One of the new enterprise AI challenges we face is this: where do we put all the business rules, security rules, policies, and company specific practices we’ve built into our legacy systems for the last 30 years? If we want to embark on Agentic HR (or any other domain), do we rebuild all these rules in the Agents?

Well the big idea going forward is the development of a “context layer” or “semantic layer” which stores all the company structure, rules, and policies in a single place. Today ServiceNow introduced its “Context Engine” which plans to do this, and last week Gloat did the same.

In this podcast I explain what this is and the implications of various AI architecture options, and compare the idea of building this in ServiceNow or Gloat or using AI Agent tools from Workday, Oracle, SAP, or other incumbent vendors.

Additional Information

Agentic HR: Where Enterprise AI Is Going – Imperatives

Why AI Is A Massive Job-Creation Technology, Despite What You Think

The Age of the Superworker (and Supermanager)

Get Galileo: The AI Superagent for HR

Chapters

(00:00:00) - What is the Business Rule
(00:07:41) - ServiceNow, Business Rules Integration

The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go)

The Josh Bersin Company

The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go)