AI Automation Glossary

Agentic Process Automation

The next generation of automation — AI agents that understand goals, not just steps.

An automation approach in which AI agents autonomously execute end-to-end business processes, handle exceptions intelligently, and improve over time — replacing brittle rule-based scripts and RPA bots with goal-driven, self-healing workflows.

How it works in enterprise automation

Robotic Process Automation (RPA) was the first wave: software bots that mimic keyboard and mouse clicks. It was brittle — any UI change broke the bot — and expensive to maintain. Agentic Process Automation is the next wave. Instead of scripting every click, you describe the goal in English. The AI agent plans the execution path, uses APIs and integrations to perform each step, detects exceptions, and resolves them — either autonomously or by asking a human for guidance in plain English. Kognitos's patented Time Machine runtime is a core enabler: when an agent hits an unexpected exception, it pauses rather than fails, preserves full context, accepts human guidance in English, and resumes exactly where it stopped. The resolution becomes institutional knowledge for the next run.

Related terms

Deep dive: What is Agentic Process Automation? →

See Agentic Process Automation in action

Kognitos uses agentic process automation to power zero-hallucination enterprise automation — described in plain English, executed with deterministic precision.

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