The Financial Conduct Authority (FCA) has significantly reduced the time required to process certain supervisory cases by implementing artificial intelligence technology. According to the regulator’s annual report for the year ending March 2026, the introduction of AI automation cut the average case handling time from up to four hours to just six minutes.
The FCA oversees tens of thousands of financial services firms and is adopting AI tools to enhance the efficiency of its operations, including its authorisation processes. The regulator described this as part of a broader shift toward becoming a faster and more data-driven organisation under its new five-year strategy, which began in April 2025.
Since his appointment in 2020, CEO Nikhil Rathi has been working to reform the FCA amid past challenges, including several controversies predating his tenure. Despite the regulator’s recent attempt to enforce a £9.1 billion consumer redress scheme on motor finance lenders for mis-selling being delayed by a legal dispute, chairman Ashley Alder stated that the FCA has “made a strong start” to its strategic objectives. Rathi acknowledged progress while noting that further work remains, calling the current state a “solid foundation.”
The FCA also highlighted growing concerns over investment fraud, identifying it as a “major threat.” Data analysis shared with the National Fraud Intelligence Bureau showed reported losses from investment fraud more than doubled in 2025 to £1.2 billion, up from £552.6 million the previous year. Additionally, the regulator reported suspicious trading activity prior to over 40% of UK takeover announcements last year, the highest proportion recorded, raising further regulatory scrutiny.
Whistleblowing activity increased as well, with 1,375 reports received by the FCA during the year to March, a rise of 22% compared to the prior period. The regulator used information from these reports to take direct enforcement action on 523 occasions.
These developments underscore the FCA’s intensified focus on improving oversight and enforcement efficiency through technological innovation, while addressing persistent risks such as fraud and market abuse.
