← Agents

Quality & CAPA Agent

The spike is visible
before the customer reports it.

The agent works across defects, lots, customers, and inspection records: detecting spikes against baselines, linking impact to affected shipments, drafting 8D/CAPA documents, and queuing held customer notices for approval.

Production Ops WorkspaceDefect response and CAPA evidencePlant Heads, Quality Managers, and Operations DirectorsDefect signal -> baseline comparison -> lot link -> CAPA draft -> held customer notice -> evidence trail
See the examples →

Agent in Action

From defect spike to CAPA document, every link is traced.

Quality failures are often visible in the data before they are labelled as customer issues. The agent connects defects, lots, and shipments before the 8D starts late.

Operational chainQuality & CAPA
monitor

Defect rates tracked against rolling baselines

detect

Spike detected and linked to affected lots

link

Lot-to-customer impact mapped across open shipments

draft

8D/CAPA document drafted for QA review

approve

Customer notice queued when impact is confirmed

record

Compliance evidence logged continuously

Operating Model

Owns the window between defect spike and customer impact — so CAPA starts while containment is still possible.

WorkspaceProduction Ops Workspace
RoleDefect spike and CAPA response owner
Trigger modelInspection events, defect streams, and threshold watches
Human controlCustomer notices and CAPA closures require approval
Primary outputDefect spike alert and CAPA document draft

Runtime Duties

What it executes, watches, and queues for approval.

This is the practical operating surface: the checks it runs, the work it performs, and the actions that stay governed.

Executes

Detects defect spikes against rolling baselines by line, shift, and SKU.

Links affected lots to open customer shipments.

Drafts 8D/CAPA documents with evidence attached.

Queues held customer notices when impact is confirmed.

Builds continuous compliance evidence for audit readiness.

Watches

Defect rate by line, shift, and SKU against rolling baselines.

Lot genealogy and shipment links to customers.

Inspection checkpoint variance and SOP adherence.

Repeat defect patterns across similar SKUs or lines.

Actions
Defect spike alertnotifyCAPA document draftdraftCustomer noticeapprovalCompliance logsilent

Operational Scenarios

What changes when the agent is actually running.

The point is not a smarter dashboard. The point is the moment between a gap appearing and the team being able to act on it.

The gap

A defect rate crosses baseline on a line tied to three customer shipments.

Without Zipdata

The customer reports the issue before QA connects the lot link.

With this agent

The agent detects the spike, maps affected lots and customers, and drafts the CAPA before the call arrives.

The gap

An audit requires CAPA evidence from the past quarter.

Without Zipdata

The team reconstructs records across shift reports and email trails.

With this agent

The agent has built the evidence trail continuously — audit-ready when asked.

Focused Metric Impact

This agent is scoped to quality first, with output as the secondary gain.

Zipdata agents are not generic metric coverage. Each one owns a focused process slice and is measured against the operating outcomes that process can actually move.

Quality

Links defect spikes to affected lots and customers, drafting CAPA before the customer reports the issue.

Output

Protects more batches by catching deviation patterns while containment is still possible.

How It Is Operationalised

The platform setup underneath the agent.

Behind every named agent is a workspace configuration: typed data, watches, feeds, tools, approvals, and memory.

Data layer

Defects, lots, customers, inspections, shipments, CAPA history, and SOP records.

Watches

Defect drift, lot impact, inspection variance, and repeat patterns.

Feeds

Defect spike alert, CAPA document, customer notice draft, and quality scorecard.

Tools

CAPA draft, customer notice queue, compliance log update, and approval audit.

Runs Inside a Workspace

Production Ops Workspace

This agent is one program running against a shared workspace: connected entities, analytics, watches, feeds, tools, and approval policies. The same workspace can host several agents, each focused on a different process and metric pair.

Data Hub entitiesAnalytics and watchesFeed outputsTool grantsApproval history

See it live in your operation

Your lines. Your defect baselines. Your CAPA trail. In 48 hours.

We configure quality watches around your defect entities, lot links, and CAPA policies, then show the first spike alert before we meet.