Report assembled
Triple-verified report lands with all source data and citations.
Most adjudication engines are black boxes. Ethur's Claude-powered agent applies your decisioning matrix consistently and shows its reasoning — so adverse decisions are defensible and ambiguous cases come with context, not a score.

Old adjudication engines spit out a number with no reasoning — leaving compliance teams to defend decisions they can't explain. Ethur's AI shows its work.
Per-role, per-state decisioning matrices with version history.
Every decision comes with a written explanation, citing matrix rules and source data.
Built-in EEOC and state-law rules ensure individualized assessment where required.
Auto-clear, auto-fail, or route-to-review based on your policy — with override audit trails.
FCRA-compliant pre-adverse and adverse-action letters generated and tracked.
Streamlined queue with full context, source citations, and one-click decisions.
Every adjudication, explained — every adverse action, automated.
Triple-verified report lands with all source data and citations.
Claude evaluates against your role-specific matrix and individualized-assessment rules.
Auto-clear, auto-fail, or route-to-review with written reasoning attached.
Pre-adverse and adverse-action letters generated, sent, and tracked through dispute periods.
Start a free trial in minutes, or get a tailored walkthrough with our team.
Yes. The AI applies your matrix and rules; humans retain final authority on adverse actions, with full audit trails.
Always. Reviewers can override any decision; the override is logged with reason and timestamp.
Our models are evaluated against EEOC-relevant fairness metrics, and the matrix engine forbids prohibited factors per role and state.