The main difference between FlowSharp and a traditional BPM lies in the approach to measurement and AI.
Traditional BPM:
- Models the process as it should be (ideal process, BPMN diagram)
- Implementation often requires IT teams and long configuration cycles
- Measurement happens separately, on aggregated data extracted after the fact
- AI is an external add-on, often without explicit governance
- Difficult to modify once in production without impacting in-progress cases
FlowSharp:
- Starts from the process as it really works, including manual steps, exceptions and variants
- Accessible to operational profiles: the Flow Designer does not require BPMN or developers
- Measures while the process works: every item produces time, cost and quality data in real time
- AI is natively governed: Data Shield, Data Gate, human-in-the-loop and audit are part of the flow, not add-ons
- Flow changes are versioned: a new version can be published without interrupting in-progress cases
In summary: FlowSharp is not just a workflow designer — it is an operating system for processes: design, run, measure and improve in a continuous cycle, with AI acting inside declared rules.
If you have a traditional BPM and want to add operational measurement, governed AI and incremental automation, FlowSharp can coexist with it or progressively replace it.