Case study · MQLS · 02

TURN BEHAVIOUR INTO AN
ACTION SPACE.

The transition view makes explicit which business actions are possible from a situation — together with authorization, conditions, target state and resulting event.

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.

The MQLS transition view

The transition view compresses the MQLS lifecycle into a readable action space. For each business action it shows the current state, authorization, conditions, target state and resulting domain event.

MQLS lifecycle — selected transitions
Business actionCurrent stateAuthorizationRequirements / guardsTarget stateDomain event
CreateUndefinedQuality SupplierSupplier, user and part context availableCreatedMQLS Created
ForwardCreated / In revisionQuality SupplierMQLS is consistent and mandatory data is completeForwardedMQLS Forwarded
ReturnForwardedAssigned Quality Manager with Quality Customer roleNo additional guardIn revisionMQLS Returned
Authorize ShipmentForwardedAssigned Quality Manager with Quality Customer roleMQLS data is consistent and correctAuthorized for ShipmentMQLS Authorized for Shipment
RejectForwarded / Authorized for ShipmentAssigned Quality Manager with Quality Customer roleAuthority invariant remains validRejectedMQLS Rejected
Accept FinallyAuthorized for ShipmentAssigned Quality Manager with Quality Customer roleApproved request exists and the MQLS is consistentFinally AcceptedMQLS Finally Accepted

What this reveals

The lifecycle is not one linear path. From the same state, several business actions can be valid. What is executable depends on state, role, responsibility, requirements and guards.

That is the action space an agent can later reason inside.

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