Conversational Artifical Intelligence - a unique real-time voice analytics technology providing highly accurate behavioural determinations - scalably enabling the identification of fraud in insurance claims

“2017年的最新数据表明，行动欺诈记录的欺诈数量是有史以来最高的，达到272,980起犯罪(每周5,250起)，保险欺诈总价值为3B GB/年。自2015年以来，不诚实责任索赔(“滑倒和绊倒”)增加了36%，索赔金额增加了14%(3.91亿GB)，但最大的受害者是汽车保险，2017年发现了8万件索赔(GB 1B)。这导致保险费和保险公司支付合法索赔前的审查时间增加(对诚实的客户进行更严格的审查)。在保险联络中心(第一联络点)，目前识别夸大索赔信息的解决方案有限。统计模型识别具有较高欺诈性的索赔类型；语音压力测试识别音调和音调的变化。这些测试并不提供明确的输出(只表示“可能性”)，而且很容易受到谈话内容/第一语言/心理健康/听力障碍的影响。目前没有一种解决方案可以测量语言变化，这是此类欺诈的主要识别参数。Conversational AI(CAI)正在开发一种全新的创新模型，将保险欺诈/行为分析/侦探工作/机器学习/语言处理的独特团队专业知识结合到近乎实时的“可信度”分数，以识别欺诈性保险索赔。该公司计划将他们的软件作为一项附加服务提供给现有的通话记录平台，从而提供：自动筛选每个通话/将调查效率提高60倍/数据透明度/增强客户结果/保护易受攻击的客户/确保法规遵从性/改进反欺诈措施。CAI处于有利地位，可以利用这一机会，他们已经建立了基本的线性算法，能够检测人类行为中的50个细微差别，以理解情景情感，成功地使用手动转录的通话数据识别欺骗。作为一家新的合资企业，将智能语音公司现有的和经过验证的语言处理能力与Strenuus的行为分析专业知识相结合，计算机辅助语音系统将开发一种软件系统，能够使用GPU驱动的自动语音识别记录来识别人类交互。语音生物识别软件提供商已经表达了兴趣，他们提供开放访问他们的API以获取数据，联系中心已经确认他们愿意试验该解决方案。在Innovate UK的支持下，需要一个为期12个月的研发计划，以在封闭的现场环境中提供经过验证的系统，在基于代理和呼叫者交互的呼叫者可信度评估中识别关键市场。蔡崇信有可能颠覆语音、生物识别和反欺诈市场，具有全球开发潜力。该项目将为CAI带来出口带动的增长，大幅提高投资回报率(12700%)，增加就业(增加25个工作岗位)，并提供更多的研发机会。“

"Latest figures for 2017 indicate the volume of frauds recorded by Action Fraud is the highest it has ever been at 272,980 offences(5,250/week), insurance fraud totals a value of £3B/yr. Dishonest liability claims (""slip and trip"") rose 36%/yr since 2015 with claims value up 14% (£391M), however the biggest victim is car insurance, with 80,000 claims detected 2017(£1B). These resulted in increases of insurance premiums and time/review before insurers pay legitimate claims (increased scrutiny of honest customers).At insurance contact centres (first contact point), there are limited current solutions to identify exaggerated claims information. Statistical models identify claim types that have higher probability of being fraudulent; voice stress tests identify changes in pitch&tone. These don't provide a defined output (only indicate 'likelihood') and are easily influenced by line of conversation/first languages/mental health/hearing difficulties. No current solution can measure linguistical changes, which is the primary identification parameter for this type of fraud.Conversational AI (CAI) is developing an entirely innovative model combining the unique team expertise of insurance fraud/behavioural analytics/detective work/machine learning/language processing to a near real-time call ""credibility"" score to identify fraudulent insurance claims. The company plans to provide their software as an add-on service to existing call recording platforms thereby offering: automated screening of every call increasing investigation efficiency by a factor of 60/data transparency/enhanced customer outcomes/safeguarding vulnerable customers/ensuring regulatory compliance/improving anti-fraud measures.CAI are well placed to exploit this opportunity, having already established basic linear algorithms with the ability to detect 50 nuances in human behaviour to understand contextualise emotion, successfully identifying deception using manually transcribed call data. As a new joint venture combining Intelligent Voice's existing and proven language processing capability with Strenuus' behavioural analysis expertise, CAI will develop a software system capable of identifying human interaction using GPU powered automatic speech recognition transcripts. Interest has already been expressed from voice biometric software providers offering open access to their API for data acquisition, and contact centres who have confirmed their willingness to trial the solution.With support from Innovate UK a 12-month programme of R&D is required to deliver a validated system in a closed live environment, identifying crucial markets in caller credibility assessment based on-agent and caller interaction. CAI has the potential to disrupt the voice biometric and anti-fraud markets with global exploitation potential. The project will deliver export led growth for CAI, a substantial ROI (12700%), increased employment(25 additional jobs) and further R&D opportunities."