Design a sequential or parallel orchestration workflow: collect device intelligence signals at session start, perform document and biometric IDV mid-flow, and run database attribute verification (eCBSV, DLDV, or credit bureau) after document extraction.
Feed all signal outputs (device risk score, IDV decision, database match flags, liveness result) into a unified risk scoring engine; use an orchestration platform (Alloy, Unit21, or a custom rules engine) to define accept/review/deny decision logic.
Implement step-up logic: for sessions with elevated device risk or borderline IDV results, trigger an additional verification step (e.g., supervised video call or eCBSV check) rather than a hard deny.
Define clear escalation paths: route sessions flagged for manual review to a case management queue with the full signal bundle surfaced to the reviewer, including document images and extracted data for human adjudication.
Log every signal and decision with immutable audit records tied to a session ID; this record supports regulatory examination, BSA/AML documentation, and fraud chargeback investigations.
Run a periodic calibration review (monthly or quarterly) comparing predicted risk scores against confirmed fraud outcomes to tune thresholds and reduce both false positives and false negatives.
Known gotchas
Orchestrating multiple vendor calls sequentially increases total onboarding latency; where signals are independent, run them in parallel and merge results asynchronously to keep the user-facing flow under acceptable latency thresholds.
Each third-party check (eCBSV, DLDV, credit bureau) has per-transaction cost and permissible purpose restrictions; the orchestration layer must enforce permissible-purpose gating to avoid impermissible FCRA or eCBSV access.
A composite decision made by an orchestration engine may itself constitute a consumer report under FCRA if it includes credit bureau data; consult legal counsel on adverse action notification obligations before deploying automated deny decisions.
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