How to Keep LLM Token Costs Down

LLMs can do a lot. But should you use one every single time an analytics process runs?

In this Alteryx in Action session, Alteryx Solutions Engineers will put that question to the test.

You’ll see what happens when the same analytics task is run repeatedly through an LLM, including how token usage, execution time, and results can vary. Then, see how Alteryx can turn repeatable parts of the process into a workflow while still bringing in an LLM where context and judgment are actually useful.

Using real finance examples to show you how to:

• Decide which parts of a process actually need an LLM
• Reduce unnecessary token usage by keeping repeatable logic in Alteryx
• Use Ask Alteryx to build visible, repeatable workflows
• Bring an LLM into an Alteryx workflow when interpretation or judgment is needed
• Make AI-powered analytics easier to understand, repeat, and audit

You’ll also learn the VURA framework: visible, understandable, repeatable, and auditable, and how to apply it when deciding where AI fits into your analytics.