Definition #
ML-driven systems automating repetitive tasks across departments while maintaining human oversight.
Key Characteristics #
- Context-aware task routing
- Exception handling
- Process mining
- SLA tracking
Why It Matters #
Reduces manual work by 70% while improving process consistency (Gartner).
Common Use Cases #
- Invoice processing
- Employee onboarding
- Customer support triage
Examples #
- UiPath AI Fabric
- Automation Anywhere IQ Bot
- Microsoft Power Automate
FAQs #
Q: Error recovery?
A: Auto-escalates exceptions to humans after 3 failed attempts.
Q: Legacy system integration?
A: OCR + API connectors handle 90% of legacy software.