Tax on Demand - Empowering Accountants to Better Advise SMEs Using Machine Learning and Intelligent Automation.
Tax on Demand - Empowering Accountants to Better Advise SMEs Using Machine Learning and Intelligent Automation.
批准号:
10056943
负责人:
金额:
$31.03万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
在英国,大约99%的私营企业是中小企业,他们依靠专业服务公司提供金融、保险和法律的服务--这些专业通常超出他们的正常专业领域--来支持他们的长期可持续发展和增长。会计师通常是中小企业最容易获得的专业服务(58%的企业认为他们的会计师是他们最值得信赖的顾问),税务是最受欢迎的建议领域之一。然而,英国税法的数量和复杂性是压倒性的-107个税务领域的1,141个减免。事实上,这些救济中只有很小一部分与中小企业相关--例如1%。问题是,找出“哪1%是相关的”是一个人工密集和耗时的过程(通常是2天的任务),这总是意味着会计师专注于“明显”的建议领域,或者更糟的是根本不审查客户。这导致风险和机会被错过,中小企业得不到有价值的税务建议。作为Tax on Demand(“ToD”)的交易,On Demand Technology Limited开发了基于人工智能的技术,能够以透明和负责任的方式自动化手动密集和耗时的客户审查流程,以闪电般的速度找到“相关的1%”-将2天的任务减少到几秒钟。帮助会计师识别风险/机会,并为客户提供更多获得更广泛服务的机会-最终为中小企业提供更好的财务结果。
英文摘要
Approximately 99% of the private sector businesses in the UK are SMEs, who rely on professional service firms for finance, insurance and legal services - specialisms usually outside their normal areas of expertise - to support their long-term sustainability and growth. Accountants are often the most accessed professional service for SMEs (58% of businesses identify their accountant as their most trusted advisor) and tax is one of the most sought-after areas of advice.However, the sheer volume and complexity of the UK tax code is overwhelming - 1,141 reliefs across 107 individual areas of tax. In reality, only a very small proportion of these reliefs are relevant to an SME -- say, 1%. The problem is that finding 'which 1% is relevant' is a manually intensive and time-consuming process (typically a 2-day task) which invariably means accountants focus on 'obvious' areas of advice, or worse don't review the client at all. This results in risks and opportunities being missed and SMEs not getting valuable tax advice.**On Demand Technology Limited, trading as Tax on Demand ("ToD") have developed AI-based technology capable of automating the manually intensive and time-consuming client review process in a transparent and accountable manner to find the 'relevant 1%' at lightning speed - reducing a 2-day task to just a few seconds.** Helping accountants to identify risks/opportunities and provide clients with increased access to a wider range of services - ultimately delivering a better financial outcome for the SME.
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国内基金
海外基金
EstimatingLarge Demand Systems with MachineLearning Techniques
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批准号:--
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项目类别:外国学者研究基金
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资助金额:--
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批准年份:2024
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负责人:IoshuaAlex
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依托单位:
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批准号:82301140
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项目类别:青年科学基金项目
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资助金额:30万元
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批准年份:2023
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负责人:程馨霆
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依托单位: