The Evolution of Process Automation
Traditional RPA handles simple, rule-based tasks. AI agents take automation further by understanding context, making decisions, and handling exceptions intelligently.
10 Process Automation Agents
1. Document Processing Agent
Extracts, classifies, and routes information from unstructured documents like invoices, contracts, and emails.
2. Workflow Orchestration Agent
Coordinates multi-step processes across systems, ensuring tasks are completed in the right order with proper handoffs.
3. Exception Handling Agent
Identifies and resolves process exceptions automatically, escalating only the most complex issues to humans.
4. Approval Routing Agent
Intelligently routes requests to the right approvers based on content, urgency, and organizational rules.
5. Data Entry Agent
Eliminates manual data entry by extracting information and populating systems accurately.
6. Email Triage Agent
Categorizes, prioritizes, and routes incoming emails to appropriate teams or automated workflows.
7. Status Update Agent
Automatically gathers status information from various systems and generates consolidated updates.
8. Compliance Check Agent
Validates that processes adhere to regulatory requirements and internal policies.
9. Notification Agent
Sends timely, personalized notifications through the right channels based on user preferences.
10. Process Analytics Agent
Monitors process performance, identifies bottlenecks, and suggests optimization opportunities.
Use Case Examples
- Invoice processing: 5 minutes to 30 seconds
- Employee onboarding: 3 days to 4 hours
- Contract review: 2 weeks to 2 days
Measuring Success
Track cycle time, error rates, and employee time saved to quantify automation ROI.