KYB/KYC review
Business identity, payment source, use case, and risk profile checks before account activation.
Governance
Our governance model is designed to help model providers understand who is using capacity, why they need it, and how risk is handled over time.
Control Framework
Business identity, payment source, use case, and risk profile checks before account activation.
Policy checks for customer locations, billing entities, and operational access patterns.
Customer categories, prohibited activity rules, escalation queues, and account-level restrictions.
Traffic anomaly detection, throttling, review workflows, and incident documentation.
Customer files, usage logs, invoices, policy decisions, and exportable evidence for partners.
Periodic customer refresh, volume-change review, and controls for unusual growth patterns.
Risk Operations
We keep governance close to the actual payment and account relationship. That lets us pause customers, reduce limits, request additional review, or escalate incidents before usage becomes difficult to unwind.
Verify entity, payment source, location, customer type, and intended use case.
Monitor traffic patterns, spend velocity, model mix, failure rates, and policy signals.
Document decisions, update limits, export evidence, and maintain partner-ready records.
Diligence Pack
US company records, ownership summary, tax profile, and authorized signatories.
Processing history, settlement records, refund/chargeback controls, and customer billing flows.
Segment summaries, usage forecasts, onboarding criteria, and restricted-customer screening.
KYB/KYC workflow, regional policy checks, use-case review, and abuse escalation process.
Gateway architecture, logging model, access controls, rate limits, and incident response plan.
Monthly usage exports, customer-level spend, reconciliation files, and audit evidence.
Customer Signals
smartfair.ai gave our finance and engineering teams one place to manage AI spend, customer quotas, and support escalations. It changed API usage from a workaround into an operating process.
The strongest part is the governance layer. We can see who is using capacity, why they need it, and which policy controls are active before usage expands.
We needed enterprise billing and predictable limits for AI features across several products. smartfair.ai made usage reviewable for both our product and compliance teams.
Evidence