Our experts provide their insights on the latest industry developments and share tips on accountancy and business matters.
30 March 2026
How unlocking the real value of Consumer Duty makes it more than just a box‑tickNearly three years on, many firms still treat Consumer Duty as a compliance exercise, but those looking beyond the basics are uncovering real strategic value. Better insight and enabling a more proactive approach to risk management are just two of the benefits emerging.
30 March 2026
Improving your Consumer Duty board report in 2026As firms prepare their 2026 Consumer Duty board reports, they’re finding the focus has shifted from implementing the framework to evidencing impact. In this blog, Simon Cavell details the steps you need to take to shape this year’s Consumer Duty board report.
06 January 2026
CASS 15 – payment services and e-moneyThe safeguarding landscape for payment and e-money firms is about to become more challenging. From 7 May 2026, the FCA’s new rules under PS25/12 come into force for authorised payment institutions, authorised e-money institutions, small e-money institutions, and credit unions issuing e-money in the UK. Gillian Boston, Audit Director, explains further.
22 December 2025
Financial Services Sector - predictions for 2026As we look back at the predictions we made for 2025, one thing stands out: we were directionally spot-on. The themes we highlighted last year - AI adoption, long-term strategic investment, continued M&A activity, the evolution of Consumer Duty, and the growing importance of resilience - are still the forces shaping the industry.
15 May 2025
Walking the AI Tightrope – balancing the risks and rewardsThe AI market is expanding rapidly, with businesses and governments globally racing to harness its potential. Industry leaders like OpenAI, Microsoft, and Nvidia continue to innovate, while major public investments, particularly in the US, China, and Europe, underline AI’s growing geopolitical importance. Yet for businesses, AI adoption remains a balancing act between opportunity and risk. While AI promises significant rewards, from operational efficiency and enhanced decision-making to better customer experiences, it also presents challenges. Poorly designed models, biased data, and weak oversight can lead to costly mistakes and reputational risks.
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