SecondMark position
The origin is operational rather than theoretical: assurance for AI-engineered systems should be informed by the controls required to create them responsibly.
The examination is bounded to defined claims, a versioned system, and evidence that can be traced to the state under review. Any material exclusion or uncertainty remains visible in the conclusion.
Core questions
What the examination needs to establish.
- 01
What did production engineering reveal about assurance?
- 02
Why must review extend beyond generated code?
- 03
Which controls create reliable evidence?
- 04
Why establish an independent practice?
Evidence model
Evidence is assembled around the claim—not the folder structure.
Declared scope and decision rights
Collected, attributed, challenged, and connected to the exact system boundary under examination.
Independence and conflict controls
Collected, attributed, challenged, and connected to the exact system boundary under examination.
Documented review and opinion authority
Collected, attributed, challenged, and connected to the exact system boundary under examination.
Transparent limitations
Collected, attributed, challenged, and connected to the exact system boundary under examination.
Intended outcome
A firm grounded in the realities of machine-intelligence engineering while structured to judge systems independently.
Professional boundary
What an opinion does—and does not—mean.
It provides
A traceable independent conclusion on defined claims, grounded in the evidence and system state examined.
It does not provide
A guarantee that failure is impossible, a permanent certification, or a conclusion beyond the stated scope and validity conditions.