Andy Bouts enhanced the Financial service equity research sample in the Snowflake-Labs/sf-samples repository by improving its documentation and workflow to streamline customer workshop preparation. He focused on updating the README and Jupyter notebook, clarifying prerequisites and implementation steps, and providing expanded explanations for leveraging Snowflake Cortex AI-SQL. Using his expertise in AI/ML, cloud computing, and data engineering, Andy utilized SQL and Markdown to make the onboarding process more accessible and reduce ambiguity for users. The work addressed the need for clearer guidance, resulting in a more efficient and user-friendly experience for teams preparing for equity research workshops.