AI Prediction Engine
Propensity, churn, CLV and next-best-action from transaction signals. Explainable ML at enterprise scale — BaFin and MaRisk audit-ready out of the box.
Prediction Engine
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 full portfolio
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 CLM/CVM orchestration engine
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
Built for regulated financial services
Our Prediction Engine is purpose-built for the financial services industry — trained on real banking data and designed for regulatory compliance from day one.
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Trained on FSI data — Models pre-trained on financial services transaction patterns, not generic datasets
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Explainable outputs — Every prediction carries feature-level explanations for audit and review
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Real-time + batch modes — Score at event time or in scheduled batch runs depending on the use case
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GDPR-compliant scoring — Consent-aware processing, data minimisation and full audit trail
What banks use the Prediction Engine for
Identify high-propensity prospects and optimise application funnels. AI-scored lead prioritisation and personalised checkout flows for card programmes.
Score mortgage propensity from transaction patterns and life-event signals. Surface the right customers to relationship managers at the right time.
Early warning scores trigger retention journeys before churn occurs — across cards, accounts and insurance products.
Identify eligible customers at the right lifecycle stage for additional products. Signal-driven decisioning replaces batch segment campaigns.
Upgrade timing models for premium cards, higher-tier accounts and insurance products — driven by spend patterns and engagement signals.
Dynamic, behaviour-based segmentation that updates in real time — replacing static demographic groups with actionable, data-driven clusters.
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.
See how governed customer data and safe AI improve both growth and compliance.
One session. Your use case. Real numbers.