Adjudication, explained by AI.
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.
80+ payroll providers. 12,000+ financial institutions.
Direct, consent-based integrations with the systems your candidates already use — no documents, no scraping.
Black-box scoring doesn't survive a deposition.
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.
- Black-box scoring with no reasoning
- Inconsistent human judgment across reviewers
- Adverse-action letters built by hand
- No audit trail for state-by-state rules
- Hours per ambiguous case
- Explainable reasoning on every decision
- Consistent application of your matrix
- Auto-generated adverse-action letters
- Built-in state-law and EEOC rule engine
- Minutes per ambiguous case, not hours
AI-driven. Human-overridable.
Configurable matrix
Per-role, per-state decisioning matrices with version history.
Explore Ethur's approach →Claude-powered reasoning
Every decision comes with a written explanation, citing matrix rules and source data.
Explore Ethur's approach →EEOC individualized assessment
Built-in EEOC and state-law rules ensure individualized assessment where required.
Explore Ethur's approach →Auto-routing
Auto-clear, auto-fail, or route-to-review based on your policy — with override audit trails.
Explore Ethur's approach →Adverse-action automation
FCRA-compliant pre-adverse and adverse-action letters generated and tracked.
Explore Ethur's approach →Reviewer workspace
Streamlined queue with full context, source citations, and one-click decisions.
Explore Ethur's approach →Decisions you can defend.
Every adjudication, explained — every adverse action, automated.
Report assembled
Triple-verified report lands with all source data and citations.
AI applies your matrix
Claude evaluates against your role-specific matrix and individualized-assessment rules.
Decision + reasoning
Auto-clear, auto-fail, or route-to-review with written reasoning attached.
Adverse action workflow
Pre-adverse and adverse-action letters generated, sent, and tracked through dispute periods.
Common questions.
Is AI adjudication FCRA-compliant?
Yes. The AI applies your matrix and rules; humans retain final authority on adverse actions, with full audit trails.
Can we override AI decisions?
Always. Reviewers can override any decision; the override is logged with reason and timestamp.
How do you handle bias?
Our models are evaluated against EEOC-relevant fairness metrics, and the matrix engine forbids prohibited factors per role and state.
Verify everything at the source.
Primary-source verification, triple-confirmed identity, results in minutes.