Automated voice AI bot supporting engagement of vulnerable citizens in Digital Health, data collection and emergency response.

我们的解决方案旨在使用类似于亚马逊Echo或其他虚拟助手的人工智能语音技术，完全自动化从人们（或民意调查）收集数据的过程。通过将这些服务连接到电话接口，我们能够以高速和多次的方式主动呼叫多个（数百或数千）号码，潜在地将数据收集时间从几天和几周减少到几分钟或几小时。机器人强大的自然语言处理能力将收集到的数据转化为结构化数据集，可以快速导出并由组织进行分析，以确定快速的行动方案。数据可能直接链接到应用程序或由更大的数据库使用。目的：通过电话与公众进行大规模沟通，提供信息，提出多个问题，并以易于消费的方式接收一组记录的回答。*快速联系一组客户/组织。*可配置（通过用户界面添加您的问题）*易于启动（简单快捷的方法上传常规目标电话号码集）*易于访问结果（简单输出呼叫状态和问题回答）*本地化（英国语音）*按需（当您需要它作为基于云的服务时可用）*成本效益（按数量定价）*安全（在英国持有的数据）*支持（由英国组织支持，安全清除人员）*选项1。可配置呼叫后发送的信息链接短信文本。将电话转接到语音信箱，以便获取更多详细信息。将该解决方案与基于云的软电话相结合，将优先级呼叫直接转接到座席（例如999）或转接到组织的传统呼叫中心队列。在正常情况下，人们可以使用呼叫中心或基于网络的自助服务解决方案来完成类似的任务，或者像在COVID-19应对中看到的那样，招募一群志愿者。然而，最近的大流行病使许多呼叫中心无法运作，因为各组织被迫离开办公场所。志愿者组织已经填补了这一缺口，但它们面临着类似的后勤挑战，而且在紧迫的时间限制下难以拨打足够的电话，这使得进展缓慢。许多弱势群体和老年人无法访问互联网，或者超出了“数字鸿沟”，许多人直到为时已晚才相信自己是弱势群体。我们认为，这一制度对卫生部门和更广泛的公共部门的广泛领域大有裨益，无论是从处理眼前大流行的角度来看，还是从如何适应与改变后的、灵活的、以家庭为基础的工作队伍合作的新方式来看。我们的拨号器产品在市场营销和beta测试方面都需要付出巨大的努力。这笔额外的拨款将直接使我们能够在这两个流程中执行所需的活动。我们会招募一些机构，并在一段有限的时间内为他们提供服务，让他们进行真实的测试，以及吸引一批早期使用者。

Our solution will aim to completely automate the process of gathering data from people (or polling people) using AI enabled voice technology similar to what powers Amazon Echo or other virtual assistants. By connecting these services to telephony interfaces, we are able to proactively call multiple (hundreds or thousands) of numbers at speed, and multiple times, potentially reducing data gathering timescales from days and weeks to minutes or hours. The bot's powerful natural language processing capability will turn gathered data into a structured dataset that can quickly be exported and analysed by an organisation to identify a swift course of action. The data could potentially be directly linked to an application or consumed by a larger database.Objectives:Mass communicate by phone with members of the public, provide a message, ask multiple questions and receive a set of responses recorded in an easily consumable way. Use at times of crisis to:* Contact a set of customers/ organisations at speed.* Configurable (Add your questions via a user interface)* Easy to start (Simple and fast approach to uploading regular sets of target phone numbers)* Easy to access results (Simply output of calls status and question responses)* Localised (UK voice)* On-demand (available when you need it as a cloud based service)* Cost effective (priced per use based on volume)* Secure (data held in the UK)* Support (Supported by UK organisation, with Security Cleared personnel)* Options1. Configurable SMS text of informational links to be sent after a call2. Forward a call to a Voicemail to capture more details information3. Conjoin the solution with a cloud based soft-phone to forward priority calls directly to an agent (for example 999) or forward calls into an organisation's traditional call centre queue.In normal times one may use a call centre or a web based self service solution to do a similar task or as seen in the COVID-19 response recruit a bank of volunteers. However the recent pandemic rendered many call centres inoperable as organisations were forced to exit premises. Volunteer organisations have stepped into the breach but were faced with similar logistical challenges and struggled to generate the sheer volume of calls needed in tight time constraints making progress slow. Many of the vulnerable and elderly population do not have access to the internet or are beyond the "Digital Divide" and many don't believe they are vulnerable until it's too late.We feel this system is of great benefit to wide areas of the health sector and wider Public Sector both from the perspective of handling the immediate pandemic but also with regards to how to adjust to new ways of working with an altered, flexible and home based workforce. Our dialler product needs significant effort in both marketing and beta testing. This additional grant will directly enable us to perform the required activities across both of these streams. We will recruit and provide the services for a number of organisations for a limited period of time to perform a through real life test, as well as attract a cohort of early adopters.