---
title: "Research Services - Benchmarking the Value of XBRL and structured data in an AI-Driven Reporting Environment"
ocid: "ocds-h6vhtk-06c503"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-06c503"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-06c503.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-06c503.json"
source: "Find A Tender Service"
current_stage: "Tender"
buyer: "THE FINANCIAL REPORTING COUNCIL LIMITED"
published: "2026-07-07"
---

# Research Services - Benchmarking the Value of XBRL and structured data in an AI-Driven Reporting Environment

Buyer: THE FINANCIAL REPORTING COUNCIL LIMITED  
Current stage: Tender  
OCID: ocds-h6vhtk-06c503

[View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-h6vhtk-06c503)  
[Download OCDS JSON](https://d3tenders.com/contract/ocds-h6vhtk-06c503.json)

## Summary

The Financial Reporting Council Limited (FRC), a public authority within the central government of the United Kingdom, is currently in the tender stage for a project titled "Research Services - Benchmarking the Value of XBRL and Structured Data in an AI-Driven Reporting Environment." This project falls under the industry category of Research and Development Services and is open for businesses in various UK regions, including UKC, UKD, UKE, UKF, UKG, UKH, UKI, UKJ, and UKK. The procurement process is open and below the threshold for open competition, with a tender submission deadline of 31st July 2026. The study aims to evaluate the performance of AI models using structured data like XBRL against traditional formats such as PDF and HTML, further aligning with the FRC's digital reporting agenda. The contract period is set to begin on 17th August 2026 and conclude by 30th November 2026, with provisions for renewal and additional options.

This tender presents a significant opportunity for businesses specialising in research services, particularly those with expertise in AI, data analytics, and digital reporting technologies. Small and medium-sized enterprises (SMEs) are encouraged to participate, as the contract is suitable for them and includes comprehensive research responsibilities like proposing a robust study design, utilising appropriate AI models, and delivering evidence-based conclusions. By engaging with this project, businesses can enhance their credentials in cutting-edge reporting technologies and contribute to shaping the future landscape of digital reporting frameworks. The project's budget of £70,000 presents a worthwhile opportunity for qualified research entities to showcase their capabilities and influence advancements in the field of corporate reporting.

## Notice

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 qualified external research provider to design and deliver a benchmarking study comparing AI model performance across equivalent corporate reporting disclosures presented in XBRL, PDF and HTML formats. The benchmarking should include determining which format is the most effective relating to: * Numerical information, * Accounting standard-related information, * Narrative information, and * Consistency and overall quality of information. The external provider will be expected to propose a robust research design, identify and justify suitable AI models and testing methods, and produce clear, evidence-based findings. PLEASE SEE INVITATION TO TENDER FOR FULL DETAILS.

### Lot Information

Lot 1

Options: The FRC reserves the right to procure further Services of the same / related nature.

Renewal: The supplier should deliver the Services (as per the Invitation to Tender (ITT) by the end of November 2026). Should the FRC amend/alter the requirement the timeline may change.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/063574-2026 |
| Notice type | UK4 - Tender Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Below threshold - open competition |
| Tender suitability | SME |
| Awardee scale | Not specified |
| All stages | Tender |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 7 Jul 2026 |
| Submission deadline | 31 Jul 2026 |
| Future notice date | Not specified |
| Award date | Not specified |
| Contract period | 16 Aug 2026 - 30 Nov 2026 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £70,000 |
| Lots value | £70,000 |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Active |
| Lots status | Active |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | THE FINANCIAL REPORTING COUNCIL LIMITED |
| Locality | LONDON |
| Post town | East London |
| Postcode | E14 9GE |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI4 Inner London - East |
| ITL 3 | TLI42 Tower Hamlets |
| Local authority | Tower Hamlets |
| Electoral ward | Blackwall & Cubitt Town |
| Westminster constituency | Poplar and Limehouse |
| Delivery location | TLC North East (England), TLD North West (England), TLE Yorkshire and The Humber, TLF East Midlands (England), TLG West Midlands (England), TLH East (England), TLI London, TLJ South East (England), TLK South West (England) |

## CPV Codes

### Divisions

- 73 - Research and development services and related consultancy services

### Codes

- 73000000 - Research and development services and related consultancy services

## Release History

- 7 Jul 2026 at 10:47 - Tender - UK4 - Tender Notice - https://www.find-tender.service.gov.uk/Notice/063574-2026

## Documents

- https://www.find-tender.service.gov.uk/Notice/063574-2026
  7th July 2026 - Tender notice on Find a Tender
- https://www.find-tender.service.gov.uk/Notice/Attachment/A-18847
- https://www.find-tender.service.gov.uk/Notice/Attachment/A-18848

## Notice URLs

- https://www.frc.org.uk/
- https://www.legislation.gov.uk/ukpga/2023/54/contents

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-06c503. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-06c503.json.
