Teams | Collaboration | Customer Service | Project Management

AI & Beyond with Microsoft and M-Files

M-Files is presented by Microsoft as a comprehensive document management solution that transforms how organizations handle documents, people, and processes by creating a context-rich, connected ecosystem. The platform differentiates itself from traditional file storage systems by capturing knowledge and relationships around every document and workflow, creating a living information environment. M Files integrates natively with Microsoft 365 applications including Teams, Outlook, Office, and Copilot enabling AI-powered automation while maintaining security and compliance standards.

Top Reasons to Choose On-Premise Servers Over Cloud in 2026

In recent years, many organizations have turned to cloud platforms because of their flexibility, scalability, and convenience. But with the rising threat of cyber attacks and the importance of data privacy, organizations have begun to realize that perhaps the best place for their communication systems to be located is not in the cloud at all. In 2026, organizations that require high security for their communication systems have turned to on-premise servers.

How Endava scaled AI-native delivery with Miro's AI Innovation Workspace and Dava.Flow

Endava is a leading provider of next-generation technology services with 11,000 full-time employees serving enterprise clients across multiple industries. At a time when many organizations are testing AI in pockets — a chatbot here, a model there — Endava recognized the business imperative of a holistic AI transformation strategy at a company-wide level.

The DUMBO method: how to turn Sidekick conversations into repeatable AI Flows

As a cloud architect, you’re going to have to embrace AI as part of your job — unless handcrafted artisan cloud becomes a niche in the future. But this doesn’t mean that you’re going to be left by the wayside. Anybody who has used AI coding tools knows that interesting things can happen when decisions are left up to them. So, that means decision-making should be left up to the people and the code writing to the AI bots … right?

How engineering leaders can get more from AI code-gen tools

AI code-generation tools promised a revolution in software development. And in many ways, they’ve delivered. Code that once took hours to generate now takes minutes. But the goal isn’t just to code faster; it’s to code well. Your teams need to feed AI coding tools the right context to generate code that works with your existing systems, meets your business requirements, and integrates without expensive rework.

Miro MCP + Claude Code: Shipping Open Source Features with AI Agents

Discover how AI Agents are revolutionizing the open-source engineering lifecycle. In this technical demo, we integrate Claude Code with Miro via the Model Context Protocol (MCP) to bridge the gap between visual planning and production code. Watch as autonomous agents analyze the MCP-Obsidian codebase, gather visual context from a website, and ship a new feature, directly from sticky notes on a board to a live Pull Request.

How a simple team ritual drove a 34% jump in AI alignment

The story of AI at work is often told in big, sweeping terms: platforms, transformations, enterprise rollouts. Those things matter. But day to day, what actually shapes behavior is what teams talk about regularly. So instead of launching yet another AI program, Atlassian’s Teamwork Lab gave an AI upgrade to a ritual we already had: retrospectives.

From AI hesitation to AI alignment: How Collective Next built an AI Manifesto Template in Miro

AI adoption doesn’t stall because teams lack access to the technology. It stalls because people don’t know where the boundaries are. Collective Next — a consultancy that co-designes solutions with Fortune 500 and nonprofit clients — saw this firsthand, both internally and with their clients.

AI in Compliance Recording: What It Actually Delivers, Where It Fails, and Why Your Foundation Matters

When checking recordings for possible compliance breaches, you shouldn't need to listen to millions of calls. AI promises to find the three that matter. But before it can help, it needs something solid to work with. Without a compliant recording foundation, AI doesn't reduce your risk. It amplifies it.