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An agent answers. A team of agents works. Between these two sentences lies the most important shift enterprise AI is making these days: from chatbot to process. They're called multi-agent architectures: systems in which several specialized agents coordinate to complete a task, each with its own role,
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Welcome back to the AIsuru release notes v10.0.0 ! Here you'll find new features, improvements, and bug fixes to make your AI Agents more powerful and secure 🚀 NEW FEATURES AND IMPROVEMENTS! Corporate MCPs Now tenant admins can configure MCPs for their users and agents. In the tenant
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AI agents don't enter a company in place of people: they enter in place of one specific part of the work, the part no one will miss. And in doing so they change processes, which is the thing that really matters. In this article we line up what
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Updated as of July 2026. Comparison based on public documentation of both platforms. Let us know about any inaccuracies: we'll fix them. If your company uses Microsoft 365, the question is inevitable: why not build AI agents with Copilot Studio, since it's already there? It'
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"The mistake many people make is aiming for the latest language model, when instead you need to immerse it in an infrastructure". This is the conviction of Nunzio Fiore, CEO and founder of Memori, an Italian company founded in 2017 with the goal of letting anyone create AI
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There are concepts we explain every week, in demos, meetings, and workshops. At some point we tried to condense them into a single illustration: on one side, the chaos companies experience when they adopt AI agents without foundations; on the other, the infrastructure that makes those same agents secure, useful,
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This week Memori completed the picture: with the arrival of ISO 9001:2015 (Quality) and ISO/IEC 27001:2022 (Information Security), the company now holds all six of the attestations it had set out to obtain. Together with the already-obtained ISO/IEC 27017:2021, ISO/IEC 27018:2020, ISO
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An AI agent is only as good as the systems it can access. An assistant that "knows everything" in the abstract is of little use, an assistant that can read policies on SharePoint, open a ticket in Dynamics 365, query the ERP, or check courses on the LMS
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During almost every demo, we show an agent reading Outlook, navigating SharePoint, pulling data from Dynamics, updating SQL Server, and generating a branded Excel report. People are impressed. And then comes the same question, every time: "Great. But what about our API? The internal management system, the order portal,
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A conversational agent that responds is useful. An agent that acts — sends emails, writes to a database, schedules jobs, queries other agents — is a different category of product. But the moment an AI can take real actions on real systems, the question is no longer «does it work?». The question
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On the night of June 12th, Italian time, the US government suspended Fable 5, the most powerful publicly available artificial intelligence model, for all non-US citizens. Not due to a malfunction. Due to a decree. Imagine a European company that had built a critical process on top of it.
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An AI agent is only as useful as the systems it can access. That's why at AIsuru we've built (and keep growing) a collection of over 20 MCP (Model Context Protocol) connectors, orchestrated by a proprietary gateway that handles security, identity, and permissions. What you see