Datagran has introduced a feature that allows machine learning model outcomes to be seamlessly sent to Google Sheets, simplifying the process for analysts and developers to deliver model results to business units across an organization. This advancement, known as Actions, enables users to put models into production without relying on external tools, addressing common issues faced by data scientists who must often hand off their models to engineers for implementation. The Google Sheets action, accessible within the Datagran pipeline, allows users to integrate data sources, apply various algorithms like Regression or Classification, and connect model outputs directly to a Google Sheet. This streamlined process encourages collaboration between developers and analysts, offering a user-friendly interface for managing data and model outcomes efficiently. Users can test the integration by saving and running the pipeline, which automatically updates the chosen Google Sheet with the model's results, fostering an environment for easy data sharing and feedback.