Norma sits between your AI models and your users, turning every recommendation into a decision card — a plain-language rationale, the evidence behind it, a confidence score, risk flags, and a recommended next action — with an immutable audit trail mapped to EU AI Act, CFPB, EEOC, and NIST.
Decline explained: debt-to-income ratio of 48% exceeds the 43% policy threshold.
POST the recommendation and its context to the /explain endpoint.
Receive a structured, human-readable card your product renders anywhere.
Drop-in React components or a plain JSON payload for any frontend.
Every card writes an immutable, exportable audit record mapped to the frameworks that apply to you.
Convert opaque AI outputs into plain-language explanations a non-technical user can read — why the decision was made, what signals mattered, and how confident the system is.
Surface the source records, documents, transcripts, or policies behind each recommendation so users can verify before they act.
A 0–100% confidence score plus an explicit list of what could be wrong — surfaced up front, not buried in a model card.
Log the full reasoning trail and export it for reviews, approvals, and governance. Build your compliance record at the moment of the decision, not under audit.
curl -X POST https://api.northgale.io/v1/explain \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model_output": "Applicant #4821 declined for a credit product.",
"context": {
"debt_to_income": 0.48,
"policy_threshold": 0.43,
"recent_inquiries": 2
}
}'Returns a structured decision card — rationale, evidence, confidence, risk, and next action. Full reference in the docs.
Norma's audit trail maps to EU AI Act, CFPB adverse-action rules, EEOC, and NIST AI RMF — so your explanation is also your compliance evidence.
See the regulatory map →