# Filling Checklist Metadata with AI We’re excited to announce the launch of **Unifize AI** for checklist data entry in Unifize! This major upgrade helps you complete checklists faster, more accurately, and with fewer manual steps. *** **What’s New:** * **AI from Incoming Emails** Automatically populate checklist fields based on the content of incoming emails. Save time when handling requests, issues, or documentation submissions. * **AI from Document Uploads** Upload structured or unstructured documents (PDFs, DOCs, etc.) and have Unifize extract key information directly into your checklist fields. * **AI Guided Multi-Step Flow** Walk through a simple, guided AI-powered form that suggests data for each field step-by-step, reducing cognitive load and speeding up checklist completion. *** **Key Benefits:** * Eliminate repetitive manual data entry * Reduce errors in capturing incoming information * Shorten turnaround times on record creation and updates *** **Availability:** This feature is live for all users with checklist creation/edit permissions. > 🔗 Learn how to enable and use AI-assisted checklist entry --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.unifize.com/release-notes/april-2025/filling-checklist-metadata-with-ai.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.