New learning cycle: How insurance employees can create the future with AI | Insurance Blog
The annual Accenture Technology Vision Report on its 25thTh One year, continues to be a huge insight into the future of our technology. This year, AI: A statement of autonomy Setting four key trends that will disrupt the technological competitive environment: the Binary Big Bang, Future Face, LLMS Gets Body and New Learning Cycle. For me, the “new learning cycle” is a particularly convincing trend for me. This trend explores how AI integration creates a virtuous cycle of learning, leadership and co-creation, ultimately driving a virtuous cycle of trust, adoption and innovation.
A good cycle of trust between AI and employees
Trust is obviously important in any industry, but because the insurance industry relies on a trust-based relationship between the client and the insurer, especially when it comes to claiming expenses, in essence, the insurer effectively sells trust. Client inertia in exchange for insurance providers depends on the fact that they are satisfied with a repeatable insurer that has made a good attitude toward this commitment of trust at the emotional moment of truth and paid in a timely manner. This spirit of trust needs to be continued into the insurance company’s relationship with employees. In order for any responsible AI program to succeed, it must be based on trust. No matter how advanced the technology is, it is worthless if people are afraid to use it. Trust is the basis for achieving adoption, which in turn promotes innovation and drives results and value. In fact, 74% Insurance executive Believe that only by building trust with employees can organizations fully capture the benefits of automation enabled by AI Gen AI. As this cycle continues, trust is established, and technology is improved, creating a self-enhancement cycle. The more people use AI, the more it will improve, and the more people want to use it. This cycle is the driving force for AI diffusion and helps enterprises realize their AI-driven aspirations.
From “people in loop” to “people in loop”
Initially, the “people in the loop” approach was crucial in promoting this dynamic interaction between workers and artificial intelligence, where humans were heavily involved in training and perfecting AI systems. As AI agents become increasingly capable, loops can transition to a more automated “people in loop” model where employees take on a coordinating role. This approach not only enhances skills and engagement, but also drives unprecedented innovation by freeing up employees’ thinking time, which is an example of fact 99% Insurance executive The tasks performed by employees are expected to be moderately shifted to innovation in the next three years.
Take advantage of employees’ desire to try out AI
Insurers need a bottom-up, not top-down approach to adopting employee AI. Stop telling your employees about AI- they already know their benefits. Everyone wants to learn, and the public’s endless possibilities for artificial intelligence are already exciting. We see this in our daily lives. We use it to help our children do their homework. this AI action numbers Trends are just a trend that shows people’s desire to show that they are willing to try and have fun. The key is to actively encourage employees to try AI. Based on our belief that if we all become skilled users of AI, we think it would be useful and enhance our careers. We have built a summary of AI among many customers. We’re lately Reshape with AI agents The survey shows that insurers expect to increase employee satisfaction by 12% by deploying and expanding AI in the next 18 months. This growth is expected to lead to higher productivity, retention, and increased customer trust and loyalty, all of which promote efficiency, growth and long-term profitability.
Insurers need to turn any perceived negative threats into positive by highlighting that AI can lead to a reduction in mundane, repetitive tasks and free employees on innovative projects such as Repindentation. and 29% of working hours The insurance industry is expected to generate AI automation and increase the enhancement by 36%, so the necessity of this constant feedback loop between employees and AI must be strengthened. The cycle will help workers adapt to the integration of technology in their daily lives, ensuring widespread adoption and integration.
Cut down ordinary and employee noise
In particular, underwriters can benefit from AI by using LLM to aggregate and analyze multiple data sources, especially in complex commercial underwriting. This can greatly reduce the time spent on tedious tasks and improve the accuracy of risk assessments. International bestseller “Noise: The flaws of human judgmentDaniel Kahneman, Olivier Sibony and my personal favorite Cass R. address the noise and bias of insurance decisions even among experienced underwriters.
Solve preparation gaps with accessibility
Although 92% of workers want to generate AI skills, Only 4% of insurers reattack at the required scale. This preparation gap shows that insurance companies are too cautious. To bridge this gap, insurers can take a more proactive approach by making AI tools easy to access and encouraging their use. For example, in our own organization, all employees regularly use AI tools such as copy and writers. We don’t have to tell them to use these tools. We just make them easy to access.
To promote this motivation, insurance companies should recognize and publicize successful use cases, show people and learn. The key is to find the spearhead – those who have used AI effectively and highlight their achievements. The insurance industry is still in the early stages of AI adoption, and no one knows the full scope of killer use cases. Therefore, it is crucial to allow employees to try the technology rather than over-stipulating it.
Reshape talent strategies through agent AI
The integration of AI has also undermined the traditional apprenticeship career path. As insurance companies develop agents, new capabilities and roles will emerge. For example, future product owners will be involved in generated requirements and user stories, while architects will be able to quickly generate solution architectures and predict the meaning of different scenarios and results. With AI embedded in the workforce, insurers will need to focus on the procurement skills needed to scale AI in market-oriented and company functions. This may involve finding expertise and abilities on your own walls, covering a wide variety of low to high-field expertise roles.
How to capture fading silver knowledge
With the retirement crisis looming in the near future of the industry, how can AI agents drive a great work environment that provides options and better balance in an era of fewer employees? The new generation of insurers can leverage the knowledge and experience of retired experts by extracting decisions and risk assessments from historical data, which is not biased. For example, ping an’s “avatar coach” Transform training with immersive scenarios and customizable avatars, powered by LLM, reduces training fees by 25% and gains a high level of engagement with a high 4.8 NPS. The AI use cases we are increasingly encountering are recording the functionality of traditional systems that are missing or very scarce. We have encountered thousands of codes, and tens of millions of codes have not been recorded due to the age and size of the system. LLMs are very useful here because they can read the code efficiently and tell us what the module does. This will help insurers regain control before Volkswagen employees leave Egypt.
The cultural transition to AI embedded in the workforce is key to success
The new learning cycle is not only a technological change, but also a cultural change. By facilitating a dynamic interaction between employees and artificial intelligence, insurers can create a cycle of good learning, leadership and co-creation. This cycle not only improves employee satisfaction and productivity, but also improves innovation and long-term profitability. The key is to build trust, encourage experimentation, recognize and celebrate successful use cases. With the continuous development of the insurance industry, the integration of AI will become the cornerstone of its future success.
