Business automation is being transformed by AI, specifically Generative AI or Large Language Models (LLMs). More recently, the Agentic AI pattern has gained real traction among those trying to apply LLMs in an enterprise context. Like any new pattern, there’s a ton of hype about Agentic AI but it’s clearly here to stay.
I have been thinking about this new paradigm and this new technology and my 25+ years of thinking about decision automation plays into it. Specifically, how you identify, integrate, design and build decision agents in an agentic framework. This is a hot topic among our clients at Blue Polaris, as you can imagine, and a space in which we are investing heavily.
While I was thinking about this, the folks at IBM introduced me to lightboards and their incredible lightboard channel – IBM Technology – YouTube. There’s a huge array of great videos on here – from very short to very long on everything from AI to data storage to REST to Docker.
I really wanted to be part of this great channel, so I recorded three lightboard videos for it:
The first is an overview of the role of Decision Agents in Agentic AI – How AI Agents and Decision Agents Combine Rules & ML in Automation. This discusses an agentic AI approach to loan origination and shows how Decision Agents can deliver efficient, consistent decision-making in an agentic framework.
The second drills into how a Decision Agent works – Building Decision Agents with LLMs & Machine Learning Models. This discusses how they complement LLMs and how decision agents can combine LLMs, machine learning models and business rules to enable scalable decision-making.
The final one shows specifically how you can design these Decision Agents visually using the Decision Model and Notation or DMN standard – Designing AI Decision Agents with DMN, Machine Learning & Analytics. It shows how DMN lets you think through the behavior you need in a decision agent and design an agent that leverages the right mix of technologies for a successful implementation. You can check out mine and Jan’s book Real-World Decision Modeling with DMN for more details on decision modeling.
I hope you enjoy them.
