May 31, 2023 | Blog | 3 minutes

Transforming BFSI: Exploring the Power of AI, ML, and RPA

Seema Karwa

Head of Sales

Use Cases of AI in the BFSI Segment:

  1. Customer Engagement - With Automated Targeted Marketing, AI can analyze vast amounts of customer data to identify the most promising leads and eliminate unnecessary spending on ineffective campaigns. It enables highly targeted campaigns with hyper-personalization. Additionally, AI can utilize Sentiment Analysis to gather customer feedback and reviews from various sources, including social media and online forums, to understand their experience and make necessary changes to improve customer satisfaction. One of China's largest insurers has used AI to enhance their customer experience by developing an AI-powered chatbot that handles customer queries and provides personalized recommendations based on their financial data.
  2. Credit Risk Assessment - AI can be employed to analyze customer data, including credit history, income, employment, and demographic information, to predict the likelihood of default. This helps banks make better-informed decisions on loan approvals and appropriate interest rates. Furthermore, AI can monitor changes in the credit risk of customers over time by analyzing transaction history, payment behavior, and other factors. This aids banks in identifying potential default risks and taking appropriate actions to mitigate them.
  3. Cybersecurity & Fraud Detection - Every day, a huge number of digital transactions take place as users pay bills, withdraw money, deposit checks, and engage in various activities via apps or online accounts. Thus, there is an increasing need for the banking sector to enhance its cybersecurity and fraud detection efforts. This is where artificial intelligence in banking comes into play. AI can help banks improve the security of online finance, identify loopholes in their systems, and minimize risks. AI, along with machine learning, can easily identify fraudulent activities and alert customers as well as banks.
  4. Document Processing - There is a vast amount of paperwork involved in BFSI operations, such as loan applications, insurance claims, and account opening documents. Manual processing of these documents can be time-consuming and error-prone, resulting in delays, errors, and customer dissatisfaction. For this specific use case, we have a ready solution called 'NaviCADE' that can assist with:
    1. Data Extraction - AI-powered optical character recognition (OCR) can extract data from documents such as forms, contracts, and invoices. This significantly reduces the time and effort required for manual data entry while improving accuracy.
    2. Document Classification - AI algorithms can be trained to classify documents based on their types, such as loan applications, insurance claims, or account opening forms. This streamlines document processing workflows and improves efficiency.
    3. Language Translation - In a globalized world, BFSI companies often deal with customers and documents in multiple languages. AI-powered language translation can accurately and quickly translate documents, reducing the time and cost involved in manual translation.
    4. Document Summarization - AI-powered document summarization can extract key information from lengthy documents, such as contracts or policies, saving a lot of critical time and energy spent in decision-making processes.

Experience the transformative power of AI in the BFSI sector and unlock new possibilities for customer engagement, risk assessment, cybersecurity, and document processing. Contact us to explore the potential of AI in your organization and drive unprecedented growth and efficiency.