This presentation [AI-Assisted Program Delivery: Standardizing Custom GPTs for Regulated Financial Programs] demonstrates how program-specific Custom GPTs, grounded in approved documentation and regulatory artifacts, can be used to accelerate onboarding, reduce execution friction, preserve institutional knowledge, and improve audit readiness across large-scale financial and FinTech programs. Using the SCCL program as a case study, the session will demonstrate a real; in-production Custom GPT in action; Explain how instruction design and documentation quality impact accuracy and reliability; identify repeatable use cases for program management, PMOs, and regulatory teams; propose a scaleable, governed approach for broader adoption across Finance and FinTech programs; outline a lightweight enablement model for responsible AI implementation. The format will be a 30-minute executive screening with a short live demo, practical implementation guidance, and clear next steps.
This presentation [AI-Assisted Program Delivery: Standardizing Custom GPTs for Regulated Financial Programs] demonstrates how program-specific Custom GPTs, grounded in approved documentation and regulatory artifacts, can be used to accelerate onboarding, reduce execution friction, preserve institutional knowledge, and improve audit readiness across large-scale financial and FinTech programs. Using the SCCL program as a case study, the session will demonstrate a real; in-production Custom GPT in action; Explain how instruction design and documentation quality impact accuracy and reliability; identify repeatable use cases for program management, PMOs, and regulatory teams; propose a scaleable, governed approach for broader adoption across Finance and FinTech programs; outline a lightweight enablement model for responsible AI implementation. The format will be a 30-minute executive screening with a short live demo, practical implementation guidance, and clear next steps.
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Explore the challenges and innovative solutions in financial and fintech program execution, highlighting fragmented knowledge, slow delivery, and redundancy issues. Discover the use of enterprise-approved AI tools like Custom GPTs, grounded in verified documentation, to address these challenges. A case study on the SCCL Program showcases the creation of SCCL-GPT for regulatory automation and governance with traceable directives. Learn how transforming program documentation into dynamic assets...