Скачать или смотреть AI Agents: Turning Enterprise Ontology into Digital Workforce Superpowers

There is a lot of excitement on Wall Street around AI Agents in the enterprise. If you aren't clear on what AI Agents are and why they matter, this post is for you.

The average enterprise relies on 300+ business applications that employees use to get their work done.

In most cases, each application contains fragments of information needed to complete workflows and achieve business outcomes.

Every Company Has an Ontology. Not Every Company Realizes It.

An ontology describes what your business actually does, how it's structured, the way it creates value, what differentiates it from competitors, etc.

Think of your ontology as roughly 500 core concepts.

This ontology exists as business logic and intellectual property scattered across documents, presentations, emails, Slack channels, knowledge in the heads of employees, and enterprise applications.

The Business Application Fragmentation Problem

Consider a sales representative trying to get a deal done with this workflow:
Check customer data in the CRM
Verify product availability in the ERP
Calculate pricing in another tool
Generate contracts in a separate system

Each system contains pieces of the same concepts (customer, product, pricing), but they're siloed and inconsistently represented, creating friction and inefficiency.

Making the sales person slow, not fast. You know how much sales people dig speed...

AI Agents: Your Ontology-Aware Digital Workforce

AI Agents function like employees with photographic memories who understand your entire company ontology across all applications.

Unlike humans, they don't get confused when the same concept appears differently in various systems as they have a comprehensive mental model that enables them to connect the dots.

This prevents friction, mitigates risks, and enables you to move at a previously unimaginable pace.

Imagine messaging your AI Agent with a goal and constraints, then having it develop and execute a plan while keeping you informed - no more logging into dozens of different applications so you can focus on much more important, human work.

The Foundation: Data-Centricity

The effectiveness of AI Agents depends in large part on data centrality - the more centralized your data, the greater impact your AI Agents will have.

$1 bet Wall Street will start asking publicly traded companies more and more about enterprise investments to move from application-centric to data-centric architectures to unleash AI Agent + human collaboration...

Humans + machines. Not humans vs machines.