A live webinar entitled “Beyond Automation – AI Agents at the Core of Financial Transformation” was recently organised by Nexus FrontierTech, with participants joining from global regions and a wide range of industries, particularly within the financial services, fintech, and technology sectors.
The session featured the founding leadership of Nexus FrontierTech: Danny Goh – CEO, Founder, alongside Co-founders – Dr. Terence Tse and Dr. Mark Esposito – long-standing collaborators in AI strategy, enterprise transformation, and public policy.
The discussion centred on Agentic AI: intelligent, goal-oriented systems that move beyond both traditional automation and generative AI to support strategic decision-making and operational agility in financial institutions.
Danny Goh opened the session with insights on Nexus’s journey and the real-world value of AI Agents in enterprise transformation.
Dr. Terence Tse unpacked the concept of Agentic AI and why it requires a strategic shift in how organisations approach autonomy.
Dr. Mark Esposito discussed how AI Agents can support better decision-making and governance across complex financial systems.
The webinar attracted active participation from attendees, with thoughtful questions on the reliability of AI Agents in decision-making, their application in financial services, and the broader implications for areas such as prompt engineering, compliance, and digital readiness.
This high level of interaction highlighted the growing interest and urgency among finance and technology leaders to move from concept to implementation in AI strategy.
A full recording is now available for those who wish to revisit key insights or reflect further on the discussion.
We extend our appreciation to all attendees for their time, engagement, and valuable contributions throughout the session.
This session is part of Nexus FrontierTech’s ongoing commitment to advancing responsible and applied AI innovation in finance and beyond, and we remain mindful that lasting impact requires collective effort across the ecosystem.
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