An innovative Lawtech AI/ML platform with human oversight that manages off-payroll worker status and periodically assesses the role status to ensure accuracy.

具有人工监督功能的创新 Lawtech AI/ML 平台，可管理工资外员工的状态并定期评估角色状态以确保准确性。

• 批准号: 10099483
• 金额: $ 44.35万
• 依托单位: COCOMPLY LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10099483
• 关键词: innovative; Lawtech; AI; ML; platform

CoComply is a UK-based worker classification SME with a core project team of Michael Cleavely (Serial Entrepreneur/CEO/Solution Lead), Joe Johnson (CILEX expert in worker status) and Mike Turner (Lead Engineer AI/ML Developer).Ensuring compliance with worker classification is a challenging and worldwide concern for both businesses and governments. Incorrect classification can lead to various negative outcomes, such as revenue loss, damage to reputation, liabilities and harm to the freelance and entrepreneurial economies. In 2017 and 2021, the UK government introduced Chapter 10 IR35 legislation, which transfers the responsibility of determining contractors' tax status to the end client. Penalties for non-compliance have exceeded £300M in the public sector, with private sector enforcement still ongoing.To address this challenge, CoComply is developing an AI/ML platform with human oversight that manages off-payroll worker status and periodically assesses the role status to ensure accuracy.CoComply meets the growing demand for a comprehensive worker classification system that provides unbiased assessments and ongoing compliance management. This technology-agnostic solution is significantly more affordable than traditional law firms or consultancies. CoComply's solution determines worker classification quickly and accurately. The solution boasts a cost efficiency of over 81% compared to its market competitors, including ongoing checks to ensure accuracy. By using CoComply, an organisation with 100 contractors and a 22% undetermined status via CEST could save up to £1.6M annually and significantly more considering time efficiency, risk avoidance other nuances and metrics.

CoComply是一家总部位于英国的员工分类SME，其核心项目团队包括Michael Cleavely（连续企业家/首席执行官/解决方案负责人），Joe约翰逊（CILEX员工身份专家）和Mike Turner（首席工程师AI/ML开发人员）。确保员工分类合规对企业和政府来说都是一个具有挑战性的全球性问题。不正确的分类可能导致各种负面后果，如收入损失、声誉受损、责任以及对自由职业者和创业经济的伤害。于二零一七年及二零二一年，英国政府引入第10章IR 35法例，将厘定承包商税务状况的责任转移至最终客户。公共部门的违规处罚已超过3亿英镑，私营部门的执法仍在进行中。为了应对这一挑战，CoComply正在开发一个人工智能/机器学习平台，该平台具有人工监督功能，可管理非工资工人状态，并定期评估角色状态以确保准确性。CoComply满足对全面工人分类系统日益增长的需求，该系统可提供公正的评估和持续的合规管理。这种与技术无关的解决方案比传统的律师事务所或咨询公司更实惠。CoComply的解决方案快速准确地确定工人分类。与市场竞争对手相比，该解决方案的成本效率超过81%，包括持续检查以确保准确性。通过使用CoComply，一个拥有100个承包商和22%通过CEST未确定状态的组织每年可以节省高达160万英镑，并且考虑到时间效率，风险规避和其他细微差别和指标。