FSI & AI Singapore Summit
The Financial Service Industry is an early adapter with AI. Early use cases have been deployed in numerous cases including customer experience, fraud detection, investment selection, KYC, onboarding, personalization, security, GRC, operational efficiency, credit and underwriting decisioning and ESG.
Nonetheless, trust, ethics, compliance, governance, and scaling at speed remain challenging to AI and Data leaders in FSI. With fairness and privacy under scrutiny, AI models must be robust, explainable, and validated.
The FSI & AI Singapore Summit aims to provide a platform for AI & Data leaders in the Banking, Financial Services, and Insurance industries to explore the way forward. The Summit, which will feature a blend of insightful presentations and panel discussions, aims to accelerate AI adoption responsibly to maximize business impacts securely in a heavily regulated environment.
This Summit is for all professionals involved in digital, data, cybersecurity, transformation, and IT, including:
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Chief Data Officers
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Chief AI Officers
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Chief Analytic Officers
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Chief Digital Officers
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Chief Information Officers
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Chief Technology Officers
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Chief Transformation Officers
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Chief Innovation Officers
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Chief Customer Officers
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Chief Compliance Officers
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Heads of AI
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Heads of Data Science and Analytics
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Heads of Governance, Risks and Compliance
AGENDA
AI in financial services is now firmly woven into standard operations. Agents now change records, contact customers and, increasingly, instruct other agents. Yet our control systems and oversight are built for static scenarios; for systems that predict, not systems that act in real-time. Having the ability and access to business systems is not the same as authority. What have your agents actually been authorised to do, for whom, and under whose mandate?
With AI agents being integrated into the workforce, financial institutions are progressing to the natural next step of orchestrating them together. Yet, some opt that neither human nor non-human workforces are ready for such levels of AI autonomy, resulting in a significant increase in risk. This panel will discuss:
- The state of Agentic AI readiness in Singapore: Deployment, governance, and maturity
- Mitigating the digital risk of AI autonomy
- Enhancing human oversight: Speed, processes, and skill gaps
- Monitoring AI performance, accuracy, and consistency with AI at a scalable level
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Innovations are often customer-centric and customer-driven, and the evolution of AI in Singapore is no different. Yet with customers' adoption of autonomous AI agents, are financial institutions prepared to match their behavioural changes from outside in? This panel will discuss:
- Preparing for machine-to-machine interactions with customer-side AI agents
- Redefining customer experiences, journeys, and engagements for AI-enabled touchpoints
- Rebuilding workflow, processes, and architecture for real-time flow of data and decisioning
- Rethinking authentication, permissions, oversight, accountability, and transparency
- Enabling 24/7 personalised services and tailored offerings
Financial institutions across Singapore and the region are under pressure to turn AI from promise into performance. Some organizations already show measurable value; others are stuck in pilot mode as MAS AI risk guidelines move closer to implementation.
This invite-only roundtable, held under the Chatham House Rule, hosted by Capco in collaboration with CDOTrends, brings together senior technology and data leaders from leading institutions to explore three core questions: what actually separates AI leaders from laggards, how data foundations and legacy estates shape the ability to scale AI safely, and how institutions can navigate upcoming regulation while accelerating AI adoption.
Through case studies and peer discussion led by Capco data and AI leaders, you will compare operating models, governance choices, and data strategies — with a focus on practical decisions you can take in the next 12 to 18 months to translate regulatory change and AI investment into lasting competitive advantage.
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