The Art of AI Prompting in Finance
Watch Stephen Hedlund (Rillet) and Craig Thompson (Aleph) as they break down how finance teams can move beyond AI experimentation and start using LLMs reliably in day-to-day finance workflows.
AI has become table stakes for finance teams, but many still struggle to get consistent, reliable outputs from general-purpose tools.
In this webinar, Aleph's Craig Thompson and Rillet's Stephen Hedlund walk through how finance teams can operationalize large language models (LLMs) like ChatGPT, Claude, and Gemini without compromising accuracy or control.
You’ll learn how to design prompts that reflect real finance logic, how to package them into reusable workflows, and how to avoid the common pitfalls that lead to hallucinations, rework, or skepticism.
Backed by real examples and live walkthroughs, you’ll leave with a simple framework you can apply immediately.
Join the session to learn:
- How to set up LLMs to handle real finance workflows like forecasting, variance analysis, and reporting
- How to design prompts that improve accuracy, consistency, and explainability
- High-leverage AI use cases you can implement immediately
- How to structure context so AI understands your business and financial logic
- Common prompting mistakes finance teams make and how to avoid them
- How leading finance teams are thinking about the “LLM layer” of the finance stack
Plus, practical examples and open Q&A.
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