This topic is posted in our Q&A forum:
Read more and share your experience with the current use of Agentic AI in real-world decision-making systems.
This question was asked by John Brandon Elam. Here is Adam DeJans Jr’s answer: “AI means the cost of clerical intelligence is going to zero. The email, the report, the dashboard commentary, the SQL query, the first draft of code, the spreadsheet explanation, etc… all of that is becoming disposable. The hard part was never producing words or predictions. The hard part is deciding what should happen next, under constraints, uncertainty, incentives, and dollars at risk. AI is useful only when it is chained to that economic reality. Otherwise, it is just a very expensive way to manufacture confidence.” Link
Adam DeJans: “The goal is NOT to predict the future perfectly. The goal IS to make better DECISIONS under uncertainty.” Link
Artificial intelligence has recently made headlines for solving a number of “ErdĹ‘s problems,” conjectures left behind by the prolific mathematician. Now, a 23-year-old with no advanced training in mathematics but a ChatGPT Pro subscription has solved one such problem #1196. “He received the new solution in response to a single prompt to GPT-5.4 Pro. The AI seems to have used a totally new method for problems of this kind. It’s too soon to say with certainty, but this LLM-conceived connection may be useful for broader applications—something hard to find among recently touted AI triumphs in math.” Link (you can freely open it in an incognito window)
Martin Milani: “Every day, a new AI infographic shows up. More layers. More terms. More boxes and arrows. Architectures stacked on top of architectures.
Term salad put through a blender.
But almost none of them start with the one fundamental question that actually matters: What exactly is AI and where did it come from?” Link
Geoffrey De Smet reports from EURO Practitioners’ Forum, where “the group of experienced Operations Research (OR) data scientists shared their war stories. Industry experts, not academic researchers. Smart people, that poured their hearts into their projects for months or even years, only to see them fail to reach production, far too often. At times, it felt like an AA meeting. Still, they all see the massive potential of their work. Their direct impact on the daily operations of railways, drugstores, transports, factories, etc. Their successes bring massive benefits for their employers, their colleagues and their customers.” Link
In June, Stefaan Lambrecht will run several sessions with the above name. Here is his preview:
Let’s be blunt:
Most BPM initiatives fail.
Not because of tooling.
Not because of lack of effort.
But because they focus on the wrong thing. They optimise flows…
While the real problem sits elsewhere:
👉 Decisions — invisible, unmanaged, and owned by no one.
So we keep drawing better process diagrams… While the logic that actually drives the business stays buried in code, spreadsheets, and “that one expert who knows how it works.” Read more
Benny Cheung wrote: “I keep running into the same pattern: every fundamental AI problem I hit, some philosopher already diagnosed it centuries ago.” Link
DecisionCAMP-2026 is honored to welcome Philippe Kahn, a distinguished mathematician, inventor, and scientist, as its keynote speaker. Link
Dr. Roger Mozer: “Despite AI advances, many companies are not seeing meaningful improvements in overall performance. Strategy execution remains uneven. Cross-functional alignment is fragile. Decision-making is often faster in parts of the organisation, but no more coherent across it.
This disconnect is not a failure of AI. It is a misunderstanding of what AI actually changes.
AI does not simply improve tasks. It reshapes how decisions are made, how those decisions connect across workflows, and ultimately how organisations themselves are structured. When these three layers are misaligned, even the most advanced AI produces only local gains. When they are aligned, the result is not just better performance, but a different kind of enterprise.” Link
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