MQLS.FOURPERSPECTIVES.
One semantic reality — read as discovery, action space, decision logic and AI-supported reasoning.
These case studies do not show four disconnected models. They show four ways of working with the same business foundation: making the domain visible, making possible actions explicit, explaining decisions and letting an agent reason inside the valid business space.
See the model
in depth.
The MQLS sequence is SemanticMind’s deeper practical path. It starts with jointly discovering the business domain and ends with an agent selecting valid actions based on the same semantic foundation.
Each projection was originally generated with GPT-5.6 Sol and then brought into the new web system visually.
Make the domain visible.
Event Storming and business dialogue surface events, decisions, states, responsibilities and the relevant business objects.
Turn behaviour into an action space.
The transition view shows action, authorization, conditions, target state and resulting event in one readable structure.
Make the reasoning traceable.
A business decision is followed through state, role, responsibility, approval and consistency logic.
Let an agent reason inside the business space.
The agent interprets the situation, identifies valid actions and stays inside the rules and authority of the enterprise.
From business meaning
to valid action.
The MQLS sequence is the detailed counterpart to the simpler SCM inventory use case: more depth, same principle.
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