By 2030 Banking Will Be Proactive: Monika Kashyap on AI and Human Trust
What will commercial banking feel like in 2030? Monika Kashyap, Head of Decisioning and Omnichannel at HSBC UK, argues that the best banks will move from simply processing transactions to anticipating needs—with intelligent systems that support, rather than displace, human judgement.
The episode at a glance
- Trust, useful insight and strong relationships remain central to commercial banking.
- Monika sees AI as augmented intelligence that helps staff make better decisions.
- Proactive, predictive service needs transparent governance and human empathy.
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Four ideas worth taking from this conversation
A business customer wants a partner, not just a product
From sole traders to complex organisations, the right banking interaction depends on context and relationship quality. Monika discusses why speed matters, but relevant guidance and confidence in the bank often matter more than a standalone digital feature.
AI should augment human decision-making
Monika explicitly describes AI as augmented intelligence: a way to surface information, organise complex signals and help colleagues respond better. This is especially important where customers need explanation, reassurance or advice rather than an automated answer.
Decisioning requires guardrails and a coherent voice
A decision engine is only as useful as its governance and the trust it earns. Monika examines rules, data, consistent brand communication and the importance of keeping expert relationship managers available when decisions have significant consequences.
The 2030 bank recognises needs earlier
Her vision is more proactive and predictive banking, informed by relevant online and offline behaviours. Ideally, the bank can anticipate the next useful step without becoming intrusive; the differentiator will be empathy embedded in the process, not AI for its own sake.
A practical takeaway
Map a commercial banking journey from the first digital signal to specialist support. Define where proactive outreach helps, where customers need an explanation and when a human relationship manager must take over.
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