M-Files Releases New AI Agents that Know the Context of Your Documents And Handle Repetitive Work

The new M-Files agents aren't just search tools. They actually understand what you're working on, make smart choices, and get things done while staying within your company's guidelines.

Last Updated: July 24, 2026 Editorial Process
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Published on: June 27, 2026

AUSTIN, Texas — M-Files launched a new lineup of AI agents built to do more than just retrieve files. These agents actually get the context of your work—who you are, what you're trying to do, and how your business runs. And they take action accordingly, all while keeping everything secure, transparent, and within your company's rules.

The secret? M-Files' Enterprise Knowledge Graph, which connects the dots between documents, people, and processes. That means these agents don't just see words on a page, they understand the bigger picture.

M-Files Custom AI Agents

One of the standout releases is M-Files Custom Agents (Beta) . These let organizations build their own AI helpers using simple, natural language instructions—no coding required.

Here's how it works: you tell the agent what you want it to do, and it reads documents, checks related business context, updates only the information it's allowed to change, and moves the work forward automatically. Everything it does is logged with a clear explanation, so you always know why a decision was made. That means full audit trails, protected sensitive data, and happy compliance teams.

Custom Agents join M-Files' growing family of AI helpers, each designed for a specific job:

  • M-Files Metadata Agent – The moment a document lands in M-Files, this agent suggests how to classify, name, tag, and describe it. No setup required. It even goes back and fills in missing metadata on older documents.
  • M-Files Metadata Agent at Scale – Got thousands of legacy documents gathering digital dust? This agent cleans them up in bulk, turning messy, unstructured content into organized, searchable information. You can even schedule it to run automatically.
  • M-Files Insights Agent – Instead of waiting for you to search, this agent proactively tells you what matters right now—like which client engagements are at risk, which approvals are overdue, who's overloaded, and what you should do next. Less hunting, more advising.
  • M-Files Task Agent – After a client meeting, this agent listens to the transcript, pulls out action items, assigns them to the right people, and updates the engagement record. No more manual follow-up logging.
  • M-Files Quality Agent – For teams dealing with quality records, this agent auto-fills fields like nonconformance descriptions and audit responses based on document context. Less typing, more consistency.
  • M-Files Contracts Agent – Reviews contracts against company policies and automates next steps for both incoming and outgoing agreements. Speeds up reviews while keeping everything audit-ready.
  • M-Files Aino ("I know") – Think of it as a smart companion that finds trusted answers from your enterprise content, so you spend less time digging and more time understanding.

Here's a sobering stat: according to Gartner, only 14% of organizations are confident their content is AI-ready. That means most companies are trying to run AI on a shaky foundation—which is a recipe for bad decisions and data leaks.

Tony Grout, Chief Product Officer at M-Files, put it this way: "M-Files serves as the trusted system of record for enterprise content, transforming documents into governed, context-rich knowledge delivered through our enterprise knowledge graph. As organizations move from AI-assisted work to agentic workflows, trust becomes essential. This latest M-Files agentic release extends beyond information retrieval, enabling AI to take intelligent actions and automate processes while maintaining the transparency, governance, and control enterprises need to scale enterprise AI with confidence."

M-Files isn't stopping here. The company is already working on support for emerging standards like the Model Context Protocol (MCP), which will help customers extend their trusted enterprise context across a wider ecosystem of AI platforms and agents.

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