A dependable decision starts with the actual business process: who works with what, which information is needed when, and what happens in an exception? Technology follows afterwards.
1. Multiple truths in parallel files
The function alone is not enough. Data quality, roles, interfaces and operation determine whether the solution works. It must remain understandable in daily use and must not hide new dependencies.
During discovery we therefore examine the current flow, frequency, cost of failure and exception cases. This creates a scope that delivers business value while remaining manageable.
2. Hidden business logic in formulas
The function alone is not enough. Data quality, roles, interfaces and operation determine whether the solution works. It must remain understandable in daily use and must not hide new dependencies.
During discovery we therefore examine the current flow, frequency, cost of failure and exception cases. This creates a scope that delivers business value while remaining manageable.
3. Missing permissions and auditability
The function alone is not enough. Data quality, roles, interfaces and operation determine whether the solution works. It must remain understandable in daily use and must not hide new dependencies.
During discovery we therefore examine the current flow, frequency, cost of failure and exception cases. This creates a scope that delivers business value while remaining manageable.
A practical decision test
- Is the workflow frequent or business-critical?
- Does the current solution create duplicate work, delay or risk?
- Can value be measured in time, quality or throughput?
- Is there an accountable business owner for decisions?
If several answers are yes, a structured process analysis is worthwhile. It often reveals whether standard software, integration or custom development is the right route.