Stop assigning fixes through scattered emails, whiteboards, and verbal handoffs. Connect production events to clear ownership, documented action, and follow-through across every shift.
MES · ERP · PLCs · IoT sensors · Files · Operator input
The signal, the response, and the work that followed.
Connected production source reports a stop beyond the defined threshold.
Shift lead records repeated jams at the infeed.
Maintenance owns the inspection, with a due time and clear next step.
Guide adjusted. Work performed and outcome documented.
The issue was real. The conversation happened. But by the next shift, who owns it, what was tried, and whether it was resolved can be hard to reconstruct.
A request is sent, but the owner, due date, and final outcome are scattered across replies.
Today's issue disappears from view, along with the context the next investigation might need.
“Maintenance knows about it” leaves the next shift guessing what was assigned and what still needs doing.
Flag the production exception that needs attention.
Record what happened while the details are fresh.
Give the work an owner, priority, and due date.
Document completion and retain the response for review.
Start with a recurring issue and define what should happen next. These example workflows are configured around your data, rules, and team.
A restart can leave follow-up unfinished. Capture the reason for the stop and assign the work needed after production resumes.
Bring waste and quality exceptions into a consistent review process, with the explanation and corrective action connected to the original event.
Connect available machine and sensor events to a human response, with a record of who checked the condition and what they did.
Capture the operational reason behind a missed target and turn the next step into assigned work that can be reviewed.
Keep unresolved issues, assigned actions, and operating context visible so the next team can pick up the work.
Bring production events together from the systems, equipment, and people already running your plant. Start with an available source and expand from there.
Counts, downtime, cycle times, scrap, and performance exceptions.
Production reports, orders, schedule variances, and inventory exceptions.
Available states, alarms, counters, and process values, with an edge gateway where needed.
Available condition readings and threshold events from connected devices.
SQL data, CSV and Excel files, and scheduled production reports.
Operator observations, acknowledgement context, and assigned follow-up.
Connections may use file transfers, database access, available APIs, or edge gateways. Compatibility, setup, and refresh timing are scoped to each source. OpActs works alongside your existing systems.
AI ambitions raise a practical question: what will your plant actually have to learn from?
Production metrics tell part of the story. The missing context is often what happened next: who responded, what they found, what they did, when they did it, and what followed.
OpActs helps capture that history as work happens. It supports a foundation for future analysis and AI initiatives. Readiness also depends on data quality, consistency, access, and the use case.
Capture it today. Build on it tomorrow.
We'll map the data source, the people responsible, and the path from event to completed action.
One line. One workflow. A practical place to start.