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The new Copilot: from AI assistant to digital co-worker
Written by Gregor Blaj, October 2026
Having had some time to digest the new Microsoft Copilot, it’s safe to say we’ve come a long way in a short space of time. Recent Microsoft announcements introduce major updates including Home, Code, Autopilot, integrated Office experiences, enhanced search, agent capabilities, and expanded model choice. But what does that mean for you?
What began as an AI assistant for drafting emails, summarising meetings, and analysing documents is now much more powerful: a platform for intelligent agents collaborating, automating. For you, that means driving out the work you don’t like doing, so you can focus on the more interesting tasks.
These updates represent a significant shift in how AI can be used across your business. It’s tied to the continuation of ‘digital transformation’, essentially, and moves beyond personal productivity gains when – and here’s the crucial bit – properly taken advantage of.
What Has Changed?
1. Copilot Becomes a Single AI Workspace
Microsoft has introduced Home, a new central hub that brings together chat, collaboration, files, documents, agents, and business context into a unified Copilot experience. You can start work, continue existing projects, access recent activity, and collaborate with AI without constantly switching between applications (which is probably one of my personal biggest bugbears with modern work tasks).
This is complemented by deeper integration with Word, Excel, and PowerPoint, so you can create and edit documents directly within the Copilot experience.
2. From Chat to Action
One of the most important developments is the transition from AI that answers questions, to AI that does things. As in executes tasks.
Microsoft 365 Copilot can now trigger workflows, approvals, and business processes through integrations with Power Automate and connected systems. We call this the move from ‘Assistant to Agent’, where Copilot increasingly acts on behalf of users rather than just responding to prompts.
Examples include creating tickets, updating CRM records, triggering approval processes, or managing routine operational workflows.
What that looks like in practice is that instead of asking Copilot ‘How do I do this?’, go ahead and ask, ‘Do this for me’. Remember, you don’t have to say ‘please’ or even ‘thank you’, as that fruitlessly eats up tokens.
3. The Rise of AI Agents
Perhaps the most significant change is Microsoft's focus on agents, specialised AI assistants combining business knowledge, organisational data, defined instructions and connected business systems. When Copilot first came out, one of its distinct advantages was (and is) its position at the heart of the 365 and broader Microsoft ecosystem. This is that, on steroids.
Agents are the next stage of AI maturity, moving from answering questions to planning, executing, and coordinating tasks across multiple systems. The new Autopilot capability extends this further by allowing AI to work persistently in the background, progressing delegated tasks while you focus elsewhere.
4. Better Search and Enterprise Knowledge
Microsoft has integrated conversational AI directly into enterprise search. You move seamlessly from finding information to asking follow-up questions, synthesising insights, and generating content without switching between separate search and chat experiences.
This brings organisational knowledge closer to employees at the exact moment they need it, addressing the issue of knowledge management that has always plagued everyone working in every business (‘where is X? How do I find Y’).
For those with large SharePoint environments, documentation repositories, knowledge bases, and intranets, this improves information discovery and decision-making, without having to constantly hassle your colleagues.
5. More AI Models, More Choice
Microsoft has expanded the range of AI models available within Copilot, including newer OpenAI models and Anthropic Claude models for selected workloads. This means greater flexibility to match the right model to the right business task…it’s another useful step towards managing costs.
Why it matters
Most organisations are still early in their AI journey, with staff experimenting with prompt writing, content creation, and meeting summaries. These use cases are valuable, but they’re also just the start. The latest Copilot updates demonstrate that the real opportunity lies elsewhere. Higher order value, coming from process automation, knowledge management, operational efficiency, employee self-service, and the necessarily-nebulous-but-nevertheless-crucially-important agent-driven workflows (we’ve rolled our Business Process Automation division into our AI division for this very reason).
This is where measurable business outcomes become apparent, rather than the isolated personal productivity gains to which we’ve largely been limited.
Examples can include customer service agents that search policies, retrieve information, draft responses, and escalate issues when needed. Staff spend less time searching (nobody loves that) and more time solving customer problems.
Or, for Service Desks, AI agents can triage requests, create tickets, gather information, trigger workflows, and provide automated updates. Yes, this is applied within Lancom itself.
The real question, then, particularly if you are already on the Microsoft Copilot journey, must be ‘how can we take advantage of the updates’. And the answer to that is ‘we’re here to help’. Please get in touch.
About Gregor Blaj
Gregor Blaj is the Technical Director at Lancom Technology with expertise spanning systems engineering, project management and customer relationship management. Gregor is also an AWS Certified Solutions Architect Professional and an Azure Solutions Architect Expert.
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