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Use Cases

Manufacturing Use Cases for Hybrid AI

Where Aktuara saves your engineers, technicians and quality teams time first. Each use case shows what the model sees, which route handles it and where a person decides.

IoT Sensor Streams

Early warnings from connected machines, explained in plain language.

What it does
Watches vibration, temperature, pressure, current and energy data from your machines and gateways, and flags patterns that differ from normal operation.
Grounded in
Your historian and IoT data, alarm limits, equipment history and condition-monitoring procedures.
Human in the loop
Maintenance engineers confirm each alert before any work order is raised. Nothing is written back to machines.
What you measure
Alerts confirmed as useful, false alarms per week, and time from first signal to planned action.

Private AI Pilot-ready

Predictive Maintenance

A failure you saw coming, fixed in a planned stop.

What it does
Compares current sensor trends with past failures in your own equipment history and estimates how soon action is needed.
Grounded in
Maintenance logs, failure records, spare-part history and your maintenance SOPs.
Human in the loop
The maintenance planner decides whether and when to intervene, and records the outcome so the next answer improves.
What you measure
Unplanned downtime on pilot assets, emergency repairs, and parts ordered in time.

Private AI Pilot-ready

Camera Vision and Video Analytics

Your plant’s cameras, finally understood.

What it does
Classifies defects at line speed, finds events in hours of video from a plain-language question, explains robot cell stops with the matching clip, and checks assembly step order.
Grounded in
Your defect catalogue, work instructions, PLC alarms and safety procedures.
Human in the loop
Inspectors, engineers and safety staff confirm every flag. No facial recognition and no scoring of individual workers.
What you measure
Agreement with inspectors, time to find an event in video, and repeat stops per cell.

Private AI Pilot-ready

Defect Classification

Inspectors confirm instead of starting from scratch.

What it does
Classifies defects from line cameras and phone photos against your defect catalogue, and spots clusters that suggest a process cause.
Grounded in
Defect catalogue, inspection records, rework rules and customer requirements.
Human in the loop
The inspector confirms or corrects the class; corrections become training data for your own model.
What you measure
Classification agreement, inspection time per part and defects escaping to the customer.

Private AI Pilot-ready

Engineering Change Summaries

Every affected drawing, BOM line and order in one view.

What it does
Summarises a change request and lists affected drawings, BOM lines, routings, customer approvals and open orders.
Grounded in
PLM and ERP records, change history and your change-management procedure.
Human in the loop
The change board reviews the summary and makes the decision.
What you measure
Time from change request to decision, and changes reopened because something was missed.

Private AI Pilot-ready

Process Deviations and Yield

From “yield dropped” to a ranked list of likely causes.

What it does
Correlates scrap, SPC and process parameters with material lots, shifts and maintenance events to rank likely causes.
Grounded in
Validated process windows, SPC records and troubleshooting guides.
Human in the loop
Process engineers decide what to test and adjust, within the validated window.
What you measure
Time to root cause, scrap rate and repeat deviations.

Private AI Pilot-ready

SOP and Work Instruction Q&A

The exact step from the approved procedure, with the section cited.

What it does
Answers operator and technician questions in plain language, quoting the current approved work instruction.
Grounded in
SOPs, work instructions, safety procedures and FMEAs, with document versions tracked.
Human in the loop
Where a procedure requires sign-off, the answer says so and the team leader signs off.
What you measure
Time to answer, questions escalated to engineers and answers rated correct.

Private AI Pilot-ready

Supplier, Market and Regulation Research

Public news and regulation, mapped privately to your business.

What it does
Summarises public supplier news, commodity prices and regulation such as the EU Machinery Regulation, then maps it privately against your supplier list and products.
Grounded in
Public sources only for the managed step; your supplier list stays in your cloud.
Human in the loop
Buyers and compliance teams check the impact before acting.
What you measure
Hours spent on research and time to react to supplier events.

Managed AI Pilot-ready

Aktuara supports engineering, maintenance and quality work. It does not control machines or make decisions: a qualified person reviews every output, and nothing changes on a machine, line or robot automatically.

Scenarios by Team and Task

Typical first questions from each team. Pilot-ready means we can start with your data now; validation first means we agree the acceptance criteria with your experts before go-live.

Maintenance “Which assets are likely to fail before the next planned stop?” Grounded in: Your sensor data, equipment history and maintenance logs. Private AIPilot-ready Quality Inspection “Which defect class is this, and is rework allowed?” Grounded in: Your defect catalogue, inspection images and work instructions. Private AIPilot-ready Engineering “What does this change request affect?” Grounded in: Your drawings, BOMs, routings and change history. Private AIPilot-ready Process Engineering “Why did yield drop on line 6 this week?” Grounded in: Your SPC data, process windows and troubleshooting guides. Private AIPilot-ready Robotics and Automation “Why does this robot cell keep stopping?” Grounded in: Your cell fault logs, PLC alarms and maintenance history. Private AIValidation first Supplier Quality “Draft the 8D report for this non-conformance.” Grounded in: Your non-conformance records, audit findings and 8D template. Private AIPilot-ready Health and Safety “Which incidents this year share a root cause?” Grounded in: Your incident reports, risk assessments and safety procedures. Private AIValidation first Purchasing “What changed for our key suppliers this quarter?” Grounded in: Public news, filings and trade press. Managed AIPilot-ready Regulation and Standards “What changes in the new Machinery Regulation for our products?” Grounded in: Public regulatory texts and official guidance. Managed AIPilot-ready Every Team “What does our procedure say for this situation?” Grounded in: Your SOPs, work instructions and safety procedures. Private AIPilot-ready IoT and Connected Machines “Which connected machines are sending abnormal data right now?” Grounded in: Your live IoT and PLC data, alarm limits and equipment history. Private AIPilot-ready Energy “Which machines draw the most power while idle?” Grounded in: Your IoT energy meters, shift plans and machine states. Private AIPilot-ready

Pick Your First Use Case

Tell us which workflow costs your team the most time. We will scope a supervised pilot around it, on your own data and infrastructure.

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