Research on the use of AI and other disruptive technologies in actuarial work

THE FINANCIAL REPORTING COUNCIL LIMITEDcontractFind a TenderRef ocds-h6vhtk-06540aProcurement Act 2023closed for bids
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Estimated value

£80k

services

Awarded value

Suppliers

0

Lots

1

0 awarded

Published

13 Feb 2026

Deadline 23 Mar 2026

Description

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 purpose of the FRC is to serve the public interest and support UK economic growth by upholding high standards of corporate governance, corporate reporting, audit and actuarial work. The FRC is seeking research on the use of artificial intelligence (AI) in actuarial work. Actuaries are increasingly integrating artificial intelligence (AI) into their workflows. There are several areas where actuaries are becoming more exposed to AI, including: •The use of AI within actuarial models and technical processes •AI models, provided by third parties, acting as a direct input to actuarial models •Changes to the information that is used as inputs to actuarial models. For example: o The underlying environment being modelled by actuaries is undergoing material transformation as organisations adopt AI and other disruptive technologies within their operations o Data is becoming less transparent as data providers are increasingly using AI to generate, process or shape data • AI tools such as large language models (LLMs) playing a growing role in supporting and enhancing actuarial analysis The aims of this project will be to provide updated evidence to enhance the FRC's understanding of: •The technical actuarial work being carried out by actuaries using AI and other disruptive technologies •Actuaries' perception of the risks and limitations they face when using AI and disruptive technologies in their work •How actuaries are considering these risks We are interested predominantly in work being carried out in the in UK, but if any relevant non-UK experience is available we would be happy for that to be included in the research. Scope The research will cover the full range of companies and organisations operating across all major actuarial sectors (Life Insurance, Pensions, General Insurance, Investment) as well as some from wider fields. The aim is to cover all types of actuarial work in all actuarial sectors and sub-sectors. Topics to be covered will include, but will not be limited to: •The extent of AI and other disruptive technologies usage by sector and by activity •Trends in the use of AI and other disruptive technologies •The variety of techniques used •Governance and quality assurance •Perceived risks to the quality of actuarial work and how these are mitigated, including but not limited to: o Explainability o Over-reliance on results o Data privacy o Bias and discrimination • Distribution of expertise of AI and other disruptive technologies across and within teams PLEASE REFER TO THE INVITATION TO TENDER FOR FULL DETAILS. IMPORTANT • Please register your interest by emailing the FRC's procurement team - procurement@frc.org.uk • The FRC will share all tender queries and answers with those that have registered. • Your tender submission must be submitted within the deadline by email to procurement@frc.org.uk

Scope

Reference
FRC2025-168
Total value
£80,000 excluding VAT
£96,000 including VAT
Below the relevant threshold
Commercial tool
Standalone contract
Contract dates
12 Apr 2026 to 04 Dec 2026
Possible extension to 31 Dec 2026

• The right to additional purchases while the contract is valid. • To allow for any pause research activities that may impact the timelines.

Main category
services
CPV classifications
73000000
Contract locations
UK, United Kingdom

Submission & procedure

Enquiry deadline
03 Mar 2026, 12:00 pm
Submission deadline
23 Mar 2026, 12:00 pm
Submission address
By email to procurement@frc.org.uk
Electronic submission
No
Procedure
Below threshold - open competition