Rapid Assessment

2026 AI Governance Pulse Check

UK Credit Unions

UK credit unions using AI in lending, fraud detection, member services, or AML face growing regulatory expectations. With the FCA's Consumer Duty fully in force, SM&CR accountability applying to AI governance, and the ICO actively supervising automated decision making, demonstrating robust AI governance is no longer optional.

This interactive scorecard provides a confidential assessment of your organisation's position. Answer the 10 questions below to generate your preliminary score and board ready results report.

Why this matters now (April 2026)

The FCA and PRA confirmed in April 2024 that SM&CR already applies to AI governance. Senior Managers are personally accountable. Consumer Duty is fully in force for all products and services. The ICO is supervising automated decision making under UK GDPR. The FCA launched its AI review (Mills Review) in January 2026, signalling increasing regulatory scrutiny.

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01

AI System Identification and Data Privacy

UK GDPR and ICO Compliance

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0/2 answered

This section focuses on understanding the AI systems in use and compliance with UK GDPR and ICO guidance on automated decision making and profiling. For most credit unions, the most significant AI systems will be in credit decisioning, AML and fraud monitoring, and member facing chatbots.

1

Has the credit union conducted and documented a formal inventory of all AI and machine learning systems currently in use, including loan decisioning modules, credit scoring tools, fraud detection systems, member chatbots and AML monitoring?

2

Have you identified whether any of your AI systems perform solely automated decision making that produces legal or similarly significant effects on members, and ensured compliance with UK GDPR Article 22 obligations, including the right to human intervention, the right to express their point of view, and the right to contest the decision?

02

Accountability and Governance

SM&CR Individual Accountability

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0/3 answered

This section focuses on the Senior Managers and Certification Regime (SM&CR) obligations that apply to UK credit unions, and how individual accountability maps to AI governance. The FCA and PRA confirmed in April 2024 that SM&CR already applies to AI oversight.

4

Has the board assigned clear, documented responsibility for oversight of AI governance to a specific Senior Manager, reflected in their Statement of Responsibilities, consistent with the FCA's expectation that SM&CR already applies to AI oversight?

5

Have Senior Managers taken documented reasonable steps to ensure that the AI systems operating within their area of responsibility are effectively controlled, tested, and aligned with the credit union's documented risk appetite?

7

Does the board receive regular, structured reporting on the performance of key AI systems, including accuracy metrics, fairness audits, identified biases, and any significant incidents or member complaints related to AI driven decisions?

04

Fairness, Bias and Vulnerable Members

Equality Act 2010 and Consumer Duty

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This section focuses on the practical controls needed to manage AI risk, prevent unlawful discrimination, and ensure consistently fair outcomes for all members, including those with characteristics of vulnerability. Credit unions have a particular responsibility here given their community focus and the demographics of their membership.

12

Do you have a process to periodically test for and mitigate bias in AI systems, particularly concerning protected characteristics under the Equality Act 2010, including age, disability, race, sex, religion and pregnancy, to ensure fair and lawful outcomes for all members?

13

Are there specific controls in place to ensure AI systems do not systematically disadvantage vulnerable customers, and does the credit union have a documented approach to identifying and adjusting AI outputs where a member's circumstances of vulnerability are known?

05

Third Party AI and Vendor Assurance

PRA SS2/21, FCA Outsourcing Rules and Practical Vendor Oversight

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0/1 answered

Most credit unions do not build AI systems internally. They rely on FinTech vendors and platform providers for lending modules, fraud tools, and member services. This section addresses both the formal regulatory requirements and the practical question of how a CEO or board can gain reasonable assurance that a vendor's AI tool is performing fairly and lawfully, without requiring a data scientist on staff.

15

Have you assessed your AI vendor arrangements against the PRA's SS2/21 and FCA outsourcing rules to determine whether they constitute material outsourcing or critical third party arrangements, and have you notified the FCA where required?

06

Consumer Duty Outcomes and Transparency

Member Rights, Complaints and Incident Response

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0/2 answered

This section links AI governance to the core principles of member trust, the FCA Consumer Duty's four outcome areas, and the credit union's obligations around transparency, redress, and operational resilience.

21

Have you updated your member facing materials, including loan application forms, privacy notices and website, to be transparent about the use of AI in decision making processes, using clear and simple language that a member can readily understand?

22

Have you established a clear, documented process for a member to request and receive a meaningful explanation of a significant decision made about them by an AI system, and to request human intervention or contest the decision?

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