This interactive tool demonstrates how artificial intelligence can support engineers in diagnosing and optimizing industrial processes.
By simply describing a unit operation (e.g., distillation, heat exchange, reaction, or pumping), the assistant instantly provides:
- Likely bottlenecks in the operation
- Relevant KPIs with typical industrial ranges (in SI units)
- Essential sensors that should be monitored
- Three optimization actions, ranked from low effort to high impact
- Main risks or constraints to consider for safe operation
How it works
Process Genius runs on a lightweight AI workflow orchestrated by n8n — no external simulator required.
When you describe your process, the assistant:
- Parses and normalizes your inputs (units, ranges, operating conditions).
- Maps the problem to the relevant unit operations (distillation, heat exchange, pumping, reaction, etc.).
Produces a structured 5-block answer: Diagnosis → KPIs → Sensors → Actions → Risks.
- Prioritizes recommendations using an impact-vs-effort scoring heuristic.
- Optionally exports a shareable note and logs anonymized analytics to improve future suggestions.
⚠️ Results are indicative and designed for rapid screening. They should always be validated before operational changes.