M-Files

Contracts never arrive at a convenient time.

A new deal lands while legal is buried. A supplier sends their own terms. A renewal hides changes three pages deep.

Most teams still catch these manually, one contract at a time.

The M-Files Contract Risk Review Agent works differently. It understands the content, judges it against your organization's own requirements, and acts, flagging exceptions and routing high risk contracts straight to legal.

Not just summarizing. Deciding.

That's the real shift happening in enterprise AI right now: from reading information to acting on it at the exact moment it matters.

Want to see it in action? Read our latest blog and let's set up a walkthrough. https://www.m-files.com/blog/articles/ai-contract-review-risk-assessment/

You wouldn’t trust 1,000 untrained employees to make decisions for your business. So why would you trust 1,000 AI agents without the right context?

As organizations move from AI assistants to autonomous agents, the stakes are changing. AI isn’t just generating answers anymore. It’s increasingly influencing decisions, executing tasks, and acting on behalf of the business. And governance alone isn’t enough.

AI needs trusted information, and the context to understand what that information means, how it relates to the business, and how it should be used.

In a recent article for The AI Journal, M-Files Chief Product Officer Tony Grout explores why context is foundational to responsible agentic AI, and why accountability ultimately remains human. The takeaway: AI governance doesn’t stop at the model. It starts with the content that gives AI the context to act responsibly.

Read Tony’s perspective: https://aijourn.com/the-hidden-ai-governance-risk-content-readiness/

The Hidden AI Governance Risk: Content Readiness | The AI Journal AI has proven itself as an immensely valuable tool for static and straightforward use cases. Content development, data entry, and communication summarization

⏰ Last chance to register! Our webinar Content Readiness for AI and Agents starts soon.

As organizations accelerate their adoption of Microsoft Copilot and AI agents, one question is becoming increasingly important: Is your content actually ready for AI?

AI needs more than access to information. It needs trusted, governed content and the context to understand how documents connect to the people, projects, and processes behind the work.

Join guest speaker Cheryl McKinnon, Principal Analyst at Forrester, Ian Story, Principal Architect at Microsoft, and Ryan Barry, VP Strategic Operations & Corporate Development at M-Files, as they explore why AI readiness requires a different approach to managing strategic business content.

👉 Don't miss it. Register now: https://app.sequel.io/m-files/content-readiness-for-ai-and-agents

Microsoft 365 Copilot is secure by design. It respects your existing identity, access, and compliance controls. So, if adoption feels slow, the platform likely isn't the problem. The real question is whether your content is ready for AI.

Copilot's natural-language search surfaces anything users are authorized to see, including content that used to sit quietly forgotten. That makes strong information governance essential.

Real AI readiness means:
→ Cleaning up broad access, stale groups, and anonymous links
→ Identifying sensitive or business-critical content
→ Connecting documents to their owners and processes
→ Applying lifecycle, retention, and audit controls
→ Testing real use cases with security and compliance teams first

Microsoft builds the secure foundation. M-Files helps you build on it, with the governance and lifecycle management to get real value from Copilot.

Join our webinar, Assess Your AI and Agent Readiness, for a practical framework to strengthen information quality as you scale AI.

Register now: https://www.m-files.com/events/content-readiness-for-ai-and-agents/
Save your spot. Spaces are limited.

Read the blog: https://www.m-files.com/blog/articles/prevent-microsoft-copilot-oversharing/

Audit announced. Quality teams scramble across five systems. Engineers chase drawing approvals. Supplier certs get hunted down last minute.

That scramble isn't the problem. It's a symptom.

Your information is scattered, and finding a document is only half the battle. Knowing if it's the current, approved version is the real challenge.

This creates constant operational friction: small daily delays that drain productivity long before an audit ever exposes them. And here's the kicker, AI hits the same wall. It can't tell trusted information from outdated content without context.

The manufacturers who breeze through audits aren't the ones who prep the hardest. They're the ones who've built governance into daily work, so evidence exists before anyone asks for it.

Audit readiness isn't a checkbox. It's a signal of operational maturity.

Find out where you stand. Take the free Manufacturing Audit Readiness Assessment: https://www.m-files.com/m-files-platform/ai-readiness-model/

Full article: https://www.m-files.com/blog/articles/manufacturing-audit-readiness/

Some consulting firms get dramatically better results from AI than others. The difference usually isn't the technology. It's the information feeding it.

When client knowledge is scattered across proposals, deliverables, emails, and old project folders, AI struggles to tell what's current, approved, or even relevant. Ask it to help draft a new proposal, and it may pull outdated or incomplete content because it has no way to judge context.

The firms winning with AI are doing something different. They're treating AI readiness as an information management challenge, not just a technology rollout. That means:

→ Governed content, so teams (and AI) trust what they're looking at
→ Permission-aware intelligence, so sensitive client work stays protected
→ Reusable knowledge, so every proposal and engagement builds on the last

Context turns AI from a novelty into a real productivity gain, faster proposals, more consistent delivery, and consultants spending less time hunting for information and more time on client work.

Read the full article here: https://www.m-files.com/blog/articles/ai-consulting-context/

Register Today: Content Readiness for AI and Agents Webinar

AI can only create meaningful business value when it can work with information you trust.

That means preparing more than just your technology.
· Your documents need context
· Your information needs governance
· Your AI needs a reliable foundation

Join our guest speaker Cheryl McKinnon, Principal Analyst at Forrester, Ian Story, Principal Architect at Microsoft, and Ryan Barry, VP Strategic Operations & Corporate Development at M-Files to explore why AI readiness requires a different approach to managing strategic business content.

👉 Register Today: https://app.sequel.io/m-files/content-readiness-for-ai-and-agents

What happens when document management fits into the way people already work?

For Holmes Murphy, it means giving employees a seamless experience inside Salesforce, with M-Files embedded directly into their daily workflows.

Teams can find, preview, update, and work with the information they need, all in one place instead of jumping between systems.

The impact:
· Less operational friction
· Easier access to trusted content
· A more connected employee experience
· A stronger foundation for AI and future innovation

As Holmes Murphy extends M-Files across its business, it is creating a connected, scalable way of working that helps employees stay focused and increases productivity while offering an even better client experience.

This is Context-First Document Management in action.

See how Holmes Murphy is putting its documents to work with M-Files: https://www.m-files.com/resources/case-studies/holmes-murphy/

Observability Engineer in the IT Services Industry gives M-Files 5/5 Rating in Gartner Peer Insights™ Document Management Market.

Read the full review here: https://gtnr.io/WtvRYbUXX

AI agents are smart, but do they understand your business?

As enterprises move from AI experimentation to deployment, that distinction matters.

In a new TechStrongGroup Leadership Insights conversation, Tony Grout, Chief Product and Technology Officer at M-Files, joins Mike Vizard to explore why the rise of agentic AI requires a new approach to access, governance, and oversight.

Tony compares an AI agent to a smart new employee: capable from day one, but without the context to understand your priorities, policies, and boundaries unless you provide it.

That’s why trusted AI requires more than intelligence. It requires context.

The conversation explores:
🔹 Why unmanaged agents can expose hidden security and data risks
🔹 Where deterministic workflows still need to set the guardrails for AI
🔹 Why permissions, auditability, and human oversight become even more critical at agentic speed
🔹 How trusted, governed information can help enterprises unlock their AI potential without losing control

At M-Files, we believe AI creates real business value when it works with trusted documents and the context surrounding them. As agents become more capable, that foundation will only become more important.

Watch the full TechStrong TV conversation: https://techstrong.tv/videos/ai-leadership-insights/ai-agent-access-controls-become-critical-as-enterprise-automation-scales

AI Agent Access Controls Become Critical as Enterprise Automation Scales - Techstrong TV Tony Grout of M-Files joins Mike Vizard to discuss AI agent access controls, data quality, deterministic workflows, auditability and oversight.