Redefining Finance with Agentic AI: Where Intelligence Acts and Data Leads

Artificial Intelligence (AI) holds extraordinary promise for the financial services industry. But for banks and insurers in Singapore, unlocking that promise remains an ongoing challenge. Siloed systems, fragmented data pipelines and sluggish decision cycles continue to slow down innovation. Strategic decisions are often made with incomplete insights. 

As competitive pressure mounts – from digital-native entrants to rising consumer expectations – financial institutions are rethinking how intelligence flows across the business. The challenge is no longer just about collecting data, but about activating it seamlessly, securely and at speed. 

What’s emerging now is a more advanced frontier: Agentic AI.  

For Singapore’s banks and insurers, this transformation unleashes unprecedented advantages, supercharging agility to anticipate and respond to market disruptions, accelerating the launch of innovative products and delivering deeply personalised, data-driven customer experiences.  

Empowered by governed analytics platforms that provide real-time, context-rich insights, Agentic AI embeds intelligence at the very heart of decision-making, empowering businesses to act swiftly, decisively and with unwavering confidence. 

But Agentic AI is only as effective as the data foundation it’s built on. In a landscape defined by complexity and nuance, more data isn’t always better. What truly matters is data that is timely, trusted and traceable, achieved through seamless integration, strong governance and modern analytics that turn raw signals into clear, actionable insights. This requires an end-to-end framework linking data to enterprise-wide decision-making. 

The shift is already underway. Financial institutions are decentralising analytics and decision-making, empowering teams to work with governed data in self-service environments. Business units no longer wait on central teams; they generate insights and act swiftly with precision. This is becoming a strategic differentiator in a market where the ability to move first and act confidently defines success. 

As AI adoption matures, the conversation is shifting – from whether to invest, to how to embed it meaningfully and sustainably across workflows. Leading organisations aren’t chasing the biggest models – they’re asking sharper questions: 

• Where does Agentic AI drive the most business value? 

• What data do we need to fuel that intelligence and how do we make it usable and trusted? 

• How do we embed intelligence where they deliver measurable, real-world value? 

The financial services firms that lead will be those that don’t just collect data or build models, but operationalise it. They will create systems of intelligence: deeply embedded in workflows, aligned to strategic goals and powered by governed data and real-time analytics that turn insight into decisive action. 

The session will allow delegates to:

• EXPLORE the potential of Agentic AI to autonomously enhance governance in the FSI sector 
• LEVERAGE trusted, governed data to power responsible AI use cases 
• UNLOCK real-time, contextual insights by connecting data directly to decisions 
• EMPOWER firms with governed self-service analytics to drive faster, smarter actions 
• NAVIGATE the institutional, ethical and strategic dimensions of Agentic AI adoption 

• Chief Information Officers 
• Chief Data Officers 
• Chief Transformation Officers 
• Chief Technology Officers 
• Chief Digital Officers 
• Chief Analytics Officers 
• Chief Innovation Officers 
• Directors and Heads of Analytics and Information Management 
• Directors and Heads of Applications 
• Directors and Heads of Data 
• Directors and Heads of Technology Capabilities and Innovation 
• Heads of Data Science  

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