Solution · Engineering
Your best changeover sequence lives in the head of your senior process engineer. Foreman captures it as an editable agent workflow — versioned, auditable, and running on every shift, not just the ones they're on rotation for.
The pain
Every plant has one. The senior process engineer who knows the right ramp rate for the new alloy run, the cycle-time trade-off the OEM signed off on three years ago, the sequence that gets a mixed-model line back to nominal in twenty minutes instead of an hour. When they're on rotation, the line runs well. When they're not, it doesn't.
The 'official' SOPs are PDFs in a shared drive, last touched in 2017. The actual playbook is a Slack thread, a few whiteboard photos, and a Wonderware screen-capture nobody has time to formalize. Onboarding a new engineer means re-learning what was already learned.
Parameter tuning is done by feel. Nobody can tell you, after a good shift, whether the same parameters would have worked yesterday or last week. The plant produces good runs and bad runs, and the difference is treated as luck because there's no instrument to compare them.
What Foreman does about it
Foreman captures the changeover sequence, the parameter ramp, the inspection gates — as an editable agent workflow your senior engineer authors once. Same agent runs the playbook on every applicable changeover, not only the ones the author is supervising.
Built on · Agent Engine
Workflows live in version control your team can read. When the playbook changes, the change is logged. When the next changeover runs it, the run records which version. Six months later, you can prove which playbook produced which result.
Built on · Agent Engine
Foreman doesn't run the playbook silently. Every step is visible — what it checked, what it adjusted, what it decided to escalate. Your engineer sees the run the way they'd see a junior engineer's run, and learns to trust or correct it.
Built on · Decision Layer
When two shifts produce different yield on the same part, Foreman shows the parameter delta between them — automatically. Good shifts become repeatable instead of mysterious; bad shifts become specific instead of generic.
Built on · Digital Twin
What we'd move
Authored once by your senior engineer — same agent runs it on every applicable shift, not just the rotation they're on.
Workflows versioned in source your team reads. Every run records which version executed.
Setpoint changes without explicit human approval. Engineers stay the human-in-the-loop.
* Pilot-stage commitments. Run-to-run variance is the metric we measure — we'll show it after one full shift cycle on your line.
The one outcome that matters
Not only the ones they're on rotation for. The metric that matters is run-to-run variance, and it comes down when the same playbook executes whether or not the playbook-holder is in the building.
Where it lands
MES & PLC change logs
Wonderware, Opcenter, FactoryTalk, Ignition — recipe changes, setpoint history, operator overrides. The chronology of every changeover, ready to encode against.
Historian
OSIsoft PI, Aveva, MQTT, OPC-UA — process parameters and asset signals, joined to the shifts they ran on. The substrate the agent reasons over.
SOPs & engineering notes
Your existing PDFs, Confluence pages, and Slack threads. Foreman ingests them as the starting draft of the agent workflow your team then edits.
Foreman is read-only by default on production systems. Parameter setpoint changes are surfaced as recommendations into your existing approval workflow — your engineers stay the human-in-the-loop. See the full integration list →
Industry fit
A 30-minute call to walk through one changeover that doesn't run the same way twice — and where Foreman would have encoded the difference.
