Unlock Industrial AI Agents Operation with this Simple Data Model

Traditional data models in manufacturing are powerful, but often too complex, rigid, and inaccessible.

They require deep expertise and limit democratized access to real-time insights.

What if we could reimagine data models to reflect what’s actually on the shop floor?

What people see, touch, and work with every day.

That’s the heart of the 𝐚𝐫𝐭𝐢𝐟𝐚𝐜𝐭 𝐦𝐨𝐝𝐞𝐥, a simplified, intuitive structure for digital manufacturing data.

It’s a human-first way to represent data that reflects how manufacturing actually works.

𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐀𝐫𝐭𝐢𝐟𝐚𝐜𝐭𝐬:

These are the tangible things; machines, materials, rooms, and tools. If you can touch it, it’s a physical artifact.

𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐫𝐭𝐢𝐟𝐚𝐜𝐭𝐬:
These represent actions and states; orders, defects, events, and tasks. They're not physical, but they’re essential to operations.

By classifying everything in manufacturing as either physical or operational artifacts, we can create a model that’s:

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✅ Intuitive
✅ Accessible
✅ Ready for AI
✅ Easy to scale

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And it turns out, most manufacturing environments don’t need more than a handful of artifact types. Typically, under ten physical artifacts and a similar number of operational ones.

Once you remove the burden of modeling transactions (let your agents, human or AI, handle those), you open the door to Composable Agentic AI.

Systems where intelligent agents operate on and interact with artifacts in real time.

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