Komos

Komos is an operations layer for background screening that automates the repetitive portal work behind every background check. It runs court record searches, employment and education verifications, identity checks, sanctions and watchlist screening, and FCRA adverse action at scale. Clean cases run end to end while possible hits and exceptions route back to researchers for adjudication.

Key Features

• AI Coworker Onboarding: Walk through any task once; AI watches, learns, and builds an editable workflow with the right integrations and browser automation.
• Moss AI Engineer: Builds new verification flows from a single conversation, monitors every run, and patches flows when portals change.
• FCRA-Auditable by Design: Every run produces step-by-step logs, screenshots, and structured outputs that can be reviewed, versioned, and exported for compliance.
• Works Where APIs Don't: Drives court systems, DMVs, and government portals at the browser level, sitting behind SSO and network controls.
• Humans in the Loop: Exception queues route possible hits, errors, and edge cases to researchers with role-based access for research, QC, and review.
• Secure Credentials & PII: KMS-backed encrypted vault with per-org, per-flow scopes, MFA support during runs, and PII redaction in stored logs.

Who It's For

• Consumer Reporting Agencies (CRAs) and background screening operations teams.

Workflow

1. Show + Teach: Walk through a task once on screen; AI watches and learns.
2. AI Builds the Workflow: Komos picks integrations, adds browser automation, and makes the flow fully editable.
3. Run + Scale: Deterministic execution with full audit trail, outputting via CSV, email, or webhook.

Key Benefits

• FCRA-auditable trail with step-by-step logs, screenshots, and exportable records
• Works on portals without APIs by driving browsers like a human researcher
• Humans stay in the loop for adjudication with role-based access control
• Moss AI adapts and patches flows automatically when portals change