Chapter 2: How Is AI Becoming Suitable for Industrial Use?

The widespread disillusionment with AI is justified. It is not due to AI itself, but to the fact that it is being systematically deployed in the wrong places.

Dr. Norbert Lotter
Dr. Norbert Lotter


For many things, solid classical programming is superior to AI, because it works reliably and reproducibly. The second chapter shows how to deploy AI precisely where it delivers its real added value, namely embedded in controllable processes, with a deterministic backbone, and with agents that collaborate directly within the applications rather than producing results in a separate chat window.

Related News

Part 1: A Model for Developing and Executing AI-Supported Processes

Part 1: A Model for Developing and Executing AI-Supported Processes

Why is a carefully worked-out collection of prompts not enough to deploy AI in productive processes?

Part 2: Deterministic Backbone, Targeted AI

Part 2: Deterministic Backbone, Targeted AI

Where exactly in the process should AI decide, and where better not?

Part 3: The Agent in the User Interface

Part 3: The Agent in the User Interface

What changes when an AI agent no longer merely accesses an application, but becomes part of the application?

Part 4: How Reliability Can Be Made Measurable

Part 4: How Reliability Can Be Made Measurable

How do you know that an AI agent reliably fulfills a task?

Back