A-Team Insight: AI in financial services where the real challenges are starting to emerge
AI governance, oversight and accountability are becoming harder as financial services firms move beyond adoption and embed AI in day-to-day decisions.
AI governance, oversight and accountability are becoming harder as financial services firms move beyond adoption and embed AI in day-to-day decisions.
The next phase of Consumer Duty oversight depends on evidence, audit trails and data-led judgement.
Ongoing advice is under closer FCA scrutiny, requiring firms to evidence service delivery, fair value, review triggers and client outcomes without unsustainable manual effort.
Financial services firms must evidence control, accountability and governance as AI becomes embedded in regulated decision-making.
Joe Norburn’s Always Finance News comments focus on a shift from AI adoption to control, with reliable, explainable and auditable data becoming the main challenge.
What the FCA’s 2026–27 Work Programme means for evidence, data governance and supervisory expectations across UK financial services.
FCA priorities and Consumer Duty expectations are moving ongoing advice away from fixed processes towards evidence of judgement, value and client outcomes.
The FCA’s mortgage priorities place renewed emphasis on evidence, outcome testing, responsible lending and the ability to understand customer experience across the journey.
The FCA’s wholesale priorities require firms to evidence operational resilience, governance and technology controls in practice, not just maintain documented frameworks.
The FCA’s 2026 retail banking priorities require boards to evidence access decisions, Consumer Duty outcomes, fraud controls, resilience and data security.