The UK’s Pension Schemes Act and the Targeted Support regime together are set to change what pension trustees and providers actually need from their data. Default retirement pathways, Value for Money assessments, and small pots consolidation all require automated decision-making at scale — which means AI, which means governance questions that most of the industry has not yet answered.
Lumera, an insurtech company providing technology to Life and Pensions firms across Europe, published commentary on 2 June 2026 arguing that the real bottleneck is not whether to use AI but how to build operating models that satisfy regulators who are deliberately not prescribing the rules. The UK has taken a principles-based approach to AI regulation, meaning individual sector regulators will issue guidance rather than hard mandates. That leaves trustees and providers to define their own controls — and to demonstrate they are robust.
“The real challenge is not simply adopting AI, but deploying it within a robust governance and control framework,” said Sami Saadaoui, Head of AI Architecture and Operations at Lumera. “Pension providers and trustees will need clear accountability, strong human oversight and transparent decision-making processes to ensure AI is being used responsibly and in members’ best interests. The UK’s principles-based approach to AI regulation means firms cannot rely on prescriptive rulebooks alone. Instead, they will need to demonstrate that their operating models, controls and governance frameworks are sufficiently robust to manage risks around bias, data quality, explainability and consumer outcomes.”
Lumera identifies a specific set of AI techniques as central to the reform agenda: clustering to identify patterns in member data, classification to support consistent decisions, and ongoing monitoring to detect behavioural shifts and trigger review. Each requires a defined path for human oversight, with intervention points built into the process rather than retrofitted after deployment.
The Pensions Regulator is expected to publish guidance on responsible AI adoption later in 2026. Providers that have already built governance frameworks will be better positioned to adapt to that guidance than those building from scratch when it lands.
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