MAIA

Tag: Conversational AI

  • Artificial intelligence in insurance

    Artificial intelligence in insurance

    Introduction

    Artificial Intelligence is having a significant impact today and the insurance industry is no exception. In the insurance industry AI is being used to improve customer experience, operational efficiency and profitability.

    Conversational AI is a technology that enables communication between computers and people through natural language, both written and spoken. Conversational AI is based on natural language processing (NLP), which is the ability to analyze, understand and generate human language.

    If you want to know more about Conversational AI read our article: “What is Conversational AI and how did we get here?”

     

    Technological advances promise a significant expansion of Conversational Artificial Intelligences in the insurance sector.
    Technological advances promise a significant expansion of Conversational Artificial Intelligences in the insurance sector.

    Fields of application of AI in the Insurance Sector

    It helps insurers to manage claims more efficiently and effectively. For example, conversational AI is used to facilitate communication and coordination between the different actors involved in the process, such as the client, the adjuster, the garage or the insurer, and to optimize resource allocation and decision making. All this allows faster and more informed decisions to be made.

    Risk assessment

    In this sense, Artificial Intelligence refines risk assessment, enabling the collection and accurate analysis of data from various sources, such as electronic sensors, social networks, medical records or public records. In addition, it enables the creation of predictive models capable of estimating more accurately the probability and impact of potential adverse events, thus allowing early warnings to policyholders.

    Personalization of products and services

    AI can help us to accurately identify the varied needs, preferences and expectations of individual customers. This approach translates into the creation of personalized proposals that are specifically tailored to each risk profile. Moreover, these proposals can be communicated by conversational AI through various channels such as WhatsApp, emails, voice or other channels agreed between the company and the customer.

    Fraud prevention

    Fraud prevention is crucial for insurance companies, as it helps minimize financial losses, establish competitive rates and preserve customer confidence by ensuring integrity and fairness in claims handling.

    Using anomaly detection techniques, the establishment of verification and validation mechanisms are actions that can currently be carried out by Artificial Intelligence developments. Conversational AI facilitates the identification of verification patterns or identify specific terms that may indicate fraud or inconsistencies in the customer’s history, potential signs of deception.

     

    The Future of Conversational AI in the Insurance Industry

    Technological advances promise a significant expansion of Conversational Artificial Intelligences in the insurance sector. Further automation is foreseen, not only in existing processes, but also in the creation of new innovative products. The emergence of these products will allow the creation of insurance products that are more adapted to the singularities of the users, thus marking a significant change in the services offered in the sector.

    Exploration of case studies on Artificial Intelligence in general in the insurance sector.

    After a brief investigation of the sector, we have been able to identify companies that have applied AI in business processes with interesting results. Some examples of these case studies are:

    • The analysis of customer claims and assignment to the most appropriate claims managers according to their complexity and urgency. The system also helps to detect potential fraud and improve customer satisfaction.
    • Offering travel insurance based on real-time flight data. The systems are able to use blockchain-based smart contracts to automate the payment of compensation in case of flight delays or cancellations, without the need for the customer to file a claim.
    • Machine learning to analyze claims data, underwriting and other processes. A company that applied artificial intelligence to these processes and among the benefits were: reduced fraudulent claims, increased underwriting accuracy and optimized business processes.
    • Using machine learning to analyze weather trend data, traffic data and other data, which has helped the company better understand the risks associated with extreme weather events, driver behavior and other factors.

    In summary, companies in the insurance sector are progressively integrating artificial intelligence into the core of their business structure. In this context, conversational artificial intelligence plays a crucial role in the smooth interaction in a sector where there are certainly many players, such as the customer, the adjuster, the workshop, the mediator or the insurer…

    Want to see how MAIA can help improve your business processes and customer experience? Book your demo here.

     

  • AI and the transformation of the CX in Banking (I)

    Finance is a fundamental part of our daily lives, and of course, banking services are essential in modern society. In recent years, technology has transformed the banking industry and the way we relate to it. Artificial Intelligence (AI) and the transformation of the Customer Experience (CX) in Banking are closely related.

    Evolution of the Banking Sector

    There are many changes that we have witnessed in the banking sector in recent years, among others, we can list by way of example:

    • Digital Banking, nowadays all banks have digital platforms that allow us, in self-service mode, to carry out all kinds of operations and transacctions: account opening, transfers, currency exchange, investment in stock markets…
    • Conversational Banking which, using “digital banking” platforms, has enabled banking and customers to interact in real time through text messaging, voice, mobile applications, messaging apps and websites to offer new channels of contact and unprecedented levels of service; let’s not forget that the goal of the “digital banking” is to “empower customers and banks to interact in real time through text messaging, voice, mobile applications, messaging apps and websites to offer new channels of contact and unprecedented levels of service. Let’s not forget that the objective of “Conversational Banking” is to try to reproduce the experience of the “offline” customer relationship and provide a complete and quality online experience.
    • The Open Banking which, following regulation by the European Parliament in 2015 (Payment Services Directive PSD2, Directive (EU) 2015/2366), has brought about a decisive change by promoting the development and use of innovative solutions that are integrated into the ecosystem of banking solutions thanks to the use of APIs.
    • The emergence of Neobanks and Fintechs, whose core business is fully aligned with digital and innovation, have opened the doors to a multitude of competitive and innovative services in the sector.

     

    Artificial Intelligence has had a special impact on the Transformation of the Customer Experience in Banking. Virtual assistants are here to stay and facilitate multiple operations for customers.

    Application of AI in Banking

    The use of AI in banks is not new; investment banks, for example, have used AI and Machine Learning long before other sectors to predict behavioral patterns. Over the last decade, banking has embraced AI in a variety of ways to improve operational efficiency, customer experience and decision making.

    Banks are currently applying AI to create portfolios, choose assets, perform analysis of large financial data sets, fraud detection, make predictions of economic trends and investment risks.

    The opportunities for AI applications go beyond basic banking activities. Implementing AI in customer interactions, in line with strategies such as “conversational banking,” among other things, makes it possible to manage frequently asked questions and provide quick answers to customers or personalized recommendations for banking or financial products and services, improving the customer experience and customer service and extending its coverage to 24/7.

    In a recent study, the McKinsey Global Institute (MGI) has estimated that, in the Banking sector, Generative AI also known as “GenAI” could have a huge impact generating an additional value of between $200 billion and $340 billion per year; all this by increasing productivity in functions such as marketing, sales and customer interactions, among other use cases. [1].

    Use cases of conversational AI in Banking

    If we put the focus on marketing activities and customer interaction, we can consider multiple use cases for Artificial Intelligence, but in this specific article we will focus on Conversational AI.

    Conversational AI is a branch of artificial intelligence that simulates human conversations (if you want to know more about Conversational AI, you can read our article: “What is Conversational AI and how did we get here“).

    The strategies of closure and reduction of physical offices of banks, due to the growing demand by customers for non-face-to-face services, have transferred a significant volume of these face-to-face interactions to the digital customer service channels that banks make available to their customers: digital banking, telephone banking…

    Perhaps the most relevant use cases for the application of Conversational AI in Banking are focused on the automation of conversations through AI Conversational Assistants or intelligent banking assistants.

    Banking Assistants

    AI has been integrated into mobile apps and voice assistants, allowing customers to perform banking transactions, check balances and obtain current financial information immediately through voice commands.

    Recommendations of personalized products and services, such as savings accounts, credit cards or investments.

    Wizards for improved Customer Service, thanks to the attention of frequently asked questions and provide quick answers to customers online, improving customer service 24 hours a day.

    Benefits of Conversational AIs in Banking

    We can not fail to review some of the key benefits from a Customer Experience (CX) perspective, we could surely list many more, but to point out the most important ones are:

    • Extending customer service and transactional request management to channels with high demand such as WhatsApp or chats in a fully automated way.
    • Improving accessibility to services for groups with disabilities or the elderly after the disappearance of physical offices, adapting the experience to their needs and most common operations and keeping open the possibility of referring them to other services.
    • Hyper-personalization of the customer experience based on data analysis, with the possibility of personalized notifications and recommendations.
    • Service improvement and offer prospecting taking into account real customer demands.

    Additionally, it is not easy to ignore the economic impact that AI could bring to the banking sector equivalent to an additional value of between 200 and 340 billion dollars per year! A not inconsiderable sum…

    Challenges of AI in Banking

    The integration of artificial intelligence (AI) in the banking sector, while promising, is not without significant challenges. Challenges that are not entirely different from those found in other sectors.

    Protecting the privacy of financial data becomes crucial, with the need to ensure robust security measures. In addition, AI, lacking a full understanding of the human context, faces challenges in interpreting nuances and making ethical decisions, underscoring the importance of addressing these issues for effective and ethical deployment in future banking.

    In conclusion, the integration of Artificial Intelligence taking place in the banking sector has marked a significant milestone, as it is redefining the customer experience. From intelligent assistants that provide instant answers to data analytics systems that personalize recommendations, AI has driven a positive revolution in customer service.

    This marriage of advanced technology and financial services has not only improved operational efficiency, but has also raised customer satisfaction, setting a higher standard for the industry as a whole. Artificial intelligence is not just a tool, but a catalyst that has transformed the way customers interact with and perceive banking services, paving the way for a more agile and user-centric financial future.

    Discover how MAIA can be your best ally. Experience firsthand how Artificial Intelligence is a determining factor in the transformation of the Customer Experience in Banking.

    [1] The economic potential of generative AI: The next productivity frontier, McKinzey June 14, 2023