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The Future is Agentic: What It Means for Your Enterprise
We are entering an era where automation is no longer static — it’s goal-driven, adaptive, and intelligent. Agentic Automation moves beyond task execution to dynamic orchestration of tasks, decision-making, and self-improvement.
Agentic Automation is not just "smarter RPA." It’s a fundamental leap toward systems that can dynamically adapt, learn, and self-orchestrate across tools, workflows and processes.
AI-Enabled Automation
Traditional automation enhanced by AI insights (e.g., ML models, NLP) — still largely predefined paths, not autonomous. Example: RPA bot using AI OCR to extract data but following a static workflow.
AI Agents
Software entities that can perceive environments, set goals, and take action autonomously. Example: AI agent that manages invoice approvals based on evolving business rules.
Agentic Automation (or Orchestration)
Practical application of Agentic AI within enterprise automation — agents managing processes, workflows, and decisions. Example: Agent managing an end-to-end loan origination process across departments.
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