Complex assurance scenario

LIMS–ERP result interface

Assuring integrity when critical data crosses a system boundary.

Author
Sandip Thorat
Published
September 4, 2026
Last reviewed
September 4, 2026
Category
Scenario Lab
Reading time
9 min
Version
1.0
01Context02Failure chain03Evidence gap04Decision
A decision-focused assurance chain: every transition requires proportionate evidence.
01

Context

Approved laboratory results move from LIMS to ERP and influence material status.

02

Intended Use

Transfer released lot result and specification status without manual re-entry.

03

Boundary

Source status, message schema, middleware mapping, retry queue, target status, reconciliation, and support roles.

04

Failure Chain

A unit field is truncated → ERP interprets a value under the wrong unit → acceptable status is assigned → material is released.

05

Existing Controls

  • Schema validation
  • Source-release rule
  • Interface exception queue
  • Daily reconciliation
06

Evidence

  • Mapping specification
  • Boundary-value tests
  • Negative-message tests
  • Queue recovery demonstration
  • Reconciliation challenge
07

Evidence Gaps

No production alert currently distinguishes delayed from permanently failed messages.

08

Test Design

Script exact mappings and status rules; explore duplication, reordering, downtime, partial payloads, unusual characters, and delayed recovery.

09

Decision

Approve after adding an aged-message alert and demonstrating recovery without duplication.

10

Residual Risk

A novel upstream schema change could evade expected-format checks.

11

Monitoring

Counts, control totals, message age, rejects, duplicates, and reconciliation exceptions.

12

Reassessment Triggers

  • Schema or middleware change
  • New result type
  • Unexplained control-total variance
13

Inspection Questions

  • Where is completeness proven?
  • Who owns exceptions?
  • How is replay prevented from duplicating records?