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Instant Recall & Targeted Population-at-Risk Isolation for Medical Devices

An ISO 13485-certified medical device manufacturer produces portable patient monitoring units containing sensitive microprocessor boards and rechargeable lithium power modules. Production involves high-volume SMT PCBA assembly followed by multi-stage device integration and burn-in testing.

Runs onAnvaya
quarantined product volume drops
95%quarantined product volume drops
recall investigation and containment plan generation completed
15 minutesrecall investigation and containment plan generation completed

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

  • A component supplier issues an urgent safety recall warning that a batch of ceramic capacitors (Supplier Lot # CAP-7942-B) contains micro-cracks capable of causing thermal short circuits.
  • Traditional material issue records are tied loosely to monthly work order blocks in static spreadsheets, making it impossible to quickly isolate which specific units contain the bad lot.
  • To guarantee safety, quality managers face the prospect of a blanket quarantine of an entire quarter's production (3,000+ units), causing massive financial loss, customer panic, and supply shortages.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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1

Supplier Lot Filtering

Quality managers enter Supplier Lot # CAP-7942-B directly into the Anvaya Lot and Supplier Filter.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

  • Quarantined product volume drops by 95% (isolating exactly 142 units instead of 3,000+ units), saving hundreds of thousands of dollars in unnecessary product destruction and replacements.
  • Recall investigation and containment plan generation completed in 15 minutes compared to 72 hours under manual methods.
  • Zero unaffected customer shipments are delayed, maintaining clean factory throughput and preserving brand reputation.

Capabilities this relies on

  • system connectors
  • signal ingestion
  • root cause reasoning
  • anomaly detection
  • workflow orchestration
  • evidence audit trail

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