AI Outcome Intelligence + Evidence Connection Engine
AOI assesses evidence about AI Agent assisted work. Its Evidence Connection Engine connects each conclusion to the selected subject, event and original records.
Distinct responsibilities
Propose what the supplied records mean.
→Connect selections to their original records and the selected subject.
→Determine what eligible evidence supports, contradicts or leaves unknown.
→Retain the reasons, sources and each assessment’s identity.
The model interprets language. ECE checks whether the record belongs to this subject and event. Outcome rules decide what it can establish. AOI saves the answer and its reasons.
The subject matters
Recovery reported for a different machine and run
Excluded from this outcome · branch ends here
Operating report matches the selected machine and run
Eligible for the selected outcome
Source attribution remains visible. This does not verify physical reality or AI causality.
Why the reason survives
Open a finding to see its original source, the selected passage, the scope check and the rule behind the result. Records about another subject remain visible as excluded evidence.
Earlier and Updated keep their own explanations. New evidence can support a different assessment without rewriting what was known before. Missing identity or insufficient evidence remains unresolved.
Retained with the assessment
→Retained with the assessment
→Retained with the assessment
→Retained with the assessment
→Retained with the assessment
A boundary, not a promise of universal truth
Matching a record does not authenticate its author or verify physical reality. Manufacturing supports reported recovery; physical verification and AI causal credit remain unestablished.
Start with one outcome
Bring an outcome question. Together, define which records could answer it.
AOI AI Outcome Intelligence
AI Agent work. Outcome evidence. Decisions you can explain.
Illustrations are not evidence. Each synthetic assessment retains its own review status and limits.