Governance

Controls that make API scale reviewable, accountable, and partner-ready.

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

Compliance controls before commercial scale.

KYB/KYC review

Business identity, payment source, use case, and risk profile checks before account activation.

Regional eligibility

Policy checks for customer locations, billing entities, and operational access patterns.

Use-case controls

Customer categories, prohibited activity rules, escalation queues, and account-level restrictions.

Abuse monitoring

Traffic anomaly detection, throttling, review workflows, and incident documentation.

Audit records

Customer files, usage logs, invoices, policy decisions, and exportable evidence for partners.

Ongoing review

Periodic customer refresh, volume-change review, and controls for unusual growth patterns.

Risk Operations

Risk handling is built into onboarding, traffic monitoring, and customer support.

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.

Before activation

Verify entity, payment source, location, customer type, and intended use case.

During usage

Monitor traffic patterns, spend velocity, model mix, failure rates, and policy signals.

After review

Document decisions, update limits, export evidence, and maintain partner-ready records.

Diligence Pack

Prepared materials for enterprise sales, partner, and legal review.

Corporate

US company records, ownership summary, tax profile, and authorized signatories.

Payments

Processing history, settlement records, refund/chargeback controls, and customer billing flows.

Customers

Segment summaries, usage forecasts, onboarding criteria, and restricted-customer screening.

Controls

KYB/KYC workflow, regional policy checks, use-case review, and abuse escalation process.

Technical

Gateway architecture, logging model, access controls, rate limits, and incident response plan.

Reporting

Monthly usage exports, customer-level spend, reconciliation files, and audit evidence.

Customer Signals

Trusted by operators who need AI consumption to be governed, billable, and supportable.

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.

Maya ChenCOO, Meridian Apps
38% faster customer onboarding

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.

Daniel BrooksHead of Platform, Northstar Commerce
4 operating workflows consolidated

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.

Priya RamanVP Product, Atlas Workflow
72 hours to controlled launch

Evidence

What we can provide during partner due diligence.

Company registration and payment processing history
Customer segment summaries and projected API usage
KYC/KYB workflow documentation and risk scoring criteria
Regional eligibility process and restricted-use enforcement
Usage reports, escalation logs, and settlement records