oneytrust Digital Review

Start by dropping in the facts you already have—an email, phone number, name, company, or address—and create a case in Digital Review. Choose the data sources you want to query and set decision thresholds that match your policy. Run the scan to launch automated research across public and commercial datasets. The results arrive as an evidence-backed confidence index with clear rationale: which signals increased risk, which supported legitimacy, and what’s missing. Drill into each finding, pivot to connected identifiers, add your own notes, request documents from the subject if needed, and finalize a go/no‑go decision with an exportable report for audit or client handoff.

For operations and compliance teams, make Digital Review part of your onboarding flow. Build playbooks for KYC/KYB checks, vendor intake, or community access reviews. Define rules (watchlists, sanctions, mismatch patterns, recent account creation, disposable contact points), assign weights, and let the queue route cases by priority. Analysts get explainable scoring and traceable evidence; managers get SLA timers and workload views; auditors get a full trail with timestamps and outcomes. When a decision is made, one click pushes the result back to your CRM or ticketing system and stores the case package for future reviews.

Product and marketplace teams can use the tool to keep out bad actors without slowing good users. Screen sellers, partners, or creators before listing; schedule periodic rechecks to catch changes; and trigger alerts when a monitored subject shows new adverse signals. HR and procurement can run open‑source reviews on candidates or vendors within policy boundaries, then attach the summary to internal records. Analysts and content teams can validate sources before writing reports or publishing, citing the evidence cards produced by the platform to speed drafting and reduce rework.

Developers can embed Digital Review via API. Send identifiers, receive a structured response with the confidence index, key signals, and evidence links, and subscribe to webhooks for status changes. Use SDKs to map results into your models, or run batch evaluations for backlogs and migrations. Configure rate limits and retries, set regional data routing, and enforce consent and data retention rules. With monitoring endpoints and sandbox keys, you can test flows end‑to‑end before going live, then track performance and tune thresholds as risk patterns evolve.