Agentic Process Automation

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Agentic Process Automation is the application of Agentic Ai to business processes.

(APA) leverages LLM-based agents to build on RPA – Robotic Process Automation, to automatically construct, execute, and adapt workflows, surpassing traditional RPA’s rule-based methods.

Agentic Process Automation refers to a more advanced form of automation that incorporates cognitive capabilities, enabling systems to make decisions and adapt to changing circumstances autonomously. APA systems are designed to mimic human intelligence and can handle complex tasks that require reasoning and judgment.

Key features of Agentic Process Automation include:

Machine Learning: APA systems can learn from data and improve their performance over time.
Natural Language Processing: They can understand and generate human language, enabling interaction with users.
Adaptability: APA systems can adapt to new scenarios and make decisions based on changing conditions.
Autonomous Decision-Making: They have the ability to make decisions without human intervention.

Enterprise organizations like Cineplex are building agents with tools like Microsoft Copilot and Power Platform, to build autonomous workflows like ticket refunds.