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Industry guide / Manufacturing & ERP

The quality record is the product

Agentic ERP across planning, inventory, quality, and the shop floor, on a governed control plane.

Cortrova / LiveExplore Cortrova →

Why this work
needs its own approach.

In regulated manufacturing the physical output and the documentation are inseparable: a part without traceable evidence of how it was made and inspected cannot ship into an aerospace or defense supply chain.

That shapes what an agent is allowed to do. Reading production data to spot a trend is low risk. Adjusting a process parameter, releasing a lot, or closing a nonconformance touches the quality record, and those actions need an identified person accountable for them. Agents earn their value in the analysis and preparation around those decisions, while the decisions themselves stay gated.

AI-generated illustration of a precision manufacturing floor
Built around the realities of production.AI-generated illustration · Not a customer or company location

Where to look
for useful assistance.

Representative areas to evaluate with the product team - not a release-level feature guarantee.

Nonconformance and CAPA support

Agents assemble evidence and draft dispositions grounded in precedent; a quality engineer approves anything that touches the record.

Production planning and scheduling

Agentic planning across capacity and materials, with schedule commitments gated on a planner's approval.

Inventory and materials reconciliation

Continuous reconciliation with exceptions escalated under policy rather than buried in a report.

Shop-floor exception triage

Agents triage and route floor exceptions with the full reasoning trace preserved for the lot history.

Consider the workflow: a nonconformance triage

An illustrative discussion scenario. These steps describe the intended operating pattern, not a claim that every behavior is implemented in the current product release.

  1. 01

    An inspection result falls outside tolerance and opens a nonconformance. The mission composes a data agent, a history agent, and a drafting agent.

  2. 02

    The data agent reads the measurement record and the process data for the run. It has read access to the MES and no authority to write to it.

  3. 03

    The history agent retrieves comparable past nonconformances and their dispositions, so the draft is grounded in precedent rather than generated from scratch.

  4. 04

    The drafting agent proposes a disposition with its reasoning and the evidence it relied on.

  5. 05

    Disposition affects the quality record, so it pauses at an approval gate for the quality engineer, who approves, edits, or rejects.

  6. 06

    The release is designed to attach the decision, evidence, supporting trace, and approver to the lot history; coverage and integrity evidence are verified for that release.

Bring the decisions
into focus.

Scope the workflow and evidence before relying on a product in your environment.

  1. 01

    Which modules and existing systems are in scope for the deployment?

    Start with a non-sensitive example from your operation. Identify the task, the systems and the people involved.

  2. 02

    How are write permissions and production-change approvals configured?

    Ask to see the behavior in the exact release being proposed, including what happens when an input or dependency is unavailable.

  3. 03

    What evidence is retained when a planning or quality decision changes?

    Agree on what must be demonstrated, who accepts it and what remains outside the initial scope.

What to agree before the evaluation

A useful evaluation starts with an operational exception your team recognizes. Compare the proposed response with the available materials, production constraints and quality requirements. Identify who can accept the change and how the resulting records will be checked. That gives the evaluation a manufacturing outcome rather than a generic answer-quality score.

Questions about
Cortrova.

Is Cortrova a general-purpose chatbot?

No. Its focus is manufacturing ERP and the operational work across planning, inventory, quality and production.

Does an AI suggestion automatically change production?

Do not assume that it does. The exact approval and execution boundaries need to be demonstrated for the selected release and deployment.

Can we evaluate it against an existing operation?

Yes - start the conversation with a non-sensitive outline of the workflow, systems and operational constraint you want to address.

Cortrova

An ERP built around the work on the floor.

Cortrova is an AI-native manufacturing ERP. It brings planning, inventory, quality and shop-floor workflows into the same operational context.

Confirm the current scope and availability directly with the product team.

Explore Cortrova

Bring us the work that needs to move forward.

A specific workflow. A real operating constraint. An accountable next step.

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