Why Rules Still Matter in an AI World

Posted on July 2, 2026 by decisionmanagementcommunity


Pierre Berlandier published the results of “a candid, side-by-side experimental comparison” of two approaches to decision management: rule-based and LLM-based. “We used a simple decision scenario as a test case: determining whether a traveler qualifies for access to the fictitious Big Blue airport lounges. We defined a set of simplified lounge access rules, implemented them both as formal business rules and as native, natural language instructions within an agentic platform, and evaluated their behavior.” Read the results here. A complete solution with IBM ODM is included.

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Making Better Decisions in Supply-Chain Planning

Posted on July 1, 2026 by decisionmanagementcommunity

Watch the interview with Jeff Metersky, senior vice president of strategy and innovation at GAINS, who cuts through the hyperbole and talks realistically about the benefits of agentic AI and improved supply chain planning. Agentic artificial intelligence may be top of mind for many in supply chain these days, but the notion that the technology is going to drive an autonomous supply chain is overrated, Metersky says. Link

“I don’t think that that’s the right destination for everything,” he says. “I don’t think that that’s where we want to land at the end of the day.” Certainly, there are decisions that can be automated, but others will always require human intervention and advice.  “AI is a tool in our tool bag, but it’s not the only tool.”

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DecisionCAMP-2026 Program is now Live!

Posted on June 30, 2026 by jacobfeldman

This year, we received an overwhelming number of submissions — so many, in fact, that we had to add an extra day to the event! Join us August 25–28 for four days packed with the latest in Decision Intelligence, Business Rules, Optimization, and AI-driven decision-making, brought to you by some of the brightest minds in the field.

Check out the full program here: https://decisioncamp2026.wordpress.com/program/

We’re thrilled to announce Philippe Kahn as our keynote speaker, along with an incredible lineup of presenters who will share real-world insights and cutting-edge approaches to decision automation. Whether you build decision services or apply them to drive better business outcomes, DecisionCAMP-2026 is the place to be. See you there! http://decisioncamp.org/

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How to govern work shared between humans and AI

Posted on June 23, 2026 by decisionmanagementcommunity

AI agents are entering operational workflows. Trisotech delivered a webinar about their experience of governing work shared between humans and AI agents. They provide practical BPMN patterns for task assignment, human review, supervision, and handoffs between human and AI performers. Link

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“The True Bottleneck Holding Back Agentic AI”

Posted on June 22, 2026 by decisionmanagementcommunity

Prof. Marlon Dumas posted: “Lately, we’ve seen a shift from AI that just thinks to AI that acts. But as autonomous agents start making decisions, buying services, and moving across internal systems, we face a critical legal and security hurdle: If an AI agent acts under my personal or corporate identity, I’m fully liable for everything it does!

Would we hand a blank, signed check and your power of attorney to a software program? Of course not! Yet, that’s exactly the risk profile we create when agents inherit the “unlimited liability” of their owner. If a company faces existential risk every time an agent executes a workflow, the natural response will be to heavily restrict what agents are allowed to do.” Link

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“Why I Love Supply Chain?”

Posted on June 21, 2026 by decisionmanagementcommunity

Adam DeJans Jr. shared a great post about why he loves supply chain. “Supply chain is one of the few fields where the problem looks simple on paper and then immediately becomes impossible the moment it touches reality. Move the right product, to the right place, at the right time, at the right cost. That sounds easy until you realize every word in that sentence hides a war. The “right product” depends on demand that is uncertain. The “right place” depends on networks, capacity, labor, transportation, inventory positioning, and service promises. The “right time” depends on lead times, supplier behavior, weather, ports, trucks, warehouses, and human decisions. The “right cost” depends on tradeoffs that are almost never visible in a spreadsheet until someone makes the wrong decision and the business feels it.

That is why I love supply chain. It is not just forecasting. It is not just optimization. It is not just operations. It is economics, uncertainty, negotiation, incentives, systems design, human behavior, and math all colliding at once. A supply chain is basically a living organism where every decision creates a reaction somewhere else.” Link

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When AI builds itself

Posted on June 4, 2026 by decisionmanagementcommunity

“For most of AI’s history, humans drove every step in its development cycle. But at Anthropic, we are delegating a growing share of AI development to AI systems themselves, which is speeding up our work.

Taken far enough, and given enough compute, that trend points to an AI system capable of fully autonomously designing and developing its own successor. This is called recursive self-improvement. We are not there yet, and recursive self-improvement is not inevitable. But it could come sooner than most institutions are prepared for.” Link

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Decision Optimization and LLM

Posted on June 1, 2026 by decisionmanagementcommunity

Gurobi, the company behind one of the leading Integer Linear Programming (ILP) solvers, recently published a white paper “Intelligence, Optimization, and the
New Decision Frontier” (written by Adam DeJans). It describes different integration techniques of optimization tools such as ILP solvers and LLM-based inference. Link

Posted in Decision Modeling, Decision Optimization, LLM | Leave a comment

Martin Milani: “Don’t delegate reasoning and operational decisions to systems.”

Posted on May 29, 2026 by decisionmanagementcommunity

Martin Milani: “This is not an argument against AI, it is an argument for not outsourcing the thing that made us capable of building it. It’s manageable when any of these tools simply extend human thinking and intelligence. It becomes a serious problem when we start delegating thinking, reasoning, judgment, sequencing, and operational decisions to systems optimized for linguistic continuation, not thinking or reasoning. The deeper issue isn’t about AI. It’s about what happens to us and the shift.“

“Civilizations advance when humans reason, challenge assumptions, and look for causes beneath appearances. They stagnate when repetition replaces reasoning, fluency replaces intelligence, and authority replaces inquiry.
Reason is not the default, it is a fragile invention, and the way it gets lost is always the same. The real danger isn’t that AI sounds intelligent. It’s that we may stop insisting on intelligence ourselves.” Link

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The era of AI viruses has begun

Posted on May 26, 2026 by decisionmanagementcommunity

Martin Milani wrote today: “MCP gives agents tools to read your files, read/send your emails, and query IT systems. It’s what makes agents actually useful. It’s also a wide-open door. There’s no inherent concept of security in MCP. No framework. No trust hierarchy. No way for the agent to distinguish between “my user told me this” and “a webpage told me this.” They land in the same context window with the same authority.

Malicious font files injected into webpages could manipulate agents into leaking sensitive data through MCP-enabled tools. The trap reads the page. MCP executes the action. Data leaves the building. Nobody noticed.

Every enterprise MCP implementation is custom. Every implementation is different. There is no standard security framework. Which means there is no standard defense. Attackers need to find one gap in one implementation. Defenders need to secure all of them. The era of AI viruses has begun.” Link

Posted in Agents, LLM, Security | Leave a comment