Procurement Summary
Country: United Kingdom
Summary: Research Services - Benchmarking the Value of Xbrl and Structured Data in an Ai-Driven Reporting Environment
Deadline: 31 Jul 2026
Posting Date: 09 Jul 2026
Other Information
Notice Type: Tender
TOT Ref.No.: 144795484
Document Ref. No.: FRC2026-063
Competition: ICB
Financier: Self Financed
Purchaser Ownership: Public
Tender Value: Refer Document
CPV Classification
73000000 - Research and development services and related consultancy services
Purchaser's Detail
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Login to see detailsTender Details
The Financial Reporting Council (FRC) regulates auditors, accountants and actuaries and sets the UK's Corporate Governance and Stewardship Codes. As the Competent Authority for audit in the UK, we set auditing and ethical standards and monitor and enforce audit quality. The FRC is seeking to strengthen its understanding of how structured data performs in an AI-driven reporting environment. This aligns with the FRC's wider technology and digital reporting agenda, including work to understand the opportunities and risks arising from AI and to support high-quality digital reporting. The FRC is seeking to commission research services to benchmark the value of XBRL in an AI-driven reporting environment. The study will assess how structured data, including XBRL, performs in comparison with equivalent disclosures presented in PDF and HTML formats. The research should use clearly evidenced measures, including accuracy, completeness, consistency and explainability, to compare how AI models interpret, extract and reason from disclosures in different formats. The findings will support the FRC's work on digital reporting, structured data quality and the usability of corporate reporting information by preparers, users, regulators and technology providers. This evidence gap is central to the proposed study. The FRC requires robust comparative evidence on AI performance across equivalent disclosures presented in XBRL, PDF and HTML formats. The FRC requires the appointment of a suitably qua...
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