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ERP Isn’t Ready for Agentic AI. But That’s Exactly What We’re Fixing

Published Jul 11, 2025
AI Solutions
Tech
Banking
Manufacturing
Public Sector

Enterprise AI is evolving. In application, and urgency. Teams are moving past pilots and into “we actually need this to work in production” territory. But there’s a problem no one wants to say out loud: ERP systems – the backbone of the enterprise, aren’t ready.

They weren’t designed for autonomous agents, orchestration across complex workflows, or real-time human-in-the-loop collaboration. And as organizations push forward into the next phase of AI, that’s becoming a serious constraint.

Why Enterprise AI isn’t scaling

"Despite years of hype, only 4% of enterprises have developed mature, scaled AI capabilities that consistently deliver business value across functions." (BCG, 2024)

It’s definitely not because of a lack of ambition or budget. It’s because the systems these agents are expected to operate in—HR, Finance, Procurement—are still stuck in fragmented, hard-to-extend architectures. 

  • Legacy applications with brittle integrations

  • Ticket-based support that slows execution

  • Siloed teams with inconsistent workflows

  • Vendors bolting on AI as a demo, not a real solution

Most agentic AI efforts fail not because of the model, but because the system underneath can’t support it.

GenAI Was the Easy Part

“Unlike genAI, which could be implemented as a standalone or bolted on somewhere, agentic AI requires far deeper integration — at least if you want to utilize it for maximum benefit.” (CIO.com, 2025)

GenAI was simple to showcase: plug in a chatbot, let it generate a doc, call it innovation.

But agentic AI is operational. It’s about systems that act, decide, and trigger real business processes. It requires full-stack awareness of workflows, data structures, policy rules, and when a human needs to step in. 

That means true integration into ERP. 

What’s Actually Needed

To make agentic AI work inside the enterprise—especially in ERP-heavy environments—companies need:

  • System-native agents that operate within core platforms like Oracle, Workday, SAP

  • Real-time orchestration across applications, not just point automation

  • Governance and visibility over what agents are doing and when

  • Human-in-the-loop fallback, so teams stay in control without blocking automation

And most importantly, they need to do all of that without ripping out the systems that already run the business.

Dayos is built for this reality

We don’t do bolt-on AI. We offer deeply integrated agents that work within your existing ERP environment—handling complex workflows across IT, HR, Finance, and Procurement with speed and reliability. 

  • Built for enterprises running multiple, or hybrid ERP environments or managing different providers by business unit or region

  • Full-service, end-to-end AI enablement as the groundwork for true transformation 

  • Agents that can handle complex, specialized workflows

  • SOC 2 & ISO 42001 compliant 

We help enterprises operate more like sovereign AI environments: purpose-built, secure, and self-governed. It’s no coincidence that this is the #1 indicator of success among top-performing organizations adopting AI today. 

Final Thoughts

AI isn’t slowing down. But if your ERP environment can’t support agentic automation, your progress will.

At Dayos, we’re solving the integration, orchestration, and control challenges that are stopping real enterprise AI from happening.

If you're done with pilots and ready to move AI into production—especially in ERP—we're ready to help.