Executive summary
Zafin and BIAN partnered with a leading Tier 1 North American financial institution to explore how banks can better retain customers in an increasingly competitive landscape.
Through a sophisticated proof of concept, the team combined AI, Machine Learning, market intelligence, and composable architecture to identify competitive threats, pinpoint at-risk customers, and deliver targeted offers in real time.
The result: a scalable, event-driven framework that transforms customer retention from reactive to proactive.
The challenge
Banks today have more data than ever, but struggle to act on it effectively.
The bank sought to address critical gaps:
- Limited visibility into how their products compared to competitors
- Difficulty identifying customers at risk of attrition
- Inability to deliver timely, personalized offers during key interactions
- Fragmented systems preventing coordinated, real-time decisioning
Put simply, the core challenge was execution at the right moment.
The approach
The PoC introduced a multi-stage, AI-driven customer retention model built on BIAN service domains and Zafin capabilities:
- Market intelligence: AI models scanned and analyzed competitor offerings to identify pricing and product gaps
- Competitive benchmarking: The team benchmarked external data against internal product and pricing models
- Customer identification: AI models identified at-risk customers using behavioral signals and existing relationships
- AI-driven decisioning: Machine learning models refined candidate lists and recommended next-best offers
- Real-time engagement: The system delivered offers at the moment of customer interaction—not through delayed campaigns
- Continuous learning: Customer responses fed directly back into the system, sharpening future recommendations
This was all orchestrated through an event-driven, composable architecture, based on the BIAN Models, enabling multiple service domains and vendors to work together seamlessly.
What was achieved
The PoC successfully demonstrated that banks can:
- Integrate AI into structured, enterprise-grade architectures
- Respond dynamically to changing market conditions
- Coordinate multiple service domains in real time
- Deliver personalized offers exactly when they matter most
Key technical achievements included:
- Event-driven orchestration across BIAN service domains
- Integration of AI models without exposing proprietary logic
- Reusable, modular architecture supporting rapid iteration
- Parallel development across distributed teams and systems
Why it matters
This PoC represents a fundamental shift in how banks approach customer retention.
Instead of relying on static campaigns or delayed responses, banks can now:
- Continuously monitor competitive pressure
- Adapt products and pricing dynamically
- Engage customers with precision and timing
- Improve outcomes through ongoing learning
Strategically, it demonstrates that:
- AI and composable architecture are most powerful when combined
- BIAN and Zafin help provide the structure needed to scale these capabilities
- Banks can modernize incrementally while delivering immediate value
Looking ahead
The PoC builds on a broader modernization journey and contributes directly to future-state architecture strategies, including:
- Externalizing product and pricing from legacy core systems
- Embedding AI into decisioning workflows
- Expanding event-driven orchestration across additional use cases
It’s designed to scale — supporting not just retention, but the full spectrum of customer engagement and product innovation. That’s what it means to accelerate banking success.