AI Transformation in Claims Processing and Insurance Underwriting

一般的看法在群众中,当谈到to insurance companies, is that it is a tedious process with very little room for customer convenience. With minimum innovation strategies, customer experiences are usually of low quality. Outdated and time consuming processes are pervasive in the industry, thereby causing considerable delays in the outcome. With the emergence of artificial intelligence there can be hope for respite.

AI inclaims processing保险业的承销是一种新兴现象，采用了该技术的公司相对较少，但潜力很大。自动化索赔和承保过程的过程是可以为索赔机构和客户提供巨大收益的过程。在这里，我们探讨了保险和索赔行业可以通过AI转型实现哪些业务领导者的概念，以便对AI采用做出明智的执行决定。

What is AI Transformation in Claims Processing and Insurance Underwriting?

在过去的几十年中，提出索赔的过程并没有发生太大变化，多年来已经注意到即兴创作非常最小的即兴创作。Claims and insurance公司并不热衷于利用缓慢但肯定可以提供的技术。它是基于纸张的，高度依赖于特定的员工执行。这个过程不仅使客户和公司提出索赔感到沮丧，而且对员工也很艰巨。

Below is a list of popular AI technologies toward the Claims Processing and Insurance Underwriting Process:

Adoption of Touchless Claims:In the current process, claims go through multiple employees that severely affect the quality of the process. Through AI automation, the process of ‘touchless’ claims does not require any human intervention. This is done through the automated reporting, capturing,auditingand communication.
Chatbots:This is a technology that leverages popular messaging apps on customers’ phones to execute interaction. The technology of natural language processing and sentiment analysis allows for automated and effective communication. This brings in the much desired feature of customized interactions. Through this technology, questions can be answered, claims can be resolved, products can be sold, leads can be addressed, and coverage issues can be identified.
个性化销售技术：的competitive streak of the insurance market can be tackled through innovative technologies that offer personalized sales tactics. AI has the potential to rope in customer data and create a profile that targets the customer’s preferences with relevant insurance products. This cuts down on the traditional underwriting process, which is tedious and fairly ineffective. Not only can it offer customers the benefit of a personalized insurance plan, but the automation feature can alert insurance companies on risky customers without the need for invasive questioning.
远程信息处理：这是一种无线通信的形式，它通过确定数据中的GPS模式以自动方式向保险公司提供数据。该技术能够跟踪交通状况，风险因素等，最终导致更少的claims processingand higher customer satisfaction.

How important is AI Transformation in Claims Processing and Insurance Underwriting?

The索赔处理和保险工业有望从利用创新AI技术的好处中受益匪浅。通过机器学习有意义地生成和应用数据的能力具有巨大的范围，以改善保险，并要求公司底线和整体利润。现代客户要求现代技术能够看到好处和AIis the answer that promises to fulfill the evolving demands of customers and the needs of the insurance and claims companies.

75% of customers surveyed displayed their willingness to receive electronically generated customized insurance advice
82％insurancecompany employees surveyed believe AI has the ability to transform the information acquiring process from customers
53% of insurance company employees surveyed believe that the biggest advantage is to receive improved insights into the needs of the customer

To be able to fully comprehend the advantages of AI, it would be prudent to witness the benefit of companies that have automated their claims processes and insurance underwriting process. It will be manifest that they have evidently reduced their processing time and increased their overall quality of service. More importantly, the costliest aspect of the claims processing industry can be, i.e. fraudulent claims, can be automated and patterns can be identified that flag areas, which generally go unnoticed by the human eye.

What Criticism has AI Received in the Claims and Insurance Industry?

毫无疑问，隐藏在采用的潜力中的许多优势AI in the Claims and Insurancesector. Nonetheless, many view this disruptive technology as more of a hazard than a boon. Listed below are some concerns toward the adoption of AI:

由于该技术的性质以及它仍处于该特定行业的新生阶段，因此访问优质数据，开发智能分析，模式识别，算法培训等的模型涉及高昂的成本。
该软件的初步性质具有许多索赔和保险机构的第二次猜测利用该技术的优势。
由于安全原因，许多系统都远离互联网，使信息共享和数据的访问不可能。由于不容易访问电子信息的全部目的。
Many medical practitioners are wary about these technologies since they view them as a replacement to human jobs.

In January 2016, the World Economic Forum announced the publication of a report, “The Future of Jobs,” with conclusions based on a 2015 survey of chief human resource officers, chief strategy officers and other senior talent and strategy executives from 350 of the world’s largest companies in 15 countries.

The report found:

The rise of robots andAIwill result in a net loss of 5.1 million jobs over the next five years in 15 leading countries.”
As many as 7.1 million jobs could be lost through redundancy, automation or disintermediation over the next five years, with the greatest losses in white-collar office and administrative roles.
The loss may be partially offset by the creation of 2.1 million new jobs in more specialized “job families,” such as “computer and mathematical” or “architecture and engineering.”
Healthcare is expected to experience the greatest negative impact in terms of jobs in the next five years, followed jointly by energy and financial services and investors.

What are the Practical Steps toward Adopting AI in Claims and Insurance Companies?

Step 1:The first step in the process is for the agency to understand the needs and the benefits and capabilities of AI. This will the company to comprehend and evaluate the relevance of AI toward those specific needs.

Step 2:Once the technology has been understood and shortlisted, the next step is to identify the gaps of within the current system. An analysis of the areas that need to be addressed will keep the focus on the problems thatAIis intended to solve. The value of AI should be clearly visualized with respect to the specific needs of the company.

Step 3:Next in line is to align the business priorities with the cost involved and conduct and determine the value of adopting AI toward the company’s bottom line. Every investment should be directly tied to the business value it brings to the agency.

Step 4:Provide the employees with an opportunity to familiarize them with the available technology and participate in offering suggestions towards AI-adoption. Very often, they can point out to hindrances and advantages through knowledge acquired from everyday workings. Also, their positivity toward AI transformation is critical to the success of the adoption.

Step 5:一旦建立了基础工作，就该确定提供特定解决方案并建立试点项目的开发人员了。为试点项目建立明确的时间表，并随后的执行对成功至关重要。

Step 6:分配一小组人团队，他们会定期教育员工和客户有关正在合并的系统以及他们所提供的优势。这将逃避组织的消极情绪。

步骤7：Take gradual steps towardAI transformation而不是一场完整的革命。这将帮助员工和员工逐渐采用并熟悉不断变化的系统。对于组织而言，突然的急剧转变似乎令人难以置信。

步骤8：Storage, whether it is of patient data or intelligent algorithms, is an important component of AI adoption. Every organization that is looking to make the move towards AI needs to make ample arrangements for storage requirements.

Step 9:Conduct periodic reviews with the developers that involve a display of the work in progress and the technologies already adopted. These reviews ensure that the AI being deployed is in line with the original agreement and providing the value that was originally envisioned.

Step 10:Maintain the balance between the developingAI系统and the capabilities of the technology. This will eliminate the risk of disappointments, wherein the agency later discovers that the technology is not living up to what it was intended for.

How is an AI Transformation of Legacy Systems Undertaken?

Whether it’s a claims company or an insurance company looking to improvise their underwriting process, everyone needs to evaluate the need of their specific organization, in relation to its legacy system. Does it require a migration, modernization or a transformation? Here is the difference between each of these:

Migration:This is one of the simplest moves that an organization can make to their legacy system. It essentially involves moving the system from one platform to another that is considered more effective. The functionality and design of the system remains the same, but the speed, cost, etc. is of higher quality.

现代化：This is a slightly larger change, wherein migration and involves a change in the architecture of the system, which enhances its capabilities and functions. This generally can be done without moving the legacy system to a different platform and the capabilities are modernized and upgraded on the current platform.

转型：This is a process that involves both migration and modernization.AI transformationinvolves a complete revamp of the legacy system, which offers a plethora of functions and automated systems that were previously non-existent. The entire workings of the organization are brought to a superior level of functioning.

Conclusion:

通过机器学习等，在AI世界中取得的进步为索赔和保险业带来了许多可能性。定价的长期存在，要求处理和欺诈识别have already been successfully addressed. Large amount of data have been manageable through leveraging innovative technology that has automated most of theinsurance process，包括快速跟踪主张，减少整体处理时间，增强客户体验和降低成本等功能。此外，智能算法还通过自学，模式识别和标记能力大大降低了欺诈性主张。这仅仅是个开始。