AI
Relations and evidence
Claura explains why documents belong together and makes uncertainty visible.
Signals
Examples include vendor identity, dates, amounts, recurring cadence, document wording, and known exclusions.
Contradictions
Negative evidence is stored alongside supporting evidence. For example, recurring accounting or software vendors can be excluded from trip creation even when dates overlap.
Relationship status
Relations move through proposed, confirmed, or rejected states with the actor and reason retained.
CLAURA NOTE
Financial context should stay connected.
Claura keeps the document, conversation, and decision together—so the next person never has to reconstruct the story.
found in Claura documentation · Financial memory