Built for Indonesian customer journeys

Put the right identity evidence at the right decision point

BOIVA gives teams three verification scopes through one API pattern—so onboarding can stay focused while higher-risk moments receive stronger signals.

Journey patterns

Design verification around the decision, not a generic checklist

These patterns illustrate product fit. Your organization remains responsible for legal, compliance, fraud, and risk decisions.

Digital onboarding

Confirm customer identity without turning registration into a manual document-review queue.

Recommended pattern: Start with IDVB for identity-data matching; add IDVS or IDVC when the journey requires selfie or liveness evidence.

Financial services KYC

Build a consistent identity layer for accounts, lending, investments, wallets, and other regulated journeys.

Recommended pattern: Use IDVC for layered identity, selfie, and liveness signals, then apply your institution's compliance and risk policy.

Fraud-resistant registration

Reduce exposure to mismatched identity data and impersonation during account creation.

Recommended pattern: Use IDVS to connect official identity data with a selfie, or IDVC when a liveness score is also required.

Account recovery

Add identity evidence to sensitive reset and re-authentication flows.

Recommended pattern: Select IDVS or IDVC based on the evidence required by the account's risk tier. Never treat verification as the only recovery control.

Progressive verification

Avoid forcing every customer through the highest-friction flow at the first interaction.

Recommended pattern: Match IDVB, IDVS, and IDVC to progressive checkpoints so assurance can rise with risk or product access.

Identity data quality

Catch mismatched identity attributes before they create downstream operational work.

Recommended pattern: Use IDVB as a focused data-match checkpoint and route documented discrepancies into your review process.

Build one identity layer that can grow with your risk model

Start with the smallest useful scope, measure completion and review outcomes, then add stronger signals where the evidence supports it.