M-Files Aino Metadata Agent is an agentic AI capability that extracts and/or constructs metadata based on your documents. Like chats with Aino, Aino Metadata uses Large Language Models (LLMs) to understand the content of the document. With this understanding, it can extract and/or construct the information you need.

M-Files automates manual work and frees employees to focus on higher value activities. When saving information to M-Files, M-Files Aino takes care of classifying and organizing the information. When saving a document, one click is all that is needed

• With the help of Aino, customers can extract valuable insights from the documents and save them for later use. Aino can perform “human like” deduction going far beyond simple metadata extraction
• Accurate metadata driven by M-Files Aino  will also help applying permissions and trigger related business processes or compliance activities.

Compared to other metadata extraction tools:

• Aino provides better results by leveraging LLMs and natural language prompts
• Aino can do more complex deductions, enabling more powerful analysis of document content
• Aino does not require training, it works out of the box.
• Adding automation for new metadata properties is very easy

Aino Metadata Agent at Scale is an agentic, context-first AI capability that runs in the background to find the right documents, automatically apply metadata at scale, and clearly show which values were set by AI, giving customers automation, transparency, and human control in one package.

With Aino Metadata Agent at Scale

• Admins configure criteria to find batches of documents.
• Aino runs as a background process, automatically populating metadata.
• System tracks which property values were automatically set by Aino for AI transparency.
• Human-in-the-loop validation when needed through custom views.
• Designed for continuous improvement in performance, configurability, accuracy, and functionality.

Core use cases for Aino Metadata Agent at Scale

• Large migrations(managed objects): When importing big volumes of content into M-Files, configure Aino to automatically populate metadata in the background on the migrated documents.
• Discovery projects: For discovery-style initiatives where you need better metadata across a subset of content, use batch processing to quickly enrich it.
• Bulk updates affecting many documents: When a change affects many documents at once, use Aino to apply metadata updates in the background, instead of manually touching each document.
• Human-in-the-loop quality control: Set review triggers so that AI-set metadata can be validated through workflows or views before being fully trusted in critical scenarios.

For more information about M-Files AI-driven automation: https://www.m-files.com/solutions/artificial-intelligence/