AI in BFSI: Success Stories & Insights
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Over the past year, Ecosystm has conducted extensive research, including surveys and in-depth conversations with industry leaders, to uncover the most pressing topics and trends. And unsurprisingly, AI emerged as the dominant theme.

Here are some insights from our research.

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Click here to download ‘AI in BFSI: Success Stories & Insights’ as a PDF

From personalised recommendations to streamlined operations, AI is transforming the products, services and processes in the BFSI industries. While leaders realise that AI holds significant potential, turning that potential into reality is often tough. Many BFSI organisations struggle to move beyond AI pilots because of some key barriers.

Biggest AI Barriers in BFSI

Despite the challenges, BFSI organisations are witnessing early AI success in these 3 areas:

  1. 1. Customer Service & Engagement
  2. 2. Risk Management & Fraud Detection
  3. 3. Process Automation & Efficiency

Customer Service & Engagement Use Cases

  • Virtual Assistants and Chatbots. Delivering real-time product information and customer support
  • Customer Experience Analysis. Analysing data to uncover trends and improve user experiences
  • Personalised Recommendations. Providing tailored financial products based on user behaviour and preferences

“While we remain cautious about customer-facing applications, many of our AI use cases provide valuable customer insights to our employees. Human-in-the-loop is still a critical consideration.” – INSURANCE CX LEADER

Risk Management & Fraud Detection Use Cases

  • Enhanced Credit Scoring. Improved assessment of creditworthiness and risks
  • Advanced Fraud Detection. Easier detection and prevention of fraudulent activities
  • Comprehensive Risk Strategy. Assessment of risk factors to develop effective strategies

“We deployed enterprise-grade AI models that are making a significant impact in specialised areas like credit decisioning and risk modelling.” – BANKING DATA LEADER

Process Automation and Efficiency

  • Backend Process Streamlining. Automating workflows and processes to boost efficiency
  • Loan & Claims Processing. Speeding up application and approval processes
  • Invoice Processing. Automating invoice management to minimise errors

“Our focus is on creating a mindset where employees see AI as a tool that can augment their capabilities rather than replace them.” – BANKING COO

Singapore Fintech Festival 2024
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