Module 1 — Understanding Generative AI
- What is Generative AI and how does it work?
- Understanding Large Language Models (LLMs)
- How does AI generate responses and content?
- Strengths and limitations of Generative AI
- What are AI hallucinations?
- Validating and quality-checking AI-generated outputs
Module 2 — Generative AI for Everyday Work
Practical applications of Generative AI for Head Office employees:
- Writing professional emails and business communications
- Summarizing long texts and documents
- Structuring meeting notes and extracting action items
- Preparing and improving business reports
- Creating presentation outlines and content
- Research and information synthesis
- Brainstorming and generating alternatives
- Document analysis and information extraction
Module 3 — Generative AI Use Cases in Banking
Participants explore practical banking-related scenarios, including:
- Analyzing customer complaints and identifying key themes
- Creating executive summaries and action items from meeting notes
- Summarizing internal banking policies
- Simplifying complex management reports
- Comparing products according to defined criteria
- Creating project plans and task lists with AI assistance
Module 4 — Safe Use of Generative AI in Banking
- Considerations when providing banking data to AI tools
- Protecting confidential and corporate information
- Personal data and data privacy
- Using approved enterprise AI tools
- Reviewing and validating AI-generated outputs
- Human oversight and accountability for final decisions
Workshop — “Redesigning My Workday with AI”
Participants select five tasks from their daily work and explore how each task could be improved or optimized with Generative AI.
For each task, they identify where AI can provide support, potential time and productivity benefits, associated risks, and where human oversight remains necessary.
By the end of the workshop, participants create a practical personal AI use map tailored to their own role and daily responsibilities.