The ACCELERAID Platform
AI Prediction Engine
Propensity, churn, CLV and next-best-action from transaction signals. Explainable ML at enterprise scale — BaFin and MaRisk audit-ready.
+15%
Avg uplift
3.5bn
Transactions analysed
Real-time
Scoring
Explainable
AI
Key Capabilities
Prediction Engine: what it delivers
Capability 1
Propensity Scoring
Churn, purchase and product affinity outputs trained on your banking data. Scores that ops teams can actually use — propensity models that adapt continuously to changing customer behaviour patterns.
Purchase propensity per product category
Churn probability with early warning signals
Product affinity scoring across the full portfolio
Capability 2
Next Best Action
Real-time decisioning that recommends the next best product, offer, channel or service action — at the right moment for each customer. Move beyond segment logic to true 1-to-1 orchestration.
Context-aware recommendations per customer
Optimal channel & timing selection
Integrated with the CLM/CVM orchestration engine
Capability 3
Explainable ML
Audit-ready, BaFin-compatible model outputs. Every score has a traceable explanation — making model outputs transparent for operational adoption and regulatory review in regulated financial environments.
Feature importance for every prediction
Model registry with full version history
Governance documentation on demand
Why ACCELERAID
Entwickelt für regulierte Finanzdienstleistungen
Our Prediction Engine is purpose-built for the financial services industry — trained on real banking data and designed for regulatory compliance from day one.
Trained on FSI data
Models pre-trained on financial services transaction patterns, not generic datasets
Explainable outputs
Every prediction carries feature-level explanations for audit and review
Real-time + batch modes
Score at event time or in scheduled batch runs depending on the use case
GDPR-compliant scoring
Consent-aware processing, data minimisation and full audit trail
Use Cases
What banks use the Prediction Engine for
Card Acquisition
Identify high-propensity prospects and optimise application funnels. AI-scored lead prioritisation and personalised checkout flows for card programmes.
Mortgage Advisory
Score mortgage propensity from transaction patterns and life-event signals. Prioritise the right customers for advisors at the right time.
Churn Prevention
Early warning signals trigger retention journeys before customers churn — across cards, accounts and insurance products.
Cross-Sell
Identify eligible customers at the right lifecycle stage for additional products. Signal-driven decisioning replaces batch segment campaigns.
Upsell
Upgrade timing models for premium cards, higher-tier accounts and insurance products — driven by spend patterns and engagement signals.
Segmentation
Dynamic, behaviour-based segmentation that updates in real time — replacing static demographic groups with actionable, data-driven clusters.
AI Model Library
18 pre-built prediction scores — ready on day one
From churn prediction to customer lifetime value — all models are pre-trained on financial services data and fully explainable for regulatory requirements.
15+
Years in regulated markets
250+
Enterprise deployments
3.5bn
Transactions analysed
6–9 mo
Average time to ROI
See how secure customer data and responsible AI improve growth and compliance
One conversation. Your use case. Real numbers.
