Proof

Proof you can audit.

Regulated AI. Safety-critical workflows. Teams who have to explain decisions. This is what they use.

We publish named customer stories only with explicit approval. The examples across this section describe program patterns, not guarantees.

What teams get from AuraOne

The point is not prettier dashboards. It is a workflow that produces evidence as it runs.

Evidence stays attached

Runs, reviewers, and approvals stay linked to the change that shipped.

Decisions become repeatable

Rubrics and regression suites make quality checks consistent across releases.

Governance stays operational

Checks and exports run as part of the workflow, not as a last-minute scramble.

Benchmarks stay comparable

Track drift, regressions, and reviewer consistency across time with the same measurement frame.

Program telemetry (example)

A single place to see evaluations, review loops, approvals, and governance checks.

Where AuraOne shows up

Regulated and high-stakes teams use AuraOne to keep evaluation, execution, and governance connected.

Regulated finance teamFinance
Healthcare operations teamHealthcare
Manufacturing QA teamManufacturing
Research labResearch
Climate analytics teamClimate
Enterprise software teamTechnology
Robotics programRobotics
Public sector programGovernment
Regulated finance teamFinance
Healthcare operations teamHealthcare
Manufacturing QA teamManufacturing
Research labResearch
Climate analytics teamClimate
Enterprise software teamTechnology
Robotics programRobotics
Public sector programGovernment

Customer stories

Program patterns, not promises

These are illustrative examples. We publish named case studies only when customers approve.

Finance

Regulated finance team

Evidence exports that survive review windows

Benchmarks, approvals, and changes stay connected so procurement gets answers without a scramble.

Read the story
Research

Research program

Review loops that stay comparable

Rubrics, reviewers, and decisions stay consistent across iterations so teams can track improvement over time.

Read the story
More deep dives available in the case study library.
Trust & Evidence

Every decision. Already documented.

Runs, reviews, and approvals leave records automatically. Security, compliance, or legal will find what they need before they finish asking.

Trust Center
Security pack

Encryption posture, access controls, and review materials for your security team.

Learn more
Governance
Compliance monitoring

Scheduled checks and alerts. Evidence exports stay attached to the workflows they govern.

Learn more
Evidence chain preview
Recording
Run
Review
Approve
Export
Audit feed
12:04:18Evaluation run completedCI pipeline
12:04:22Routed to reviewer #R-412Routing engine
12:06:01Approval recordedJ. Martinez
What you get
  • Audit logs with request context and reviewer attribution
  • Evidence exports tied to runs and approvals
  • Retention and deletion workflows (DSR-ready)
  • Monitoring and alerts for compliance checks
Data handling
Privacy and data handling

What data we collect, how long we keep it, and how deletion requests work.

Learn more
Proof
Benchmarks and baselines

Measure drift, catch regressions, and track reviewer consistency over time.

Learn more

See how your program maps.