AI fraud review: how flagged orders get investigated.
Follow a flagged order from platform scores through identity, device, and outbound verification to an evidence-backed recommendation. Credio works inside the fraud stack you already run.
What Credio does
Every flagged order, investigated end to end.
Once your fraud platform flags an order, Credio pulls Signifyd, Riskified, Kount, Sift, and internal signals into one case, closes the evidence gaps, and delivers a recommendation your analysts can act on.
How a flagged order is investigated
01
Ingest the flagged case
Platform scores, order details, and customer history in one view
The agent aggregates fraud-platform scores, CRM context, and transaction history before anyone starts clicking through tools.
Ingestion
02
Cross-source investigation
Signifyd, Riskified, Kount, and Sift verdicts, cross-checked
Platform verdicts are cross-referenced with device fingerprint, IP and geo, velocity, linked accounts, and prior declines. Every verdict is checked against independent signals before it shapes the recommendation.
Investigation
03
Identity verification
Document and biometric checks when identity is in question
When the queue cannot confirm who placed the order, the agent runs document and biometric IDV plus address, phone, and email reputation checks.
IDV
04
Close evidence gaps
Human-approved outbound calls and texts when proof is missing
If identity or delivery proof is not in the queue, the agent drafts a call or text. Your team approves each contact. Voice biometrics can confirm the person on the line.
Outreach
05
Recommend with evidence
Investigate, verify, or escalate with a written rationale
The output is an evidence-backed recommendation with a written rationale and full audit trail, mapped to your fraud policy so analysts can act on it with confidence.
Outputs
Explore the solutions
FAQ
Common questions
Is Credio an AI fraud detection platform or an AI review teammate?
Credio is an AI fraud review teammate. Your fraud platform flags the order; Credio investigates it across device, identity, behavior, and outbound verification, then hands your analysts an evidence-backed recommendation.
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