AuraOne
Domain Lab

Every decision has a reason. Now it has a record.
Auditable. Defensible. Regulator-ready. AI scores every application and explains every decision.
For model risk teams where an unexplained decision is a compliance finding.

Ingest applications via API or CSV. AI runs credit scoring, fraud detection, fairness audits, and drift monitoring. Results ship with SR 11-7/EU AI Act evidence.

Your first run

100 applications. Risk scores with decision trails. First SR 11-7 package in a week.

AI LabsTrustScore™ WorkforceRegression Bank
Accepted formats
JSON / CSV / API

Ingest applications and transactions via API batch or file upload.

Compliance frameworks
SR 11-7 / EU AI Act

Evidence structured for model risk governance and AI regulation.

Pre-built agent
risk-scorer

Credit scoring, fraud probability, explainable decisions, and fairness audits.

Focus Areas

What this lab is built for.

Surfaces designed for scientists, operators, and executives. Every output is versioned with provenance so no work is lost.

Risk Decisioning

Fair and fast.

  • Credit scoring with explainable decision codes per application
  • Fraud probability scoring on applications and transactions
  • Integration with bureau and alternative data sources

Fraud Defense

Pattern detection at scale.

  • Real-time fraud probability scoring per transaction
  • Route suspicious applications to analysts with context
  • Pattern detection across application batches and time windows

Regulatory Control

Audit-ready AI governance.

  • Drift and bias monitoring on a configurable cadence
  • Fair lending checks with documented methodology
  • SR 11-7/EU AI Act evidence packages for model risk review
Signature Workflow

How Financial runs.

Automated evaluation. Expert routing. Regression-tested releases.

Step 1

Ingest

Application intake.

  • Ingest loan applications via API batch or CSV upload
  • Calculate risk and fraud scores per application
  • Generate explainable decline/approval reasons
Step 2

Review

Analyst decisions with trails.

  • Queue manual reviews for borderline cases
  • Analyst overrides with documented justification and evidence
  • Track decision SLAs and outcomes over time
Step 3

Govern

Model lifecycle with evidence.

  • Monitor performance drift and fairness on a cadence
  • Gate new model versions with tests and approvals
  • Export SR 11-7/EU AI Act evidence packages for review

Overview

Ingest your applications and transactions and get risk scores with explainable decision trails — plus fairness audits and drift monitoring that satisfy model risk governance. AuraOne Financial keeps scoring, review, and compliance exports in one loop so decisions are easier to explain and defend.

Financial capsule

Auditable. Defensible. Regulator-ready. AI scores every application and explains every decision.

  • Ingest applications via API or CSV. AI runs credit scoring, fraud detection, fairness audits, and drift monitoring. Results ship with SR 11-7/EU AI Act evidence.
  • JSON / CSV / API Accepted formats
  • Focus: Risk Decisioning
  • Workflow: Ingest

Transparent scoring

Generate risk scores and explainable decision codes per application, then attach analyst overrides with justification and evidence.

Financial capsule

Auditable. Defensible. Regulator-ready. AI scores every application and explains every decision.

  • Ingest applications via API or CSV. AI runs credit scoring, fraud detection, fairness audits, and drift monitoring. Results ship with SR 11-7/EU AI Act evidence.
  • JSON / CSV / API Accepted formats
  • Focus: Risk Decisioning
  • Workflow: Ingest

Controlled evolution

Gate new model versions with tests and approvals. Keep drift and fairness monitoring operational. Export SR 11-7/EU AI Act evidence packages when model risk review demands it.

Financial capsule

Auditable. Defensible. Regulator-ready. AI scores every application and explains every decision.

  • Ingest applications via API or CSV. AI runs credit scoring, fraud detection, fairness audits, and drift monitoring. Results ship with SR 11-7/EU AI Act evidence.
  • JSON / CSV / API Accepted formats
  • Focus: Risk Decisioning
  • Workflow: Ingest

Proof hooks

Evidence that stays attached

This is what the system is designed to record for Financial workflows. Metrics and outcomes depend on your deployment and must be validated in staging and production.

SR 11-7
Model risk governance evidence for validation and audit.
EU AI Act
Evidence structured for European AI regulatory compliance.
Fairness audits
Bias monitoring, fair lending checks, and drift detection with evidence.
Want the security and evidence model? Start in the Trust Center.
Visit Trust Center

Start your Financial Lab.

One session. First lab running.