How Agentic AI Is Quietly Rewriting The Rules Of Organizational Efficiency In ERP And Beyond
In a recent Forbes article, Komal Goyal, CEO of 6e Technologies, highlights how Agentic AI (artificial intelligence) is quietly revolutionizing enterprise operations—starting with ERP (enterprise resource planning) systems. While traditional automation and AI have improved efficiency, they remain rigid, requiring human input when priorities shift. Agentic AI changes that by acting independently, learning from context, and adapting in real time.
In ERP environments Agentic AI has shown the potential to cut process times by up to 60%. From invoice approvals to order fulfillment, it dynamically manages workflows, reducing errors and removing delays.
Key strengths of Agentic AI include:
- Goal-Based Execution: Agents pursue business outcomes, not just tasks.
- Real-Time Adaptation: They adjust actions based on live data.
- Continuous Learning: Agents improve from past decisions and user interactions.
- Exception Handling: Recurring issues are resolved without human escalation.
Beyond ERP, Goyal notes that Agentic AI connects siloed systems like HR, CRM, and IT, orchestrating workflows across departments. For example, when a new hire is onboarded, an agent can coordinate access, equipment, and provisioning—without manual follow-up. However, success requires more than tech. Goyal suggests that organizations need clear goals, high-quality data, operational oversight, and cross-functional buy-in. Change management and human involvement remain critical. Agentic AI is not just a tool—it’s a shift in how organizations operate. The real differentiator won’t be adoption, but how wisely it’s used.
