Merchant Onboarding:
From 2-3 Days to 20 Minutes with AI.
How a multi-agent architecture fully automated the bottleneck in risk management of a leading payment processor.
The Challenge:
Manual Onboarding as Bottleneck
The fintech company's growth was massively slowed by the manual review process. Every new merchant account required tedious verification by the compliance team.
- !Manual review of trade register extracts and KYC documents.
- !Subjective website analysis to identify prohibited goods.
- !Error-prone manual assignment of MCC codes (Merchant Category Codes).
System Bottleneck
The Solution: End-to-End AI Automation
AI Document Agent
Extracts structured data from unstructured PDFs and identifies inconsistencies in ID documents in milliseconds.
AI Website Agent
Scans merchant websites for T&C compliance, legal notice requirements, and restricted goods in the product catalog.
AI MCC Agent
Checks the business model against VISA/Mastercard taxonomies and suggests precise Merchant Category Codes.
AI Risk Agent
Aggregates all agent outputs and calculates a dynamic risk score based on internal policies.
Quality Gate Agent
Final validation instance. Only high-confidence scores proceed to auto-approval.
Swiss-Made Precision
Not a chatbot, but a deterministic multi-agent architecture for the highest compliance standards.
Performance Impact
| Parameter | Before (manual) | After (AI) |
|---|---|---|
| Avg. Processing Time | 48 - 72 hours | 12 - 20 minutes |
| Compliance Error Rate | ~4.5% | < 0.1% |
| Processing Cost / Case | CHF 35.00 | CHF 1.20 |
| Scalability | Limited by HR | Unlimited |
Technical Insight:
Architecture & Agent Orchestration
The solution uses a hierarchical multi-agent system. A central Coordinator Agent breaks the onboarding request into parallel tasks.
Architecture
The automation by Averion transformed our risk department. We no longer review documents — we manage the AI agents that handle the review.
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Let's explore together how a multi-agent architecture can resolve your operational bottlenecks.