
At CFTE’s UK–Singapore Exchange, a panel featuring leaders from MAS, FCA, and Trust Bank explored a critical question:
What does it actually take to build an AI-ready financial system?
The answer was clear:
AI readiness is not just technical — it is institutional.
The Role of Regulators Is Evolving
Simran Singh (FCA) described the regulator’s role not as enforcing rules, but as:
“Shaping the conditions for AI to be deployed responsibly and effectively at scale.”
This includes:
- translating principles into practical guidance
- signalling expectations to the market
- convening stakeholders across the ecosystem
Alan Lim (MAS) reinforced this perspective, highlighting that regulators now act as:
- enablers of innovation
- coordinators of ecosystems
- contributors to capability building
Governance Is Not the Constraint — It Is the Enabler
A key theme across the panel was the role of governance.
Rather than slowing innovation, strong governance:
- builds trust
- reduces uncertainty
- enables faster scaling
As one panellist noted, understanding risks allows institutions to move faster with confidence.
The Hidden Challenge: Organisational Readiness
While AI technology continues to advance rapidly, the panel identified a deeper challenge:
It is easier to build AI systems than to build organisations that can absorb them.
This includes:
- aligning teams
- managing data coherence
- integrating governance
- adapting operating models
Without this, even the best AI solutions fail to scale.
Collaboration as a Competitive Advantage
Another strong message:
No institution can build AI alone.
Effective AI adoption requires collaboration across:
- regulators
- financial institutions
- technology providers
This is particularly important in regulated environments, where shared standards and frameworks accelerate adoption.
The Takeaway
AI readiness is not achieved through technology alone.
It depends on:
- governance
- capability
- collaboration
- organisational change
The future of financial services will be shaped not by who adopts AI first —
but by who integrates it most effectively across the system.
