HMRC to Use AI from British Tech Firm to Spot Fraud and Tax Return Errors

HMRC to use AI from British – The UK tax authority, HM Revenue and Customs, is set to collaborate with a British tech company for a £175m, 10-year initiative aimed at enhancing its operational efficiency. The partnership with Quantexa, a firm specializing in advanced data analytics, will introduce artificial intelligence systems designed to detect instances of tax fraud and correct inadvertent errors in returns more swiftly. This move is part of a broader strategy to modernize HMRC’s processes and address growing concerns about the accuracy and speed of its services.

Combining Internal and External Data for Enhanced Detection

Quantexa’s technology will integrate HMRC’s own datasets with external sources to analyze patterns and anomalies. This combined approach is expected to help identify complex fraud networks that may involve multiple companies or individuals working in tandem to conceal their activities. The firm’s systems will also assist in resolving issues related to tax filings by flagging inconsistencies or discrepancies that could indicate errors or deliberate misreporting.

One of the key responsibilities of the AI will be to support HMRC’s customer service teams. By automating routine tasks, the technology aims to reduce the time spent on resolving taxpayer queries, allowing staff to focus on more intricate cases. Additionally, Quantexa will help uncover hidden corporate structures, such as shell companies or offshore entities, that might be used to obscure financial transactions and evade taxes.

Public Frustration with HMRC Performance

Recent government data highlights a rise in public dissatisfaction with HMRC’s performance. A Freedom of Information request by campaigners from the Contentious Tax Group revealed that over 93,000 complaints were filed about the tax office in the 2024-2025 fiscal year. This figure represents a significant increase from more than 70,000 complaints recorded in 2020-21, underscoring a growing trend of taxpayer frustration.

Among the primary grievances cited by complainants is the slow response time from HMRC. Many taxpayers have expressed frustration with delays in processing claims or resolving disputes, leading to financial strain and increased administrative burdens. The introduction of AI is seen as a potential solution to these issues, though its effectiveness will depend on how well it can streamline operations without compromising accuracy.

Transparency and Human Oversight in AI Decisions

Quantexa has emphasized that its AI systems will not replace human judgment but will instead serve as a tool to aid decision-making. According to Vishal Marria, the company’s chief executive, automated processes will still require verification by HMRC personnel to ensure transparency and accountability. “In government environments, AI cannot operate as a black box,” Marria explained to the BBC. “Decisions need to be transparent, auditable, and explainable, particularly in areas affecting citizens directly.”

“We never take HMRC data away from the HMRC environment,” Marria added, addressing concerns about data security. The CEO also highlighted that staff working with the government department will remain independent of the company’s other operations, ensuring a clear separation between HMRC’s internal systems and Quantexa’s broader business activities.

These measures are intended to reassure the public that the AI-driven systems will not undermine the integrity of HMRC’s processes. By maintaining human oversight, the technology aims to balance automation with the need for explainability, which is critical in a sector where errors can have significant financial implications for individuals and businesses.

Supporting Legitimate Payments and Addressing Digital Sovereignty

Another benefit of the AI technology is its ability to track down legitimate payments made to HMRC under incorrect reference numbers. This feature will help recover funds that were mistakenly allocated, improving the efficiency of tax collection and reducing financial losses for the government. The UK-based firm, valued at $2.6bn (£1.9bn), has already worked with major corporations such as HSBC and Vodafone, demonstrating its expertise in handling large-scale data integration projects.

The appointment of a British firm aligns with the government’s push for “digital sovereignty”—a concept that emphasizes reducing reliance on foreign technology providers. This initiative comes amid concerns about the UK’s dependence on US-based tech giants, including the £330m contract awarded to Palantir, an AI data processing company, for developing a platform for the National Health Service. Critics argue that such partnerships could expose sensitive data to international risks, making the use of domestic firms a strategic priority.

Broader Implications for Tax Administration

As HMRC prepares to implement this AI solution, the focus is on how it will transform the landscape of tax administration. The technology is expected to improve not only the detection of fraud but also the overall taxpayer experience by reducing bureaucratic delays. However, challenges remain, including the need to train staff in using the new tools and ensuring that the AI’s algorithms are free from biases that could lead to unfair targeting of individuals or businesses.

Marria also mentioned that the AI will be tailored to the specific needs of the tax office, allowing it to adapt to the unique complexities of the UK’s tax system. This customization is crucial, as tax rules can vary significantly across different sectors and jurisdictions. By leveraging Quantexa’s capabilities, HMRC aims to create a more responsive and accurate system that can keep pace with the evolving demands of taxpayers and the challenges posed by increasingly sophisticated fraud schemes.

Despite the optimism surrounding the AI initiative, questions about its long-term impact on HMRC’s operations and public trust will need to be addressed. The success of the technology will hinge on its ability to integrate seamlessly with existing systems, deliver measurable results, and maintain the high standards of data protection that the UK government has pledged to uphold. As the partnership moves forward, it will serve as a case study in how public sector organizations can harness AI to improve service delivery while safeguarding the interests of citizens.

For taxpayers, the transition to AI-powered systems may bring both benefits and uncertainties. While faster processing times and reduced errors are anticipated, there may also be concerns about the automation of decisions that affect their financial obligations. The ongoing collaboration between HMRC and Quantexa will be closely watched, not only for its effectiveness in addressing current challenges but also for its role in shaping the future of tax administration in the UK.

Conclusion

The partnership between HMRC and Quantexa marks a significant step in the UK’s efforts to modernize its tax collection processes. With a £175m investment over a decade, the initiative aims to tackle rising complaints and enhance the efficiency of identifying fraudulent activities. As the technology rolls out, its ability to balance automation with human oversight will be key to its success. This move also reflects a broader strategy to strengthen digital sovereignty, reducing reliance on international tech firms and ensuring that taxpayer data remains secure within the UK’s borders.