Value Stream:
‍Enroll

Accelerate client onboarding with verified business, KYC, banking and payment history data — so you can approve faster, detect fraud earlier, and scale with confidence.

Overview

For payment providers, merchant enrollment is the first impression — and the first risk. But fragmented systems, manual KYC, and endless document reviews slow growth and open gaps for fraud.Centric unifies KYC, KYB, and risk intelligence in one adaptive workflow. Access verified business data, ownership structures, and transaction history to activate merchants in minutes — not days — while staying fully compliant with CBN and AML requirements.

Key Statistics

45% of merchant applications stall due to incomplete KYC data – LexisNexis Risk Solutions

30% of merchant drop-offs occur during onboarding – Worldpay Merchant Trends Report

60% reduction in manual review time with AI-driven verification – McKinsey Digital Risk Survey

Payment providers that onboard merchants within 24 hours see 2.5× higher retention – Accenture Payments Pulse 2024

Current State / Pain Points
Triggers for Urgency
Future State with AI

Disjointed Systems

Data scattered across CAC, BVN, bank APIs, and spreadsheets.

Manual Reviews

Long, repetitive verification cycles delay activation and increase operational cost.

Static Risk Models

Rigid logic misses new fraud patterns.

Compliance Overload

Teams face mounting pressure to maintain AML/KYB monitoring across thousands of merchants.

Data Gaps

Maintain up-to-date risk and compliance status with real-time monitoring of merchant activity and behavior.

Synthetic and Shell Business Fraud increasing across digital payments.

Regulatory Tightening from CBN, NFIU, and global AML frameworks.

Merchant Churn driven by slow or unclear approval processes.

Revenue Leakage from inaccurate risk classification and pricing delays.

Unified Onboarding

Automated document collection, validation, and approval routing.

Instant KYC/KYB

AI models that evolves with merchant behavior.

Smart Pricing

Dynamic plans aligned with merchant risk and volume.

Continuous Monitoring

Embedded AI agents for real-time compliance and anomaly detection.

Learning Feedback Loops

Every approval and fraud event refines future accuracy.

Top AI Workflows (Centric-Powered)​

Lead Scoring​

Predicts conversion likelihood and risk based on behavioral and source data.​

Smart Offer Match

Dynamically assigns best-fit product (e.g., checking vs. loan vs. insurance) based on inferred intent.​

Engagement Risk Detector​

Identifies drop-off patterns to trigger re-engagement or simplified paths.​

Bot + Synthetic Detection

Flags fraud signals using device ID, form fill velocity, and data inconsistencies.​

Channel Source Optimizer​

Identifies which acquisition sources generate the best customers.​

Auto Qualification & Routing​

Filters and routes leads based on eligibility or intent signals.​

Pre-KYC Fraud Flagging​

Flags high-risk leads before triggering costly identity/KYC checks.​

High-Churn Risk Identifier (Early)​

Predicts risk of disengagement in the first 7–14 days to trigger save actions.​

Application Abandonment Predictor​

Predicts which users will drop off mid-application and when to intervene.​

Underserved Applicant Identifier​

Uses alternative signals to qualify thin-file or unbanked customers.​