Category: Copilot
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You’re hearing the word “agent” everywhere lately… and if you’re not deep in AI, it can feel like the tech industry suddenly invented a new buzzword overnight. So let’s simplify it. 👇 What is an AI agent? At its simplest: 👉 An agent is software that can take actions to achieve a goal. Not just…
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If you’ve ever been a part of a backlog planning session for business innovation, automation or AI envisioning (like I regularly run), you know the moment. We spend hours with the business: By the end, some expert (like me) may inevitably ask: “So… is this a low-code solution or an AI solution?” And that’s where…
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AI is everywhere right now. But adoption? That’s where most organizations stall. If you’re leading AI conversations in your business, you’ve probably noticed something: Everyone wants AI. Few are ready for it. That’s exactly why the Microsoft AI Adoption Framework exists. What is the AI Adoption Framework? The AI Adoption Framework is a structured approach…
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If you are planning, operating, or governing Copilots, the single most important business concept to understand is Copilot Credits. They turn every kind of agent “work” into a common unit you can forecast and control. Since September 1, 2025, credits replaced “messages” as the billing currency, which makes it much easier to compare scenarios, set…
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As enterprises move from simple copilots to networks of autonomous agents operating across applications, clouds, and business functions, governance, interoperability, and security become critical concerns. The Agent2Agent (A2A) Protocol has emerged as the industry’s first open, vendor‑neutral standard designed specifically to address these challenges. Creating a common language that allows AI agents to collaborate securely…
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As organisations begin deploying autonomous AI agents into real operational roles, one question matters more than almost any other: What happens when something goes wrong? Not just bugs or bad prompts, but outages, regional failures, or service disruptions. This is where BCDR (Business Continuity and Disaster Recovery) becomes critical, especially in the context of Azure…
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AI assistants are useful. Autonomous agents are a step change. If Copilot is the colleague you ask for help, autonomous Copilot agents are the colleagues who just get on with the work. Not in a sci-fi way. In a very practical, enterprise-ready way. This article is about: First: What Is an Autonomous Copilot Agent? Autonomous…
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There’s a common view in tech: once you build an AI model or an agent, the hard part is done. But any technology leader knows the real challenge begins after deployment, especially with Generative AI, where outputs aren’t predictable facts but fluid language and reasoning. That’s why observability (the ability to see, understand, evaluate, and…
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AI projects rarely fail because the technology isn’t good enough. They fail because the problem wasn’t clear, the data wasn’t ready, or expectations didn’t match reality. After working with organisations at very different maturity levels, one thing is consistent:successful AI projects follow a lifecycle, whether people realise it or not. Here’s what that lifecycle really…
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🚀 1. Microsoft Copilot Isn’t Just GPT-Powered Anymore Until recently, Microsoft 365 Copilot and Copilot Studio leaned heavily on OpenAI’s GPT models (including the latest versions like GPT-5). Now, Anthropic’s Claude models (such as Claude Sonnet 4 / 4.5 and Claude Opus 4.1) have been added as optional model choices in key Copilot experiences. This…