According to Sphericalinsights report, the global robo-advisory market size was valued at USD 4.13 billion in 2021 and is expected to grow at a compound annual growth rate (CAGR) of 29.7% from 2022 to 2030. The widespread digitalization in banking, financial and insurance sectors is the reason to drive the demand for intelligent chatbots and robo-advisors.  

Intelligent Chatbots – Continuing to Evolve with LLMs and Generative AI 

Chatbots are automated tools stimulating human conversations to answer user queries. They evolved from a simple Q&A interface to intelligent conversation AI with technology innovations such as LLMs and Generative AI. 

Intelligent chatbots powered with neural networks can easily manage open-ended user queries and specific user requests. Some organizations are integrating intelligent chatbots with RPA tools to trigger basic automated tasks for improved customer experience.  

Use Cases of Chatbots in Banking

Automating mundane banking operations – Banking AI Chatbots can automate mundane customer service tasks such as processing account applications etc. eliminating the costs associated with employing multiple representatives. By automating customer support for simple and redundant queries, banks can help their skilled and focused employees to deal with complicated and tricky issues faced by customers. 

Automated Insurance operations – Insurance companies may enhance productivity, cut costs, and streamline processes with the aid of automation and banking chatbots. Underwriting, claims processing, customer support, and policy administration are a few examples of these responsibilities. 
Automation can also assist insurers in offering better customer service by facilitating quicker response times, 24/7 accessibility, and individualized interactions. This may aid in raising client retention and satisfaction levels. 

Automated customer service – Banking AI Chatbots allow customers to have convenient and personalized interactions with their bank, eliminating the need to wait on hold or visit a branch. They can provide helpful advice, manage finances, transfer funds, and answer questions in real-time – making customer service more efficient than ever.  

Robo-Advisors to Automate Advisory for Digital Banking, Insurance and Investment  

Robo-advisors are built on artificial intelligence algorithms trained intensively on a specific subject matter, so they are capable of providing automated intelligent advisory services. Different types of organizations have started adopting robo-advisors as part of ascendant digital and AI culture. 

Organizations from BFSI industry are hugely investing in Robo-advisors, especially investment and capital markets firms are availing them to help their customers with investment advisory and automated portfolio management. 

Use Cases of Chatbots in Banking

Advice or suggestions for banking customers – Robo advisors have established themselves in the banking and financial services sectors to offer personalized services to customers. It also provides better efficiency and diversification. 
As they are designed with algorithms that can swiftly evaluate massive quantities of data and deliver individualized suggestions based on a client’s goals, risk tolerance, and investment preferences, Robo-advisors can be useful in navigating complex transactions. 

Helping in navigating complex banking transactions – Difficult investment management tasks like asset allocation, rebalancing, tax-loss harvesting, and portfolio optimization can be handled by Robo-advisors. These jobs in the past needed a human advisor to invest a lot of time in data analysis and decision-making. Robo-advisors give real-time updates and notifications on market developments and other variables that can affect a client’s investment strategy. And this can assist investors in staying informed and deciding on their portfolio in an informed manner. 

Robo-advisors in insurance policies purchase and claim processing –  Robo-advisors can be used to assist people in locating the best insurance plans depending on their requirements, spending capacity, and risk tolerance. They can also give advice on which policy may be best for a person and assist in helping them comprehend their available options. 
Robo-advisors might be helpful for handling claims as well. They may guarantee that the necessary evidence is provided and assist people in promptly and easily submitting their claims. By evaluating claims data to ascertain whether a claim is legitimate, and if the policyholder is eligible for settlement, robo-advisors can also help with the claims assessment process. 

With Veltris, Equip your Business with Intelligent Chatbots to Deliver Personalized Experiences to Prospects and Customers

Veltris has been providing intelligent conversational chatbots, intelligent virtual assistant, NLP, NLU and NLG powered AI solutions to our customers in different industries.  

Our expertise includes: 

  • Developing intelligent chatbots that learn with every interaction, and they adapt to the nuances of the human users. 
  • NLP solutions that integrate and process data from different channels to deliver conversational chat between users and businesses. 
  • NLP solutions that automate parsing the content, extracting potential business rules, and recommending corrective actions. 

Leveraging our extensive research and unparalleled AI work, we are now providing Generative AI and LLM (Large Language Model) solutions that help organizations reinvent their businesses. 

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