Enterprise AI is moving toward Decision Systems

Posted on March 26, 2026 by decisionmanagementcommunity

Adam DeJans Jr describes how to think about decision systems through the lens of sequential decision problems. “Most operational environments are not one-time optimization problems. They are ongoing processes where decisions must be made repeatedly as the state of the world evolves.

Consider a transportation network. At any given moment, there is a current state of the system: trucks are located in different regions, orders are arriving, drivers have hours-of-service constraints, weather conditions are changing, and new information is constantly entering the system. Any decision we make (dispatching a truck, accepting a load, repositioning inventory) changes that state and affects the options available in the future. From a technical perspective, these systems usually revolve around a few core components.” Link

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Posted in Architecture, Decision Modeling, Decision Optimization, Decision Tracing, Uncertainty | Leave a comment

Bigger Models or Smarter Teams?

Posted on March 25, 2026 by decisionmanagementcommunity


Philippe Kahn posted today at LinkedIn: The focus on creating larger AI models has been prevalent, but what if the key to achieving AGI lies in collaboration among AI systems? It’s clear that relying on a single “God Model” may not be the solution. The future of AI is not about a singular, massive brain, but rather an ecosystem of agents that engage in debate, verification, and correction. Link

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Posted in Agents, Artificial Intelligence, Human Intelligence, Human-Machine Interaction | Leave a comment

New Tools and Skills Shift

Posted on March 16, 2026 by decisionmanagementcommunity

Read the LinkedIn article written by Jacob Feldman

Posted in Digital Transformation, Human-Machine Interaction, Trends | Leave a comment

Meaning-Driven Architecture

Posted on March 12, 2026 by decisionmanagementcommunity

Jack Jansonius published an article, “When Data Doesn’t Know What It Means.”

Many enterprise data systems suffer from a hidden problem: the data no longer “knows” what it means. Over decades, business meaning has been fragmented across processes, rules and technical structures, making systems increasingly opaque and difficult to control.

Meaning-driven architecture offers an alternative. By explicitly modelling goals, decisions and domain concepts, systems become transparent, testable and easier to govern. Instead of hiding logic in process flows or rule sets, decision tables make reasoning explicit—providing a stable semantic foundation for both traditional IT and AI. Link

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Posted in Architecture, Decision Intelligence, Decision Modeling, Knowledge Representation, Semantic Web | Leave a comment

Rules as Code 2026 Conference started in The Hague

Posted on March 10, 2026 by decisionmanagementcommunity

https://rules-as-code.yellenge.nl/

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From Process-Centric to Decision-Centric Architecture

Posted on March 10, 2026 by decisionmanagementcommunity

Stefaan Lambrecht from TRIPOD shared a typical story for insurance operations. Embedding critical business logic within a script inside a process cost the insurer €50 million. This wasn’t caused by careless people or bad intentions. It happened because the decision was invisibly embedded in a process where no one thought to look. That situation is far more common than most insurers realize. The natural conclusion is in the title. Link

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Posted in Architecture, Decision Modeling, DMN, Insurance Industry | Leave a comment

From Buzzwords to Decisions

Posted on March 7, 2026 by decisionmanagementcommunity

John Brandon Elam published an article, “Define Your Term or Stop Using Them” with the subtitle “Why the smartest-sounding people in the room are often contributing the least.”

The fundamental unit of business value isn’t data. It isn’t AI. It isn’t any specific technology. It’s the decision. Everything else is infrastructure in service of making better decisions more consistently. But here’s the thing: if you can’t define the terms you’re using, you can’t define the decisions you’re trying to improve. And if you can’t define the decisions, you’re not optimizing anything. You’re just adding complexity and calling it progress. Link

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Posted in Artificial Intelligence, Decision Intelligence, Human Intelligence | Leave a comment

Decision Modeling by Adam DeJans Jr.

Posted on March 4, 2026 by decisionmanagementcommunity

Adam DeJans Jr. describes the technical approach he uses, regardless of whether the tool is for optimization, ML, simulation, or even a rules engine: Link

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Posted in Decision Modeling, Decision Optimization | Leave a comment

DecisionCAMP-2026 Expert Panel

Posted on March 3, 2026 by decisionmanagementcommunity

On August 27 at 1:00 PM EDT, DecisionCAMP will host an interactive “Ask an Expert” panel moderated by James Taylor of Blue Polaris.

This Year Panelists:
– Alan Fish, FICO
– Gary Hallmark, Oracle
– Guilhem Molines, IBM
– Denis Gagne, Trisotech
– Carlos Serrano-Morales, Sparkling Logic
– Adam DeJans Jr., Gurobi

Register for free at https://decisioncamp2026.wordpress.com/free-registration/
If you plan to present, see Call For Presentations: https://decisioncamp2026.wordpress.com/call-for-presentations/

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What small teams can do today

Posted on March 2, 2026 by decisionmanagementcommunity

See this LinkedIn post: “Two people with the right tools can outbuild a team of 20. The gap between them and everyone else is compounding every week:

– small teams are now out-shipping 100+ people orgs
– tools that replace whole teams now cost $20/month
– iteration cycles shrank from weeks to hours
– the bottleneck moved from building → deciding

Running a two-person company in 2026 looks like:

– prototypes → production (same week)
– specs → code (same day)
– PM (me) ships code with AI in the loop
– “we should hire” → “we should ship”

What changed isn’t talent. It’s leverage.” Link

Posted in Software Development, Trends | Leave a comment