Full policy alignment across your portfolio

AI powered merchant policy alignment (AUP) that identifies real policy violations with clarity, accuracy, full explainability, and audit ready evidence at scale.



Simple workflow, deep intelligence behind the scenes

Merchant policy fit analysis is the process of evaluating whether a merchant's business activities, website content, and digital presence align with your acceptable use policies (AUP). Unlike manual reviews or keyword-based checks, AI-powered policy fit analysis examines the full context of a merchant's operations to identify real policy misalignments with audit-ready evidence.
AI-powered policy fit analysis uses contextual understanding rather than keyword matching or MCC codes alone. It analyzes text, images, and rich media across a merchant's digital footprint to detect violations that manual reviewers and rule-based systems miss - improving detection of non-compliant merchants by more than 70% while reducing false positives and review noise.
Automated policy fit analysis can detect a wide range of AUP misalignments including prohibited product and service offerings, misleading content, restricted industry activity, and policy violations hidden in images or rich media rather than plain text. Every finding includes documented evidence, reasoning, and audit-ready justification.
With AI-powered policy fit analysis, each merchant can be assessed and validated in under one minute. The system produces an audit-ready review with full explainability - compared to traditional manual reviews that can take 15-30 minutes per merchant and still miss contextual violations.
Yes. AI-powered policy fit analysis is built for portfolio-scale operations, monitoring tens of thousands of merchants per month with minimal analyst involvement. You can run one-time checks during onboarding or enable continuous monitoring, with results delivered through a case management UI, API, or exportable PDF reports.
