Explicit decision logic
Structograms, decision tables and decision trees make conditions, alternatives and missing cases inspectable before implementation.
Paterion / The platform
Paterion reconciles human-authored requirements with their modeled meaning. Business owners resolve ambiguity and approve the logic that every downstream delivery system will use.
01 / The platform
Structograms, decision tables and decision trees make conditions, alternatives and missing cases inspectable before implementation.
Business decisions flow back into the source requirement and are processed again. Text and logic remain on the same foundation.
The same approved decision structure, scope and derivation rules produce reproducible test cases.
Determinism applies to derivation from the approved structure. AI-assisted interpretation of natural language is subject to business clarification and human approval.
02 / In practice
The first approval covers business and architectural clarification. The second covers test coverage and validation logic. Changes to the source repeat the relevant checks.
Resolved. Synchronized. Traceable.
Use the source requirement from existing documents or systems as the business reference point.
Identify conflicting statements, missing terms and duplicate meanings. Business owners decide the intended interpretation.
Human clarificationDerive the structogram, decision table and decision tree. Resolve gaps, missing paths and remaining ambiguity through further human decisions.
Human clarificationResponsible owners confirm the business and, within scope, architectural clarification.
Approval 1Update the source requirement and process it again. Repeat the affected checks until text and decision logic align.
Closed loopGenerate reproducible tests and expected results from the synchronized, approved decision structure.
Responsible owners review and approve test coverage and validation logic within the agreed scope.
Approval 2Create the mockup and audit documentation from the same foundation. Supply approved requirements, decision artifacts and tests to the agreed systems.
Your next step
Let’s find where interpretation creates rework in your delivery process, and how to measure the value of a shared, approved foundation.