Agentic Process Automation (APA) is an advanced form of automation that goes beyond traditional Robotic Process Automation (RPA). While RPA is effective for automating repetitive, rules-based tasks, APA introduces AI-powered agents capable of handling more complex, dynamic, and unstructured tasks. These agents can autonomously assess data, recognise patterns, formulate questions, and execute processes, allowing for the full automation of end-to-end workflows.
Autonomous Agents
APA utilises AI agents that can operate independently, making decisions and executing tasks without constant human oversight.
Advanced AI Integration
Incorporates large language models (LLMs) and generative AI to enhance the cognitive capabilities of automation agents.
Dynamic Adaptability
Capable of handling unstructured data and making real-time decisions, APA is suitable for complex workflows that traditional RPA cannot manage.
End-to-End Automation
Enables the automation of entire processes, reducing the need for manual intervention and increasing overall efficiency.