AI Agents Need Something Chatbots Don’t: Access to Business Processes
A chatbot answers a question. An enterprise AI agent has to get work done across real systems.
Generative AI changed the way people interact with information. The next transformation is changing how AI interacts with business processes.
There is an important difference.
That requires much more than a language model. It requires integration.
AI needs connected systems
Imagine an AI agent evaluating a transaction. The information it needs may exist across:
Without access to those systems, the agent has only part of the picture. This is why enterprise AI and enterprise integration are converging.
Enter SmartAgents
InterWeave SmartAgents are designed to operate within an automation environment. A SmartAgent can participate alongside SmartFlows and connected applications.
The important concept isn’t simply that AI exists inside the platform. It’s that AI becomes part of an orchestrated process.
The architecture behind enterprise AI
The enterprise AI stack increasingly looks like this:
Each layer matters.
The future of enterprise AI isn’t simply a better chatbot.
It’s AI embedded inside governed business processes.