Unpack the next evolution of AI in finance by moving beyond prompting into building real workflows—using natural language, structured thinking, and a reliability-first mindset.

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Watch as Albert (Aleph) and John (Campfire) collaborate live to “vibe code” a finance workflow from scratch. Starting from a simple idea, they’ll show how to structure prompts, iterate in real time, and transform a rough concept into a functional, repeatable workflow that finance teams can actually use.

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This session is designed for finance professionals who have experimented with AI but haven’t yet operationalized it. The focus is not just on generating outputs—but on building workflows that are consistent, auditable, and scalable.

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Join in on the discussion to learn:

• How to go from one-off prompts to structured, repeatable finance workflows
• Where AI actually works in finance—and how to avoid the “mostly right” trap
• How to break down finance problems into steps AI can reliably execute
• Live examples of building workflows such as:
• How to validate and debug AI outputs to ensure financial accuracy
• When to use general LLMs vs purpose-built tools to operationalize workflows
• A practical framework for turning AI experiments into production-ready processes

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Plus, much more...

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