Active Economics & Business Education & Skills

The University of Essex and Cooper Parry Advisory Limited KTP 24_25 R5

In plain English

AI plain-English summary

A software system will take over the task of tagging corporate tax returns and running financial analysis, using robotic process automation and large language models to prepare submissions for HMRC. Currently, accountants and tax professionals must manually tag and analyse each line of a corporation tax return, a time-consuming process prone to human error. This project aims to automate that entire workflow from end to end, combining robotic process automation with cutting-edge AI techniques to handle the tagging, analysis, and formatting of client data ready for submission. If successful, the system could dramatically reduce the hours accountants spend on routine compliance work, cutting costs for firms and potentially speeding up tax submissions to HMRC. For businesses, this means fewer delays and lower fees for tax preparation. The underlying automation techniques could also be adapted for other areas of financial reporting and regulatory compliance, quietly improving the efficiency of back-office systems that keep the economy running.

View original technical description
To create an end-to-end automation of the corporation tax tagging process and in depth financial analysis of client tax returns ready for submission to HMRC, utilising robotic process automation, large language models and cutting edge artificial intelligence and automation techniques .

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Original classification

Knowledge Transfer Partnership

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