We’ve launched the MVP version of AI Company Reviewer, introducing the foundational infrastructure for automated KYB decision-making. This release enables partners to define how automated reviews should work, laying the groundwork for scalable, AI-driven KYB workflows.
What’s new?
Configurable AI review logic
Partners can now access the AI Company Reviewer section in Settings to define a custom decision-making profile. Using a rules-based configuration, compliance teams can specify how company data should be evaluated before automation is applied.
Rules-based validation framework
The MVP allows partners to configure structured validation logic across two key areas:
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Compare checks – validating company data against trusted sources
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Fraud prevention checks – identifying inconsistencies or risk indicators
For each rule, partners define accepted outcomes and how strict the validation should be.
Automated decision outcomes
Based on the configured rules, the system can be instructed to automatically:
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Approve the company
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Deny the verification
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Flag the case for manual investigation
This ensures that automated decisions are always aligned with partner-defined compliance logic.
Preparation for full automation
This release focuses on configuration and control. By establishing clear, partner-owned decision logic upfront, the system is prepared for the execution phase, where AI-driven reviews will run automatically at scale with minimal manual intervention.
Read the documentation to see how to configure AI Reviewer rules, enable automation, and review AI-driven decisions.
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