Acuity: Transforming insurance management and understanding for consumers

在金融服务中，保险业的消费者信任度最低，30%的消费者表示不信任（FCA, 2020）。不信任主要是由误导性的条款和条件（53%）和不明确的内容（34%；FCA, 2020）造成的。事实上，英国的一项研究发现，消费者必须接受至少a -level的教育，但在大多数情况下，毕业生甚至研究生水平，才能有意义地了解他们的保险单（BrowneJacobson, 2018）。因此，在选择汽车或家庭保险时，大多数消费者（76%以上）选择基于价格而不是功能的政策（FCA, 2020）。保单之间的特征差异很难识别和评估，但这对确保获得正确的保险至关重要。例如，如果用户错过了回家的航班，他们的旅行保险是否包括下一个航班之前的住宿？消费者忘记保单续保日期，甚至忘记保险公司的情况也很常见。Rnwl于2019年在剑桥成立，其使命是让消费者更容易管理他们的保险政策，以最优惠的价格找到最好的保险范围，避免每年花费数小时重新谈判和续签。从汽车保险开始，我们构建了一个消费者应用程序（可在苹果和Android上下载）。我们的应用程序跟踪用户的汽车保险，MOT，税收和故障保险的更新日期，以及记录重要的政策细节，如提供商，政策号码和联系方式，这些在发生事故时可能迫切需要。当涉及到续保时，我们会在最合适的时间为用户提供购买新保单的报价。在Innovate UK的支持下，我们开发了一个分析引擎，它使用自然语言处理（NLP）和机器学习（ML）算法来大规模提取关键保单特征，并利用这些数据帮助消费者管理他们的汽车保险单。在这里，我们将扩展我们尖端的NLP和ML算法，以提高用户的可读性和理解力。我们的技术将有效地将所需的保险单阅读年龄从研究生水平降低到12-13岁的水平，即从科学期刊的水平降低到BBC网站的水平（BrowneJacobson, 2018）。通过开发一种大规模适用于消费者的解决方案，跨越多个保险提供商的非标准化保险单，我们将颠覆保险业，并确保英国消费者获得最大价值和安心。

The insurance sector has the lowest levels of consumer trust among financial services, with 30% of consumers reporting mistrust (FCA, 2020). Mistrust is driven primarily by misleading terms and conditions (53%) and unclear content (34%; FCA, 2020). Indeed, a UK study found that consumers must be educated to at least A-level, but in the majority of cases graduate or even postgraduate level, in order to meaningfully understand their insurance policies (BrowneJacobson, 2018). Consequently, when choosing either motor or home insurance, most consumers (76%+) select a policy based on price rather than features (FCA, 2020). Feature differences between policies are difficult to identify and assess, yet vital to ensuring the right cover is in place. For example, if a user misses a flight home, does their travel insurance cover accommodation until the next flight? It is also commonplace for consumers to forget their policy renewal date and even their insurance provider.Founded in Cambridge in 2019, Rnwl's mission is to make it easier for consumers to manage their insurance policies, find the best possible coverage for the best price, and avoid spending hours renegotiating and renewing every year. Starting with motor insurance, we have built a consumer app (available to download on Apple and Android). Our app keeps track of the renewal dates of a user's car insurance, MOT, tax, and breakdown cover, as well as recording vital policy details such as provider, policy number, and contact details, which could be needed urgently in the event of an accident. When it comes to insurance renewal, we provide the user with quotes at the optimum time to purchase a new policy.With support from Innovate UK, we have developed an analytical engine that uses natural language processing (NLP) and machine learning (ML) algorithms to extract key policy features at scale, using this data to help consumers manage their motor insurance policies. Here, we will extend our cutting-edge NLP and ML algorithms to improve user readability and comprehension. Our technology will effectively reduce the required insurance policy reading age from up to postgraduate level to that of a 12-13 year old i.e. from the level of a scientific journal to the level of the BBC website (BrowneJacobson, 2018). By developing a solution that works for consumers at scale, spanning unstandardised insurance policies from multiple insurance providers, we will disrupt the insurance industry, and ensure maximum value and peace of mind for UK consumers.