AI
Plant data, put to work.
Practical AI for production teams. Ask your data a question, connect it to your own manuals and SOPs, hear what operators keep saying, spot unusual behavior and know when the job will finish. Next up: change schedules and add vacation days on your Vorne board by asking.
Add December 24, 25 and 26 as vacation days on Lines 3, 5 and 7.
I found 9 vacation days to make. Nothing is changed yet. Review the list, then confirm.
| Line | Day | Now | Proposed |
|---|---|---|---|
| Line 3 | Dec 24 | Scheduled | Vacation day |
| Line 3 | Dec 25 | Scheduled | Vacation day |
| Line 3 | Dec 26 | Scheduled | Vacation day |
| Line 5 | Dec 24 | Scheduled | Vacation day |
| and 5 more | |||
Featured, coming soon
Change schedules and add vacation days by asking.
Tell Advisor the change you want on your Vorne board. It lists every edit it would make, you review the list, confirm, and it is applied.
- Changing schedules One request for every line and day it applies to.
- Adding vacation days Shutdown weeks and holidays across the lines you name.
Available today
Five tools you can use now.
Each one works on the production data you already collect. Illustrations on these pages use fictional data.
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Advisor
Ask plain-language questions about production, jobs, materials and cost. Answers come back as a number, a chart or a sortable table, tied to the records they came from.
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Knowledge graph
Brings in machine manuals, SOPs and process documents, links them to what Advisor sees in your production data, and cites the document when it suggests a fix.
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Comment analysis
Groups operator notes that describe the same problem, and counts how often each one appears and on which shift.
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Anomaly detection
Learns a job's usual production behavior from earlier runs, then flags a stretch outside that pattern with start and end times.
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Finish-time estimate
Estimates a clock time for when the running job will finish, from earlier runs of the same job, stops included.
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Coming soon
What comes next.
These ideas depend on plant-specific data, such as equipment sensor readings and maintenance history.
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Coming soon
Equipment health monitoring
Joins vibration, motor current and temperature with operating context and maintenance history into one health trend.
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Coming soon
Recurring failures
Groups work orders by asset and cause and marks the repeat failures that deserve a root-cause review.
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Coming soon
Failure-exposure estimate
Places a low-to-high range of possible loss beside the losses Costing already reports, using assumptions the plant approves.
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Tell us which AI tool you would use first.
Bring a production question, a stack of operator notes or a schedule you are tired of editing, and we will show what the tools do with your data.