by Don Halliwell

TLDR: they already are.

How to Leverage AI in Commercial Insurance: Unfolding the Potential of ChatGPT, Bard, and Other AI solutions.

While some people are concerned about the potential negative impacts of AI, we believe that the benefits far outweigh the risks. AI has the potential to make commercial insurance more efficient, affordable, and accessible. We are optimistic about the future of AI in commercial insurance and believe that it has the potential to make a positive impact on the industry.

Artificial Intelligence (AI) has revolutionized various industries and the commercial insurance sector is no exception. Cutting-edge AI models like OpenAI's ChatGPT, Bard, and others are transforming the way insurance companies conduct business, providing benefits such as enhanced customer service, improved risk assessment, and streamlined claims management.

How TrustLayer is already using these tools

Modern risk managers must be on the forefront of new technologies. Their partners should be too. TrustLayer is dedicated to building tools for forward-thinking risk professionals. That's why we've been hard at work for months exploring how exciting new language processing models can be incorporated into our tool and the industry at large.
Even just this week our product team spent time at the Craft Ventures Generative AI Hackathon in San Francisco to work alongside our peers at other companies trying to move this technology forward at a break-neck pace.

Fun fact: Our team has already deployed these technologies in many ways and is actively innovating daily.

AI and Commercial Insurance: A Synergistic Approach

Commercial insurance is a complex business characterized by large, diverse, and often nuanced risk portfolios. Traditional methods of risk assessment, policy underwriting, and claims handling can be time-consuming, labor-intensive, and prone to errors. AI comes as a game-changer, making these processes efficient, accurate, and customer-centric.
 
AI models leverage Machine Learning (ML) and Natural Language Processing (NLP) to analyze vast amounts of data, predict trends, and generate insights. For instance, ChatGPT, a state-of-the-art language model by OpenAI, can understand and generate human-like text, making it instrumental in enhancing customer interaction and service.

The potential Role of Chatgpt and Bard in Commercial Insurance

ChatGPT and Bard, a large language model from OpenAI and Google, respectively. They can be harnessed in several ways to improve commercial insurance operations.

Enhanced Customer Service

ChatGPT may one day act as a virtual assistant, handling customer queries round the clock. It would provide customers with instant responses, helping them with policy details, claim procedures, and more. This not only improves the customer experience but also reduces the workload of customer service representatives.

Streamlined Underwriting

Every underwriter knows that any data they can glean that they can factor into their actuarial model is what gives them an edge. Data and speed are a competitive advantage. Imaging a world where Bard can assist underwriters by analyzing customer inputs and suggesting appropriate policies. It can identify potential risk factors based on its training data, helping underwriters make more informed decisions. Imagine access to vast new datasets and the ability to summarize insights in seconds via ChatGPT so that underwriting can quote competitively and quickly.

Efficient Claims Processing

Bard and ChatGPT stand to vastly expedite the claims process. It could gather initial claim information from customers, guide them through the process, and even make preliminary assessments based on the details provided. This can significantly reduce claim handling time and enhance customer satisfaction. It would also be able to process this and package it up nicely for its human counterparts in claims. Having sat in claims ourselves, we know that those folks could always use an extra resource or ten.

The Potential of AI in Insurance

As we’ve already discussed ChatGPT and Bard, another powerful AI model from Google, have great potential in the commercial insurance industry. They can perform various tasks, such as text generation, translation, and summarization, proving useful in several other aspects of insurance operations as well.

Risk Assessment

AI’s ability to analyze and summarize vast amounts of data makes it a valuable tool for risk assessment. It can quickly process and distill complex information from various sources like policy applications, risk reports, and historical claim data, providing underwriters with comprehensive risk profiles.

Policy Management

ChatGPT can also help in managing policy documents. There’s a not too distant future where we may trust it to read, understand, and summarize policy terms and conditions, making it easier for both insurers and customers to understand policy details. This transparency can improve customer trust and satisfaction.

Other AI Solutions in Commercial Insurance

Apart from ChatGPT and Bard, there are other AI models that are transforming the commercial insurance landscape.

AI-powered data analytics tools can analyze large datasets to identify patterns and trends, aiding in risk assessment and pricing. Predictive models can forecast potential claims, enabling proactive risk management. AI-powered chatbots can handle customer queries, while AI-based document management systems can streamline the handling of policy documents and claim forms.

So… Where Does that Leave Us with AI Today?

AI is reshaping the commercial insurance industry, offering a new level of efficiency, accuracy, and customer centricity. Innovative AI models like ChatGPT and Bard, with their advanced NLP capabilities, are proving instrumental in enhancing customer service, improving risk assessment, and streamlining claims management. As the insurance industry continues to evolve, the integration of such AI solutions will become increasingly crucial to maintain a competitive edge.

Note: While AI models like ChatGPT and Bard hold immense potential, their successful implementation requires a strategic approach. Companies must ensure proper training of these models with relevant and diverse data to ensure accurate outputs. Moreover, ethical considerations, such as data privacy and AI transparency, must also be addressed to ensure responsible use of AI.

Artificial intelligence doesn't replace the human touch but augments it. Underwriters and claim adjusters still play a critical role in applying judgment where the model's output isn't clear or needs interpretation. Additionally, when it comes to complex customer inquiries or delicate situations, human intervention is still essential. Therefore, the ideal approach is to create a harmonious blend of AI technology and human expertise.
 
 *Article written by ChatGPT and Bard with the help of a grateful human. What do you think? Did they get it right? Let us know!