Governing maintenance and quality agents before they write into systems of record.
A composite pattern for manufacturers using AI agents around quality, maintenance, procurement, and operational records.
A composite pattern for manufacturers using AI agents around quality, maintenance, procurement, and operational records.
Manufacturing teams rarely adopt agents in a clean greenfield environment. The real deployment touches existing quality systems, maintenance tickets, supplier records, ERP workflows, and engineering documentation.
That makes string-level controls weak. A simple update may be harmless in a sandbox and unacceptable in a production quality record. A procurement draft may be routine until it changes a supplier or commits spend.
The team starts by defining the business boundaries it already understands:
CAVA then maps attempted agent actions into those categories. Decision Score v2.1 explains the risk composition, and OSuite routes the action to auto-approve, ask, block, or close with evidence.
The business does not have to choose between "no agents" and "uncontrolled agents." It can let agents assist with the repetitive work around operations while keeping controlled writes, external releases, and financial commitments behind explicit approval.
For industrial buyers, this is the difference between a productivity experiment and something security, operations, and compliance can live with.
“The agent can help the plant move faster, but final authority still has to match the system it is about to change.”
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