Summary
What this article covers in 30 seconds
- Financial services firms are rapidly adopting AI across core operations.
- Efficiency and commercial pressure are driving adoption ahead of regulatory certainty.
- Firms must prove oversight, accountability and governance as AI enters decision-making.
- Structured data and purpose-built predictive AI are needed for regulated decisions.
Joe Norburn, CEO at TCC Group, said financial services firms are rapidly adopting AI across core operations, driven by efficiency and commercial pressure rather than regulatory certainty.
While regulators such as the FCA support innovation, firms are increasingly expected to prove they can maintain oversight, accountability and governance as AI becomes embedded in decision-making.
Data, explainability and auditability
Joe Norburn said the biggest challenge is not AI capability, but ensuring the quality, explainability and auditability of the underlying data. Generative AI alone is not suitable for regulated financial decisions, and firms will need trusted, structured data combined with purpose-built predictive AI to scale automation safely while meeting growing regulatory expectations.
Regulators are not asking firms to pause innovation, but they are increasingly focused on how outcomes are evidenced, how risks are identified and mitigated, and how accountability is maintained once AI is operating at scale.
Joe Norburn, CEO, TCC Group
Frequently asked questions
Adoption is driven by efficiency and commercial pressure rather than regulatory certainty.
They expect firms to prove oversight, accountability and governance as AI becomes embedded in decision-making.
The main challenge is ensuring the quality, explainability and auditability of the underlying data.