In this episode of Copilot Connection, Zoe and Kevin are joined by Diana Wolfe, Head of Research & Strategy at Kyndryl, to explore one of the biggest challenges facing organisations today: the widening gap between AI ambition and AI implementation. Together, they unpack why so many companies struggle to realise value from AI investments, what human‑centred change looks like in an era of agentic AI, and how trust, psychological safety, and redesigned roles shape successful adoption.

The conversation covers everything from workflow automation myths and cognitive overload to organisational silos, identity shifts, and the realities of embedding AI into everyday work. Expect thoughtful insights, a few laughs (including designer chickens and the underpants gnomes), and practical guidance on how individuals, leaders, and change practitioners can navigate the next phase of AI‑driven transformation.

Tune in to learn why the future of AI isn’t just about technology—it’s about people, systems, and redefining what meaningful work looks like.

Takeaways

• AI implementation requires a holistic approach
• The integration of AI technology presents multifaceted challenges AI adoption is evolving rapidly
• Human systems integration is crucial for responsible AI implementation

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One of twelve mini episodes as we bring our interviews from MVP Summit.

Interviewee today - Darrell Webster

Darryl is a change manager and adoption specialist who likes creating videos and helping people make sense of technology.

Find out what he thinks about Copilot and the insights it can bring as well as the areas of concern he has.

Darrell (as a Service) Webster | LinkedIn
Darrell as a Service 🛎 (@DarrellaaS) / X (twitter.com)

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Happy new year to you all! In this episode, Zoe and Kevin take a short look at what happened with Copilot and with themselves in 2025, a short view on what they think and hope will happen with Copilot and AI in 2026 but focus most of the time on digging into the latest Microsoft Future of Work report that their science team has been making for the last 5 years. They explore themes such as AI judgment, collaborative AI, and the implications of inequality in the workplace amongst other things.

Takeaways

• Agent 365 has the potential to greatly impact organizational efficiency and control.
• Simplification in Copilot Studio and Chat enhances user experience and accessibility.
• Agents play a crucial role in simplifying complex AI functionalities.
• Fireside chats and workshops have been key highlights in community engagement.
• Recognition through awards fosters motivation and visibility in the tech community.
• The Future of Work report provides valuable insights into AI's impact on labor markets.
• AI judgment and perception can affect workplace dynamics and relationships.
• Collaborative AI is essential for enhancing teamwork and productivity.

Key links

Future of work report

Tailwind news

Salesforce refocussing roles

Jamie Teevan's keynote at ESPC

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For the first in a series of interviews from ESPC, we have Karuana Gatimu and Richard Harbridge from the expo floor at ESPC. Plus, the latest news including GA for Copilot for Service, info on a Copilot for Viva Glint and a reminder about our Custom Copilot Connection Challenge.

Announcing Microsoft Copilot for Service - Microsoft Dynamics 365 Blog

Microsoft Viva Glint + Copilot to analyze employee feedback at scale

AI-Driven Productivity and Creativity | LinkedIn

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Kevin McDonnell and Garry Trinder delve into the world of Model Context Protocol (MCP) and its implications for developers. We start with a starter overview of functionality of MCP and why it is important. However, we wanted to get beyond that initial view that is covered elsewhere and look at some of the challenges associated with using MCP and broader considerations that you need to be looking at. The conversation covers the importance of optimizing documentation for language models, governance in MCP usage, and strategies for getting started with MCP and then scaling.

Takeaways

• MCP is a universal approach to context in AI.
• MCP servers can execute actions beyond API calls.
• Optimizing documentation for LLMs is essential for effective AI integration.
• Trust and governance are critical in using MCP servers.
• MCP can significantly enhance productivity in software development.
• Building an MCP server can be straightforward and quick.
• MCP allows for local execution of actions, enhancing flexibility.
• The future of MCP involves more robust governance and control mechanisms.
• Organizations should develop a strategy for managing MCP servers.
• Experimentation with MCP can lead to unexpected benefits and insights.

Useful links

Introduction - Model Context Protocol

Getting started with Local MCP Servers on Claude Desktop | Anthropic Help Center and For Claude Desktop Users – Model Context Protocol （MCP）

Use MCP servers in VS Code

Community built Graph MCP Server - GitHub - merill/lokka: MCP (Model Context Protocol) for Microsoft 365.

Azure AI Search:

Full text search - Azure AI Search | Microsoft Learn

Vector search - Azure AI Search | Microsoft Learn

Hybrid search - Azure AI Search | Microsoft Learn

MCP for beginners course - GitHub - microsoft/mcp-for-beginners

MCP Dev Days 29th/30th July (and available on demand after) - MCP Dev Days | Microsoft Reactor

Microsoft MCP Lab - GitHub - microsoft/mcsmcp: Lab for creating an MCP Server and using it in Microsoft Copilot Studio.

Microsoft's MCP Server collection - GitHub - microsoft/mcp: Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration

CLI for m365 MCP server - GitHub - pnp/cli-microsoft365-mcp-server: Manage Microsoft 365 using MCP server

GitHub - dotnet/dev-proxy: Simulate API failures, throttling, and chaos — all from your command line.

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Second of twelve mini episodes as we bring our interviews from MVP Summit.

Interviewee today - Tom Morgan

Tom uses GitHub Copilot to develop things on Microsoft 365 platform, and finds it useful for taking out some of the tedious tasks that he already knows how to do as well as learning with it.

Listen to find out how he built using a new language to him and how Copilot may help junior developers.

Tom Morgan | LinkedIn
Tom Morgan (@tomorgan) / X (twitter.com)

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In this episode of the Copilot Connection, hosts Zoe Wilson and Kevin McDonnell discuss the latest updates in the Microsoft Copilot ecosystem, including a new feature called Copilot Labs (not Lab...), insights from the upcoming Microsoft Ignite conference, and the importance of AI integration in business. They also touch on the significance of empowering neurodivergent employees and the community's engagement in upcoming events. They also have a new AI generated summary - what do you think?

Links

• Introducing Copilot Vision
• Meet the new Copilot

Ignite sessions
Session catalog at https://ignite.microsoft.com where you can search for codes.

Build and extend agents with Microsoft Copilot studio | LAB433
Code-first development workshop for Copilot agents | LAB441
Extending M365 Copilot with Copilot agents: Best practices | BRK170
Part 1:2 Declarative Agents: Build Agents for Microsoft 365 Copilot | LAB445
Reinventing business processes with autonomous agents | BRK169
Smarter workflows with ServiceNow Now Assist and Copilot integration | ODFP974

Ground Microsoft 365 Copilot in your business knowledge | BRK275
Microsoft 365 Copilot advantages: How does it compare with other AI solutions | BRK276
SharePoint content management reimagined with Copilot | BRK279
Unlock smart collaboration with Microsoft Teams | BRK280

Revolutionizing Employee Experience with AI | BRK283
The Future of Power Platform: Intelligent Apps | BRK171

From Copilot to code-first: the power of Microsoft Fabric and AI | THR618
Bring on-device ML to enterprise apps with Windows Copilot Library | BRK303
Copilot+ PCs: Your new superpower | THR650
Mastering custom plugins in Microsoft Security Copilot | THR653
Build real-time collab experiences with Fluid and Copilot | LAB440
Empowering neurodivergent employees with Copilot | BRK297

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In this episode of the Copilot Connection, Kevin McDonnell is joined by Garry Trinder, a developer advocate at Microsoft focused on Microsoft 365 and Copilot. With Microsoft Build taking place this week, they recap the Copilot related news that came out with a special focus on extensions and custom copilots. Plenty of chat about why you should extend, the different ways to extend and when to extend or go custom. Plus find out how many times Copilot was mentioned in the first day keynotes thanks to Vlad Catrinescu.

Useful links:

M365 Conf sessions - some online now including the age of copilots -Introducing the Community News Desk with essential content from Microsoft 365 Community Conference

Vlad Catrinescu comedy recap Microsoft Build 2024 Keynote Recap in under 5 minutes!

Book of News - https://news.microsoft.com/build-2024-book-of-news/

GPT-4o demo by Seth Juarez - Conversational website: Satya Nadella at Microsoft Build 2024

Copilot+PC - Introducing Copilot+ PCs - The Official Microsoft Blog

VS Code for Education - https://vscodeedu.com

Note that you need a Copilot license to use this with Copilot Studio - Use graph connections with knowledge sources - Microsoft Copilot Studio | Microsoft Learn

https://aka.ms/extendcopilotm365/decide

Useful Build sessions:

BRK 150: Developers guide to customizing Copilot - slides available too
BRK 151: Developer deep dive on building plugins for Microsoft Copilot
BRK203: Building a copilot: Azure AI Studio or Copilot Studio