Shared knowledge is more powerful than isolated intelligence.This is where most AI deployments in supply chain will fail: not because the models are wrong, but because they aren’t connected. The danger isn’t bad agents. It’s disconnected ones.
Please, not again.
Every few years, a new technology trend comes along. Each team, from marketing to finance, applies a tool with their own flavour. Before long, you're using five different tools for the same kind of job.
The same thing is starting to happen with AI.
One logistics team deploys an agent for tracking ETAs. Another builds a pricing model to select carriers. A third launches a chatbot to handle claims. Individually, these are smart moves. Collectively? Chaos.
That’s because AI, like software before it, doesn’t solve fragmentation, it amplifies it when done in isolation.
Each of these agents learns from different data. Each makes decisions in a vacuum. And none of them know what the others are doing. You’ve solved local problems but introduced global ones.
It’s easy to miss this, because the outputs look good. The chatbot is responsive. The tracker is accurate. The pricing model is efficient. But when those outputs don’t speak to each other, they start to contradict, duplicate, or even sabotage one another. Ironically, this is very similar to how people operate, too.
This is the AI version of the left hand not knowing what the right is doing. But with more maths.
So what’s the fix?
It’s not about fewer agents. It’s about smarter orchestration.
That’s what we’re building with Unity. Not just another agent, but also the layer that connects them. Think of it as middleware for intelligence - something that makes sure what your audit agent knows can inform what your negotiation agent recommends. Something that connects pricing logic with delivery performance. Something that gives leadership a single pane of glass.
Shared knowledge is more powerful than isolated intelligence.
This is where most AI deployments in supply chain will fail: not because the models are wrong, but because they aren’t connected. The danger isn’t bad agents. It’s disconnected ones.
As well as reducing duplication, Unity enables compounding. Because when each part of your supply chain knows what the others have learned, the whole system gets smarter. You start to see emergent intelligence instead of isolated automation.
And maybe most importantly, you avoid wasting time and money.
Because the truth is: we’ve already wasted a decade solving the same problem in software. We shouldn’t make the same mistake in AI. Don’t let every team build its own silo again — this time with better branding.
Use Unity. Tie it all together. Make the whole smarter than the sum of its parts.
