Documented processes rarely match reality. AI process mining reveals how work actually flows, exposing inefficiencies and opportunities.
How Process Mining Works
AI analyzes event logs from systems to:
- Reconstruct actual process flows
- Identify variations and deviations
- Find bottlenecks and delays
- Quantify process performance
What You Discover
Process reality: The gap between documented and actual processes.
Bottlenecks: Where work gets stuck.
Rework loops: Where work goes backward.
Variations: Different paths through the same process.
Automation candidates: Repetitive, rule-based steps.
Use Cases
Process optimization: Find and fix inefficiencies.
Compliance monitoring: Ensure processes follow requirements.
Automation planning: Identify automation opportunities.
Continuous improvement: Track process changes over time.
Getting Started
1. Identify processes with rich event data
2. Extract and prepare event logs
3. Run initial discovery
4. Validate findings with process owners
5. Plan improvements
Expected Benefits
- 15-30% process efficiency improvement
- Faster compliance audits
- Better automation prioritization
- Continuous process intelligence