AI Agents Are About to Blow Up the Business Process Layer

When people think of generative AI, many envision it working as part of a “system of engagement” — a customer service agent, a supply chain management tool or a way to intelligently interact with and search an organization’s PDFs and other proprietary data.

That’s an accurate view — for the next year or two, applications that intelligently create content by leveraging large language models (LLMs) will remain a primary AI focus for enterprises.

But consider this: Most of the code written at enterprises sits within business processes — systems like inventory planning, which sit between the engagement layer and the more rigid systems of record (an organization’s data, etc.) How will GenAI benefit that layer? How can an organization improve its business processes with this pervasive technology?