The Manufacturing Intelligence Diagnostic

You have the MES, the ERP, fifty dashboards. Why are decisions still based on what Greg texted at 2 AM?

This 2-minute assessment reveals your tool sprawl score, data leverage gap, and which AI agents could deliver value on your floor today.

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No sales pitch. Just a real picture of where you stand.

Operational Reality

How do decisions actually get made on your floor - and how fast do problems become actions?

When OEE drops unexpectedly, how does your team figure out why?

We have automated root cause analysis Someone queries dashboards and cross-references manually We call the person who was on shift We usually don't know until someone investigates days later

If your most experienced operator left tomorrow, what would the plant lose?

Nothing critical - our processes and knowledge are documented and systematic Some institutional knowledge, but we'd adapt within weeks Significant tribal knowledge about why certain lines behave certain ways We'd be in serious trouble - they ARE the knowledge graph

Is the response to the same problem consistent across shifts and sites?

Yes - standardized response protocols embedded in our systems Mostly - we have SOPs but execution varies by person Somewhat - experienced shifts handle it well, others struggle No - it depends entirely on who's working

Systems & Data

What's in your stack, and how much of it is actually working for you?

Which of these systems are live on your floor? (Select all that apply)

PLC / SCADA Historian MES ERP (SAP, Oracle, etc.) CMMS / Maintenance QA / Quality system Spreadsheets / manual logs WhatsApp / group chats for escalation

Can any two of these systems answer a question together without a human translating?

Yes - we have unified data models across systems Partially - some integrations exist but most require manual correlation Rarely - each system is its own island No - we're the translation layer between systems

What percentage of the data your systems collect actually drives a decision or action?

Most of it - data drives our daily operational decisions Maybe 30-50% - we use dashboards but a lot goes unused Less than 20% - we collect far more than we act on Almost none - we collect data because we're told to

Intelligence Readiness

What's your foundation for AI - and what problem keeps you up at night?

When a process variable drifts out of spec, what happens?

An automated system detects it and triggers a corrective action or alert An operator notices it on a screen and escalates manually It shows up in a report the next day It often goes unnoticed until there's a quality or downtime event

Can you trace a quality defect back to the specific machine parameters that caused it?

Yes - end-to-end traceability is built into our systems Sometimes - if we dig through multiple systems manually Rarely - the data exists somewhere but connecting it is extremely hard No - quality and production data live in completely separate worlds

What's your biggest unsolved problem on the floor right now?

Predicting and preventing unplanned stops before they happen Bottlenecks and variations that reduce OEE and throughput Manual adjustments that increase variability and product loss Product variance and rework from undetected deviations

Your Manufacturing Intelligence Profile

Manufacturing Intelligence Score

0

Tool Sprawl Index

Systems in Use 0

Data Leverage Gap

Data Driving Decisions 0%

Industrial Agents For Your Floor

Based on your responses, these are the AI agents that could deliver the most value on your production lines today.

See What This Looks Like On Your Line

This diagnostic identifies where you stand. A 30-minute technical session shows what's possible on your specific production environment.

Book a Technical Session