SOLUTION — KYC & ONBOARDING

Client onboarding that doesn't stall on paperwork

Every onboarding file means identity documents, proofs of address, corporate registries and signed forms — collected in any format, checked by hand, chased when inconsistent. Sygnet extracts and cross-checks the file automatically, and escalates to a human only what actually needs judgment.

FIG. 01PROBLEM

KYC is a document consistency problem

The hard part of KYC is not reading one document — it is verifying that ten documents agree: the name on the ID matches the account application, the address matches the proof, the registry extract matches the declared structure. Done manually, this is slow, error-prone and impossible to audit precisely.

FIG. 02APPROACH

Extract, then cross-check the whole file

Sygnet classifies each incoming document, extracts identity and corporate fields with per-field confidence, and runs cross-document consistency checks across the entire file. Discrepancies and low-confidence fields go to human review with the source location highlighted.

  • Identity documents, proofs of address, registry extracts, signed forms
  • Cross-document checks: names, dates, addresses, corporate structure
  • Field-level confidence — review queues only for what needs eyes
  • Full audit trail of every automated check and human decision
FIG. 03OUTCOME

Faster onboarding, defensible compliance

Files that agree pass in minutes. Files with inconsistencies surface immediately, with the exact discrepancy highlighted — instead of being discovered three exchanges later. Compliance gets what it rarely has: a complete, timestamped record of every verification.

FIG. 04 SPECIMEN

What a cross-checked KYC file looks like

The value of KYC automation is the cross-checks: here the declared address disagrees with the proof, surfaced immediately instead of three emails later.

{
  "dossier": "KYC-2026-01877",
  "documents": [
    {
      "type": "Identity card (FR)",
      "fields": {
        "full_name": {
          "value": "Nadia Benhamou",
          "confidence": 0.99
        },
        "birth_date": {
          "value": "1988-03-14",
          "confidence": 0.99
        }
      }
    },
    {
      "type": "Kbis extract",
      "fields": {
        "company_name": {
          "value": "Benhamou Conseil SASU",
          "confidence": 0.99
        },
        "siren": {
          "value": "912 448 730",
          "confidence": 0.98
        },
        "legal_representative": {
          "value": "Nadia Benhamou",
          "confidence": 0.99
        }
      }
    },
    {
      "type": "Proof of address",
      "fields": {
        "address": {
          "value": "8 rue des Carmes, 44000 Nantes",
          "confidence": 0.97
        },
        "issue_date": {
          "value": "2026-06-02",
          "confidence": 0.99
        }
      }
    }
  ],
  "cross_checks": [
    {
      "rule": "ID name = Kbis legal representative",
      "status": "pass"
    },
    {
      "rule": "proof of address issued < 3 months",
      "status": "pass"
    },
    {
      "rule": "declared address = proof address",
      "status": "fail — mismatch flagged"
    }
  ],
  "review_required": true
}

NEXT STEP

See it on your own documents.