Stand M106 | NH Conference Center, Koningshof

23 April 2026

When you speak to most engineers about AI in operations, you’ll get one of two reactions: cautious interest, or quiet scepticism. Both are reasonable.

It’s exactly the conversation we expect at the Manufacturing Technology Conference 2026 on April 23rd—because despite years of hype, most AI stories still describe a future that hasn’t quite arrived on the factory floor.

So, let’s be specific about what we mean and what we don’t.

It’s not “can AI help us?” It’s: “If AI is making decisions in my workflow, what exactly can it touch and what happens when it gets something wrong?”

That’s a specific engineering question. And it deserves a specific answer.

In manufacturing and packaging environments, the workflows that break down are rarely the single point of failure. They’re the everyday cascade: a customer changes their label spec, which triggers a WMS update, which someone is tracking in Excel, which someone else hasn’t opened yet. By the time the deviation surfaces, the line has already moved on.

The problem isn’t that people aren’t paying attention. It’s that the handoffs between systems (ERP, WMS, spreadsheets, team inboxes) create gaps that no single tools own.

The question all operations teams are actually asking

WEM No-Code’s approach to agentic AI is built around a concept we call orchestrated agents: each agent is purpose-built for a specific task within workflow, operates within predefined boundaries, and can only access data and perform actions it’s been explicitly authorised to do.

In practice, that looks like this in a packaging or manufacturing context:

• A deviation is flagged during a quality check. An agent captures it, logs it, and triggers the right notification, without waiting for a human to manually route it.

• A supplier change comes in. An agent cross-references the affected SKUs, updates the relevant workflow.

• A return arrives.An agent initiates the reverse logistics flow, assigns it to the right inspection queue, and records traceability (end to end).

Each agent has a narrow job. It doesn’t improvise. It doesn’t wander into adjacent workflows. And every action is logged and auditable, so if something goes wrong, you can see exactly what happened and why.

Where AI agents fit in—and where they don’t

Here’s the part that typically surprises engineers: you don’t need to hand this to IT to configure. The WEM No-Code platform is built so that the people who understand the packaging process—ops managers, logistics leads, quality teams—can design, adjust, and redeploy these agent-driven workflows themselves.

That’s not a small thing. One of the most persistent frustrations in manufacturing operations is the gap between “we need to change this process” and “IT can get to it in six weeks.” When a customer spec changes or a supplier swap lands on a Friday afternoon, six weeks isn’t an option.

The goal isn’t to remove IT from the picture. It’s to make sure the people closest to the problem have the tools to respond at the speed the problem demands.

The no-code part matters more than it sounds

We’ll be walking through real packaging and manufacturing workflow scenarios at the event—including how agent-driven automation handles deviations, supplier changes, and returns without manual handoffs. Come with your actual workflow problem, and let’s see what it looks like in WEM.

Prefer to plan? Send us a note, and we’ll hold a time for you.

Register for the event | Book a time at our stand

One thing worth naming directly: this works best when your processes are already defined. WEM accelerates clarity, it doesn’t create it. If your packaging workflows are still living in shared but unwritten knowledge and informal workarounds, the first step is getting those on paper. Once they are, moving them into WEM is fast. But the process work must come first.

The concern that comes up most often isn’t really about AI. It’s about accountability. If an automated agent takes an action that causes a problem, who owns it?

With WEM No-Code, that question has a clear answer: every agent action is governed by the workflow logic that your team defined. The boundaries aren’t just documentation, they’reenforced. Agents can’t act outside their scope; can’t access unauthorised data and every decision they make is logged in a full audit trail.

You’re not handing control to a black box. You’re extending your own process logic into something that can execute it faster, more consistently, and without dropping handoffs between shifts or systems.

See it in action at Stand M106

The honest constraint

Control isn’t gone, it's redefined

Date

Location

23 April 2026

Stand M106
NH Conference Center, Koningshof