a precise currency value. State the control problem and the evidence showing it improved.
Set a post-launch review
For the order-entry example, compare processing time, exception rate and the number of orders requiring rework. Use similar transaction types and periods. Note other changes, such as staffing or demand, that could affect the result.
Choose an owner who can decide whether the system should expand, change or stop. A measurement plan with no decision authority does not close the business-case loop.
Keep the proposal honest
This is a planning method, not investment advice or a guarantee of return. The illustrative numbers are invented for the worked example and are not Weaveward client results. A defensible case shows where the assumptions come from, how costs are counted and what evidence will justify the next investment.
Primary references
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