TPR reinforces expectations on the use of AI in pension schemes
November 04, 2026
TPR reinforces expectations on the use of AI in pension schemesNovember 04, 2026 Many trustees have been reviewing the use of AI by, and on behalf of, their scheme and the governance that sits around this, following publication of the Pension Regulator’s AI plan in May this year. The Regulator has now published new guidance on the use of artificial intelligence (AI) in pension schemes. It is not intended to establish new and separate regulatory requirements. Instead it builds on the Regulator’s AI plan and explains how trustees’ existing duties apply to the use of AI. It’s intended to help trustees ask the right questions, oversee the use of AI and manage the risks effectively and in a practical and proportionate way. So, what does this mean for pension scheme trustees? What are the key principles?The guidance outlines seven key principles which should guide trustees’ approach:
What role and accountability do trustees have?The use of AI does not change trustees’ existing duties. The guidance makes clear that trustees remain responsible for making sure their scheme is governed and administered effectively and in line with legal and regulatory requirements, regardless of which technologies are being used or whether scheme processes are outsourced or managed internally. Where AI is being used by service providers and advisers, trustees should obtain assurance that it is appropriately governed and controlled.  The guidance lists ten questions the Regulator expects trustees to be able to answer for any significant use of AI, whether internally or by service providers. These include:
Trustees do not need to become AI experts. However, they should be in a position to understand what they are told, identify risks, challenge where needed, and know when to take external advice. This may require specific training or advisory support on AI.  A proportionate, risk-based approachIn line with the Regulator’s AI plan, trustees are expected to establish clear governance and accountability for any significant AI use. They should consider both the likelihood of harm and the impact on members if the system fails.  Helpfully, the guidance makes clear that the level of oversight should be proportionate to the risk. For example, a narrowly-focused administrative tool may need lighter controls than a system that interacts with members or is integral to trustee decision-making. Predictive, generative and more independent AI tools may also raise different risks. Governance tools could include:
Some of these might be AI-specific, while others could be built into existing governance arrangements. Trustees should also have arrangements to identify when AI may have contributed to an error or caused member harm, with processes to escalate and address issues quickly. Managing service providersTrustees should request information from service providers and advisers about AI use (including AI-enabled features within existing software) and assess its significance. They should seek assurances about the provider’s governance arrangements and how risks are managed. This should happen both before entering into an agreement and on an ongoing basis, including when there are changes. The level of oversight and the information and assurance that is sought (and how quickly) should reflect the risks and potential impact of the AI use, as well as the size, nature and complexity of the scheme. Relevant considerations may include (among other things):
Ultimately, the Regulator expects trustees to use their judgment to decide what assurance is appropriate and whether further information or action is needed. It also expects trustees to consider how this should be reflected in their contracts with service providers. Decision-making and membersAI should support, rather than replace, trustee judgement, professional advice and meaningful challenge, and trustees should be alert to the risk that AI outputs may appear authoritative even when they are incomplete or inaccurate. Where AI has significant influence on a decision, trustees should be able to explain the tool used and its purpose, the information and any assumptions the output was based on, the human checks made, the reasons for accepting or departing from the output, and who made the decision. This includes AI used by advisers and other service providers. There is no general requirement to tell members about every use of AI, although particular legal requirements may require disclosure in some circumstances. Data, resilience and cyber securityUsing AI can increase the impact of poor-quality data. Before using AI, trustees should consider the data protection implications and policies should limit the data entered into approved AI tools to the minimum necessary. Trustees should also be alert to staff or advisers using public AI tools outside approved processes. AI risks should feed into business continuity and exit planning, and trustees should check that existing cyber and scam controls (for example, how bank-detail changes and transfer requests are verified) remain effective against AI-enabled fraud and cyber-attacks. Trustees also need to understand how AI impacts their digital resilience and consider ‘war game’ type testing to help them to better understand the steps needed to ensure their scheme is managing AI-related cyber risks appropriately (including the speed at which mitigating actions need to be taken, which may be far faster than current processes envisage). What should trustees do now?Trustees who have not yet mapped their scheme’s use of AI and put in place suitable governance arrangements should do so now. A good starting point is for trustees to take steps to:
Trustees should then:
Trustees need to build reviewing AI-related risks into their scheme’s risk management cycle, so that they can harness the opportunities this creates while continuing to manage the risks effectively. They should also explore with their investment advisers how AI might impact scheme investments (as the Regulator has also recently highlighted the importance of trustees managing AI concentration risk). They will also need to decide where it may be necessary to inform members about AI use. CommentMany of these expectations will be familiar from the Regulator’s AI plan, but the guidance adds more detail and practical examples which trustees should consider. The FCA has also recently shared examples of good and poor practice relating to AI use by financial services firms, includes examples of AI governance frameworks. Schemes may want to take these into account when designing their own governance arrangements. The Regulator’s guidance highlights the fact that the use of AI by, and on behalf of, schemes is evolving rapidly, as is the impact of AI on businesses, investments, financial markets and cyber security. It is vital trustees understand the opportunities and risks and takes steps to harness and manage these. How can we help?Our pensions, commercial and data protection teams have extensive experience helping organisations (including pension schemes) harness AI and manage the risks. Speak to your usual Eversheds Sutherland adviser to discuss how we can help you put in place effective and proportionate measures for your scheme. Webinar8 December 2026 12.00pm - 1:00pm GMT Latest InsightsLatest News
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