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Banking today is defined by a paradox.
Across APAC, banks are investing heavily in AI and predictive analytics, yet only 11% described their hyper-personalisation strategies as highly advanced. Consumers are acutely aware of this gap. A 2025 study found that despite strong demand for personalisation, a majority of banking customers do not receive tailored experiences that meet their expectations and deliver real satisfaction.
This tension was front and centre at Money20/20 Asia 2026, where I joined industry leaders across banking and fintech to explore how AI is reshaping financial services. One idea stood out amid our discussion: the challenge is not a lack of intelligence or AI capabilities, but a lack of orchestration.
By KPMG’s calculations, agentic AI could generate $3 trillion in corporate productivity improvements over the next decade. In banking, the opportunity lies in translating that potential into more relevant customer experiences.
As AI evolves into more autonomous, agentic systems, banks now have an opportunity to move beyond isolated automation toward continuous, real-time personalisation — where every interaction is connected, contextual, and adaptive.
From fragmented to orchestrated personalisation
From repeated identity checks to inconsistent interactions, the customer journey is often far from frictionless. This can happen when an institution thinks about individual touchpoints rather than the full journey, and deploys AI in silos. When each function operates on its own logic, personalisation becomes fragmented.
This is where agentic AI introduces a fundamental shift. Instead of optimising individual touchpoints, it can coordinate decisions across the journey. Agentic AI can determine when to automate, when to escalate, and how to maintain consistency from one interaction to the next. This ensures personalisation is continuous, not episodic.
This orchestration layer is critical. TP.ai FAB Connect enables this by coordinating AI agents, human experts, and workflows across front and back office. Rather than treating personalisation as a series of isolated enhancements, FAB Connect allows banks to manage it as a connected system where context is preserved, decisions are aligned, and customer journeys flow seamlessly.
Scaling personalisation across borders and regulations
Fragmentation within the individual organisation is only part of the story. In APAC, personalisation must also operate within a complex landscape shaped by more than 20 regulatory regimes, each with its own requirements around data usage, identity verification, compliance, and customer protection.
This fundamentally changes how personalisation can be delivered. In many markets, banks cannot freely move or unify customer data across borders. Identity frameworks differ, and consent requirements may vary. These constraints can interrupt the continuity of customer experiences, especially in cross-border payments, which today’s users expect to be seamless.
In this context, personalisation cannot simply be designed once and scaled everywhere. It must be adapted within the boundaries of each market. To truly make personalisation flow, organisations must harness not just AI-powered orchestration, but cross-border AI orchestration. Banks need to ensure that every AI-driven interaction is not only relevant and timely, but also compliant, explainable, and aligned with local regulatory expectations.
With operations spanning 170+ markets, TP brings both global scale and local expertise to this challenge. Through TP.ai FAB Connect, institutions can operationalise personalisation within these constraints, ensuring that customer interactions are aligned with market-specific requirements while maintaining consistency at a regional or global level.
Expanding personalisation from efficiency to inclusion
With AI, banks can optimise personalisation for existing customers. At Money20/20, my fellow panelists and I posed a deeper question: can AI drive inclusion, not just efficiency?
Today, with over 70% of Southeast Asia still unbanked or underbanked, agentic AI opens new possibilities. By tailoring interactions in real time, simplifying onboarding journeys, and enabling multilingual, context-aware engagement, banks can extend access in ways that were previously difficult to scale. In this way, personalisation becomes a tool to create access for those who have historically been excluded.
TP.ai FAB Growth supports this by enabling intelligent, scalable acquisition and engagement. By removing operational friction, TP experts can focus on building relationships with underserved segments. At the same time, TP.ai FAB Collect demonstrates how personalisation can be applied in more sensitive moments, using predictive analytics and human-in-the-loop models to manage collections with empathy, compliance, and long-term relationship value in mind.
Together, these capabilities highlight a broader shift: from personalisation as a commercial lever to personalisation as a trust-building mechanism across the customer lifecycle.
From friction to flow
In a landscape shaped by regulatory fragmentation, rising expectations, and increasing complexity, savvy banks are leveraging the power of end-to-end AI orchestration to enhance personalisation.
Agentic AI provides the foundation for this shift. But its impact will depend on how effectively banks connect systems, align decisions, and embed context across every interaction. After all, the next phase of AI in banking will not be defined by how much intelligence institutions deploy. It will be defined by how well that intelligence flows.
