Remitgo's decision engine predicts risk and auto-approves clean KYC cases, routing only genuine edge cases to your analysts, with every decision logged and explainable.
Document OCR, face match and liveness results feed a decision policy that clears low-risk applicants instantly and escalates only the ambiguous ones.
A scoring model combines identity, behavioral and transaction signals into a single forward-looking risk estimate for each customer.
Configurable policies clear low-risk cases automatically and route everything else to your analysts. A rejection is always a human decision, so the engine narrows the queue rather than closing an applicant's account for them.
Tune thresholds and decision rules per product, corridor or customer segment without redeploying, and simulate before going live.
Every automated decision returns the factors that drove it, so compliance and customers always get a clear reason, no black box.
The engine reads AML rule outcomes and on8's SmartSanction screening results, so an auto-approval never overrides a genuine compliance hit.
API Reference
Preview of the planned interface - this API is in development and not yet publicly available.
Request
{
"mode": "simulate",
"case_id": "kyc_55021",
"customer_id": "cust_001",
"signals": {
"document_match": 0.98,
"face_match": 0.94,
"liveness": "pass",
"screening_hit": false
}
}Response
{
"case_id": "kyc_55021",
"decision": "auto_approve",
"case_state_changed": false,
"risk_score": 12,
"risk_band": "low",
"reason_codes": ["strong_document_match", "no_screening_hit"],
"policy_version": "kyc-policy-2026.07.3",
"model_version": "risk-2026.06.1",
"decided_at": "2026-07-01T14:29:52Z",
"api_version": "v1"
}Remitgo launches Q4 2026. Talk to our team about early access to automated KYC decisioning and the policies you want to run.
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