AI should reduce record work, not manufacture certainty.
AnimalTrace uses AI to help extract and organize information from animal records. The original source stays available, uncertainty is reviewable, and AI output does not become an official laboratory or registry fact by itself.
The review boundary
AI proposes. People confirm where confirmation matters.
Extract
AI can identify candidate animals, tests, findings, dates, identifiers, and other fields in uploaded documents.
Explain
AI can summarize what changed, surface gaps, and help a user navigate the evidence supporting a record or analysis.
Escalate
Low-confidence, ambiguous, or conflicting information remains visible for review rather than being silently accepted.
What AI does not do
Authority and professional judgment remain outside the model.
No invented source facts
AI cannot turn an unsupported statement into a laboratory-issued result, official registry record, or verified pedigree.
No diagnosis or treatment
AnimalTrace does not provide veterinary diagnosis, prognosis, treatment, or emergency guidance. Consult a qualified veterinarian.
No automatic official release
AI output alone does not release an official lab result or decide a registry outcome. Authorized reviewers retain those roles.
Responsible output
Useful context should be inspectable.
Where the product presents extracted or derived information, the experience is designed to retain source context, review state, and the applicable analytical or rule version.
For client accounts
Report rescue shows the source document beside proposed findings so the account holder can review what was captured and correct uncertain fields.
For organizations
Role-scoped review, audit history, and release controls let laboratories, registries, and programs place people at the appropriate decision points.
Evaluate AI in the context of the real workflow.
Bring a representative document or decision path. We'll show where automation helps, where review occurs, and what remains outside the system.