AI Scaled Neobank:
2x Users, 77% Less Fraud

NeoBank - Digital-First Challenger Bank.

Industry: Digital Banking

Period of collaboration: 2024

Company Stage: Growth Stage (150+ employees, 250k customers)

Site: Manchester, UK

Challenge

NeoBank had gained strong traction in the UK market with 250,000 customers and £180M in deposits. However, rapid growth exposed critical operational vulnerabilities. The Head of Operations estimated that these inefficiencies were costing £3.2M annually in lost revenue, fraud losses, and operational overhead.

Key challenges:

Fraud & AML Crisis: Manual transaction monitoring couldn't scale — fraud losses hit £1.2M annually, and AML review backlogs reached 2,800 cases
Onboarding Friction: Their KYC process took 3-5 days and had a 42% drop-off rate, losing 8,000+ potential customers monthly
Integration Complexity: Integration with Open Banking APIs, card networks, and payment providers was fragmented across 15+ legacy systems
Regulatory Burden: FCA audit preparation consumed 400+ hours quarterly, with compliance officers manually compiling reports from multiple systems

Solution

We deployed a 10-person team (3 senior backend engineers, 2 ML engineers, 2 full-stack developers, 1 DevOps, 1 security specialist, 1 QA lead) across 18 months:

Phase 1: AI-Powered Risk & Fraud Detection (Months 1-6)

Built real-time fraud detection engine using supervised ML models trained on 5M+ historical transactions
Developed anomaly detection system using unsupervised learning to identify novel fraud patterns
Implemented automated AML transaction monitoring with risk-based scoring (low/medium/high)
Created alert management dashboard for compliance team with case prioritisation
Integrated real-time sanctions screening against OFAC, EU, and UK lists

Phase 2: Automated KYC & Onboarding (Months 5-10)

Redesigned onboarding flow with automated document verification using OCR and liveness detection
Integrated third-party KYC providers (Onfido, Jumio) for identity verification
Built automated risk assessment scoring based on customer data, behavioural patterns, and open banking data
Implemented progressive profiling to reduce initial friction (basic account → full features)
Created automated decision engine that approved 78% of applications instantly

Phase 3: Unified API Integration & Compliance (Months 8-18)

Architected centralised API gateway connecting to 23 external services (Open Banking, Visa, Mastercard, Apple Pay, Google Pay)
Built payment orchestration layer to intelligently route transactions based on cost, success rates, and latency
Developed automated regulatory reporting system pulling data from unified data warehouse
Created compliance dashboard with real-time KPIs, audit trails, and regulatory submission tracking
Implemented automated GDPR data handling with customer data export and deletion workflows

Result

Business Impact:

💳 Customer base grew from 250k to 520k (108% increase) in 18 months
💰 Fraud losses reduced from £1.2M to £280k annually (77% reduction)
📊 Customer onboarding increased by 156%, adding 12,000+ new customers monthly
🎯 Customer acquisition cost (CAC) decreased by 34% due to improved conversion rates

Operational Efficiency:

⚡ KYC approval time reduced from 3-5 days to 4 hours on average
🤖 78% of KYC applications auto-approved, freeing up compliance team for complex cases
📉 AML case backlog eliminated, with average case review time dropping from 45 minutes to 8 minutes
⏱️ FCA audit preparation time reduced from 400 hours to 60 hours per quarter

Risk & Compliance: