Over 60 industry professionals recently gathered at the George Town Yacht Club for a detailed presentation of one of the most transformative technologies emerging in banking, Agentic AI. Hosted by CIBA, and presented by Grant Thornton, Jennifer Norris and Matthew Cassidy shared insights into what it takes to scale AI successfully.
GOVERNANCE
The foundation must have both strong governance and human accountability. Organizations need to be clear on decision rights and data access and have a centralized repository for controls.
“Authority may be delegated, but accountability cannot.”
Organizations also need to be deliberate about their AI strategy, whether that means going all in or taking a cautious approach.
RISKS
These new digital team members also come with risks, particularly when an organization’s policies and procedures are outdated.
Key risks include data privacy breaches, cybersecurity vulnerabilities and regulatory non-compliance.
OPPORTUNITIES
The real opportunity is not simply to replace tasks with AI; but to give professionals more time to focus on other responsibilities.
A few potential banking use cases include:
• Know-Your-Customer (KYC) Onboarding – Extracting customer information and assigning an initial risk rating, with a human making the final assessment.
• AML Transaction Monitoring – Triaging alerts and assembling supporting evidence for review.
• AML Compliance Reporting – Identifying what has changed over a specific period and preparing reports for approval.
Across each case, the principle will remain the same: AI can improve efficiency, but humans must remain in the loop.
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