Topic: Decision Intelligence
Multi-agent systems, when decisions genuinely conflict
Several agents optimising separately will reach incompatible conclusions. The design question is not how they cooperate, but who resolves it when they do not.
The pilot that proved nothing
It ran on clean historical data, in an isolated environment, against a metric agreed afterwards. It succeeded. It told you nothing about whether this works.
How do you set up an S&OP process?
S&OP is a decision mechanism, not a meeting. Most implementations become a reporting exercise because who approves what was never agreed.
S&OP süreci nasıl kurulur?
S&OP bir toplantı değil, bir karar mekanizmasıdır. Çoğu S&OP girişimi, kimin neyi onayladığı belirsiz kaldığı için rapor sunumuna dönüşür.
Buying decision intelligence: the questions that separate vendors
Every vendor demonstrates a dashboard and claims explainability. Four questions establish quickly whether there is a decision layer underneath.
The pilot that proves nothing
It ran on clean historical data, in a sandbox, against a metric agreed afterwards. It succeeded. It told you nothing about whether this works.
Reasoning that survives contact with a domain expert
The test of an explanation is not whether it sounds plausible. It is whether the person who knows the process can disagree with a specific part of it.
The first decision you automate should be reversible
Not the most valuable one. Not the most frequent. The one where a mistake costs a correction rather than a customer.
The difference between an agent and an automation
Difference: An automation repeats a decision you already made. An agent makes the decision. That distinction decides which of the two you can safely deploy.
AI in Manufacturing and Retail: one decision, two clock speeds
The two verticals are sold different AI and run the same decision. What genuinely differs is constraint shape, reversibility and feedback latency — not the problem underneath.