Reading a factory floor like a diagnostic chart

A floor tells you what's wrong if you know how to read it. Most AI efforts skip the reading and go straight to the tool. We do the opposite.

The first walk-through

We ask a small set of questions, in order:

• Where does time disappear? Not "what's the biggest problem" — where, specifically, do hours leak that nobody has measured.
• What does someone know that the system doesn't? Tribal knowledge is the most valuable and most fragile asset on the floor.
• What already broke last month, and how was it fixed? The fix is usually the seed of the recurring agent.
• Who owns this when it's 2am on Saturday? The answer decides whether a solution will survive.

Why this is Agentic-AI-shaped

These questions produce a ranked, evidence-backed root-cause list — exactly the input VForge Diagnostic turns into a deployable agent. The chart we're reading isn't a machine's; it's the operation's behaviour over time.

VForge Field Notes are written plainly from real diagnostic engagements. Figures shown here are illustrative of method, not client results.