AI assists analysis
Possible interpretations, missing information and conflicting statements become visible for targeted resolution.
Paterion / AI Control
Technically consistent code and tests can still implement the wrong business interpretation. Paterion makes the intended logic explicit and subject to human approval.
01 / AI Control
Possible interpretations, missing information and conflicting statements become visible for targeted resolution.
Business owners approve which interpretation applies. Their decisions are written back into the requirement.
Approved decision logic and reproducibly derived tests supply a business foundation for engineers and coding agents.
Approved business logic and tests provide a foundation for implementation. Architecture, interfaces, security and operating requirements still need to be addressed.
02 / In practice
A prompt guides processing. An approved decision structure also makes it possible to inspect which business meaning the implementation is expected to follow.
Resolve business decisions and exceptions before they become implicit implementation assumptions.
Synchronize source and logic again, derive affected tests, and keep the approvals traceable.
Assess the implementation against confirmed intent, using expected outcomes derived from the same foundation.
03 / Make meaning explicit
An interactive principle example, without a live platform connection.
01 / Resolve meaning
“Release the order if credit is checked or special approval exists and stock is available.”
Must stock be available in every case?
02 / Derive & approve
Approve an interpretation to establish synchronized text and derive tests.
Both approvals and the shared version are visible, making the business foundation of delivery reviewable.
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.