AI adoption across UK financial services is facing a “reality check”, according to new research from RegTech firm Aveni, which suggests that while enthusiasm for artificial intelligence is accelerating, organisational readiness remains uneven and constrained by governance, risk and cultural challenges.
The thought leadership report, Transformation Nation: The AI Innovation Shift in financial services, draws on interviews with senior leaders from wealth management, life insurance, financial advice and consultancy to assess how AI is being deployed in real operational environments. Rather than focusing on future potential or theoretical use cases, the research examines where AI is already delivering value, where progress is stalling, and what the next phase of adoption will demand from regulated firms.
The report finds that early AI use cases are beginning to generate measurable productivity gains, particularly in areas such as quality assurance, documentation and workflow automation. These applications are helping firms reduce manual workloads and improve internal efficiency. However, Aveni’s research suggests that moving beyond these initial wins to scale AI safely and sustainably remains a significant challenge.
Across the interviews, governance, explainability, data quality, regulatory alignment and cultural readiness consistently emerge as the primary barriers to progress. While many firms recognise the strategic importance of AI, the maturity of internal controls and operating models often lags behind ambition. Aveni said the research was designed to capture the perspectives of those directly accountable for delivery, rather than focusing on high-level strategy alone.
Aveni CEO Joseph Twigg said, “AI is now central to conversations about the future of financial services, but there is still a wide gap between ambition and preparedness. With this report we wanted to move beyond speculation and marketing narratives and understand how leaders are actually navigating AI adoption, what’s working, what isn’t, and what responsible transformation really looks like in a highly regulated sector.”
Twigg also highlighted the particular responsibilities facing financial services firms as AI adoption accelerates. “Financial services has a unique responsibility when it comes to AI,” he said. “Trust, accountability and customer outcomes must sit at the centre of adoption. Our aim with this report is to provide a realistic benchmark for the industry, one that supports informed decision-making rather than fear-driven or hype-led implementation.”
Interviewees for the report included Nick Holmes, managing director, client services and oversight at Quilter Cheviot; Myrsini Alexandratou, head of strategy and innovation, COO at Royal London; Gregg Schofield, head of advice strategy at Wesleyan; James Richardson, head of innovation at Shackleton; and Mike Barrett, consulting director at Lang Cat.
One of the key findings is a shift in executive thinking around AI, with leaders increasingly viewing it as a core capability that will shape operating models, adviser workflows and customer engagement, rather than a bolt-on technology. However, the report cautions that isolated pilots and generic tools are unlikely to deliver long-term value. Instead, firms will need to redesign processes, strengthen oversight frameworks and improve collaboration with technology providers and regulators.
Looking ahead, Transformation Nation explores how AI adoption is likely to evolve over the next 12–18 months. This includes the emergence of more specialised, finance-specific AI models and early experimentation with agent-based systems, developments that will require greater scrutiny around assurance, explainability and risk management as regulatory expectations continue to rise.
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