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. Service volume and customer frequency
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. Integration into order and document workflows
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. Adoption and role model
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.