Case study · MQLS · 03

MAKE THE REASONING
TRACEABLE.

A business decision becomes inspectable across state, role, responsibility, approval, consistency and effects.

This English page is a condensed translation of the original projection. The business meaning is preserved; the presentation is adapted to the current SemanticMind website.

Original projection · GPT-5.6 Sol

Projection origin
This projection was originally created with GPT-5.6 Sol.

The English website version is condensed for readability while preserving the logic of the original case.

Accept Finally — traceable business decision logic

Accept Finally is the final positive decision for an MQLS. It moves the submission from Authorized for Shipment to Finally Accepted. Shipment authorization alone is therefore not the final quality acceptance.

The decision is valid only if all relevant layers agree

  • State: the MQLS is still Authorized for Shipment.
  • Role: the executing user has the Quality Customer role.
  • Responsibility: the user is the assigned Quality Manager for this MQLS.
  • Approval: at least one related Approval Request is Approved.
  • Identity and ownership: reference, part, creator and supplier ownership context are present.
  • Consistency: mandatory attributes and conditional configuration rules are satisfied.

Conditional consistency

For a periodic MQLS, Count of Parts must be present. If grouping is applicable, a grouping must be present. The original projection also surfaces an important modeling gap: the formal expression checks that Count of Parts is not null, while the business wording expects a value greater than zero.

Effects of the decision

After successful execution the domain event Material Quality Lot Submission Accepted Finally is emitted. The state becomes Finally Accepted, the parent context is finalized, a Final Letter and notification can be derived, and related approval contexts are brought to a final state.

Why this matters

The decision is not a hidden piece of application code. Its business meaning, authority, conditions and effects remain inspectable and traceable.

MQLS case study

One enterprise.
Different depth.

Each case examines the same business reality for a different purpose: discovery, action space, decision logic and AI-assisted reasoning.

→Open the full case overview