The Pension Schemes Act's requirements for guided default pathways, large-scale consolidation, and standardised Value for Money assessments will generate data management challenges at a scale that makes manual processing unworkable, according to insurtech company Lumera.
The argument is practical rather than promotional. Trustees will need to group members into pathway categories and refine those groupings continuously as new data arrives. Doing that at the volume the Act requires, across both defined contribution and defined benefit markets, is the kind of ongoing optimisation task that suits automated analysis.
As we enter a new era for the pensions sector in the UK, AI is set to be a critical driver of transformation in how providers achieve greater efficiencies and improve the member experience.
Lumera's note is careful to frame AI as a complement to human expertise rather than a replacement: governance, operating models, and regulatory compliance remain prerequisites for trust. That's a significant caveat in a sector where the regulators have been explicit about requiring evidence of responsible deployment before sign-off.
The broader context is a UK pensions industry that is still absorbing the scale of consolidation the Act implies. For technology providers like Lumera, the legislation's complexity is a business opportunity; the company serves life and pensions clients across the UK, Netherlands, Norway, Sweden, and Vietnam.
Lumera is headquartered in Stockholm and backed by Nordic software investor Monterro.
