Right-record check
Confirms that customer, account, order, payment, case, trace, and other identifiers belong inside the same question boundary.
Prevents mixed-entity answersThe product
One checkpoint before business AI answers.
What you get
Four controls that solve four visible problems.
These are separate checks, not one mysterious AI score.
Conflict check
Shows when sources disagree instead of letting ranking silently choose whichever row appears first.
Creates a reviewable stopContext safety check
Redacts tested sensitive fields and quarantines instruction-like content found inside untrusted files or logs.
Reduces unsafe model inputEvidence packet
Keeps facts, source names, evidence IDs, unknowns, and measured token use in a bounded package.
Keeps proof attachedWhat your application receives
A decision it can handle in normal code.
Your application does not need to interpret a vague confidence score. It receives one explicit state and the supporting details.
WHEN RECORDS AGREE
VERIFIED_PACKETContinue to an LLM or show the facts directly.
WHEN SOURCES DISAGREE
CONFLICT_WITHHELDShow the conflict or send it for review.
WHEN PROOF IS MISSING
NO_VERIFIED_EVIDENCEDo not answer from model memory.
How teams use it
One runtime, several focused workflows.
RAG evidence control is the product. RCA and machine workflows are applications of the same decision contract.
RAG evidence control
Check candidate records before they become LLM context.
See how it worksIncident evidence / RCA
Build trace-scoped timelines and keep observed facts separate from suspected cause.
Explore RCA viewMachine decisions
Apply verified/conflict/refuse behavior to bounded offline and robotics experiments.
See research boundaryClear boundary
What PAIL does not replace.
- Your databaseSystems of record remain authoritative.
- Your retrieverKeep SQL, FTS, vectors, or framework search.
- Your LLMUse the model you already approved.
- Human judgmentConflicts and RCA cause still require accountable review.
Current maturity
Ready for controlled evaluation.
Use synthetic or sanitized data and one defined workflow. PAIL is not yet independently certified or covered by a production SLA.