Recent Discussions
Learning Agent by Microsoft: The Future of Personalized AI-Powered Employee Upskilling Has Arrived
In today’s rapidly evolving workplace, one challenge continues to stand out for organizations across industries: keeping employee skills aligned with changing business needs. Traditional training programs often struggle to deliver relevant learning experiences at the right time, leaving employees overwhelmed with generic courses that may not match their career goals or daily responsibilities. https://dellenny.com/learning-agent-by-microsoft-the-future-of-personalized-ai-powered-employee-upskilling-has-arrived/
Can Microsoft Frontier Program Copilot Cowork Agent Delegate Tasks to Other Copilot Agents?
Hi everyone, I'm currently exploring the capabilities of Copilot Cowork that is available through the Microsoft Frontier Program, and I'm trying to understand whether a multi-agent orchestration pattern is officially supported. My Use Case I want users to interact with only a single, central Copilot Cowork agent. For example: User asks the Cowork agent to create or update a Jira ticket. Instead of Cowork handling the Jira operation directly, it delegates or hands off the task to a dedicated Jira Copilot Agent. The Jira agent performs the required actions and returns the result. The Cowork agent then presents the final response back to the user. Similarly, I would like to have specialized agents for: Jira ServiceNow Knowledge Management HR Operations Internal IT Support Other business systems The goal is to have Cowork act as an intelligent orchestrator/router while specialized agents handle domain-specific operations. Questions Is agent-to-agent delegation or handoff officially supported in Copilot Cowork (Frontier Program)? Can Cowork directly invoke another Copilot Studio agent? Is there any built-in multi-agent orchestration framework available today? If this is supported, what is the recommended architecture and implementation process? If it is not currently supported, what workarounds are people using? Power Automate? Agent as a tool/action? Custom APIs? Azure AI Foundry / Azure AI Agent Service? Other approaches? I'm specifically looking for guidance from anyone who has worked with Copilot Cowork in the Frontier Program, since the documentation and public examples seem to focus mostly on standalone agents. Any insights, architecture diagrams, documentation links, or real-world experiences would be greatly appreciated. Thanks!Designing Multi-Agent Systems in Copilot Studio
Modern organizations rarely solve complex business problems with a single AI assistant. Customer support, IT operations, sales, HR, and analytics teams all have different goals, data sources, and workflows. This is where multi-agent systems become valuable. Instead of relying on one large, general-purpose agent, a multi-agent architecture uses several specialized agents that collaborate to complete tasks efficiently. https://dellenny.com/designing-multi-agent-systems-in-copilot-studio/Copilot Studio Pricing Explained for Enterprises: Licensing, Costs, and ROI in 2026
As enterprises accelerate their AI adoption strategies, Microsoft Copilot Studio has emerged as one of the most powerful platforms for building custom AI assistants, automating business processes, and creating intelligent customer experiences. Whether you’re developing internal employee copilots, customer support agents, or workflow automation tools, Copilot Studio provides a flexible environment to create AI-powered solutions tailored to your business needs. https://dellenny.com/copilot-studio-pricing-explained-for-enterprises-licensing-costs-and-roi-in-2026/Copilot Connectors >Azure DevOps Work Items >Add Property
Hi I have setup the Azure DevOps Work Item connector and all is working OOTB. However when I try to 'Add a new source Property' and add for example 'TargetDate' when I publish the schema change it errors with: Schema failed to publish with error [Removal existing property is not allowed.] I havent removed anything just added. Anyone else experienced this? Many thanks
PowerShell: Export Microsoft 365 Copilot Agent Inventory and Availability Assignments
Hi everyone, I needed a way to export Microsoft 365 Copilot agent inventory and availability assignments from the Microsoft 365 Admin Center, but couldn't find a built-in export option. After investigating the admin portal's network traffic, I built a PowerShell script that uses the same internal API consumed by the Microsoft 365 Admin Center to export all Copilot agents to CSV. ### Features - Exports all Microsoft 365 Copilot agents - Automatically follows pagination (`nextLink`) - Exports: - Agent Name - App ID - Title ID - Publisher - Created By - Availability Settings - Allowed Users / Groups - Assignment Information - Deployment Information - Version Information - Timestamps - CSV output ### Tested The script has been tested against a tenant containing 482 Copilot agents and successfully exported the complete inventory. ### GitHub https://github.com/gwestergren/M365-Copilot-Agent-Inventory ### Notes - Uses an authenticated browser session cookie from the Microsoft 365 Admin Center. - Uses the same internal API currently consumed by the admin portal. - This is an undocumented API and Microsoft may change it at any time. Feedback, testing results, and improvements are welcome. Here are some screen shots: output to csv Successful run of the script
Has anyone seen Excel workbooks become corrupt after using M365 Copilot to summarize data?
We’ve run into an issue twice where a user opened an existing Excel sales workbook, used Microsoft 365 Copilot in Excel to summarize/analyze the data, received the response successfully, and then later could no longer open the original workbook because Excel reported it as corrupt. Internally, this has been reported as happening on some files but not all, and it has occurred twice so far. I’m trying to determine whether this is: a known issue with Copilot in Excel a workbook-specific problem related to file location/sync/versioning or something tied to workbook structure I did find public reports of related Excel Copilot issues — including Copilot crashing in Excel, failures that seem specific to certain workbooks, and Copilot-created Excel files being reported as invalid/corrupt — but I have not yet found a clear Microsoft-hosted thread describing this exact scenario with the original existing workbook becoming corrupt after summarization. If anyone has seen this, I’d appreciate any insight on: whether Microsoft has acknowledged a known issue whether this points to specific workbook features/structures whether there are logs or diagnostics that help isolate root cause whether there are best practices to reduce the risk
Succession Planning in Microsoft 365?
Hi everyone. I'm looking to implement some of our core HR practices like performance management, talent reviews, natively inside our Microsoft 365. The one that challenges me the most currently is succession planning. Do you think I can set something up where managers can evaluate succession candidates through Copilot, build succession plans on SharePoint, etc? Does anyone have any experience with this? I am also open to suggestions for any succession planning apps or software if doing it manually could be too complicated. However in that case, it would have to be a pretty native integration.Follow Microsoft Build Live for the latest updates and announcements
Microsoft Build is happening now, and the live blog is a great way to stay up to date on the latest announcements, demos, and key moments as they happen: 👉 Follow Microsoft Build Live What are you most interested in learning more about from Build this year? 👀How to Build Your First AI Agent in Copilot Studio in 15 Minutes
Artificial Intelligence is no longer reserved for data scientists and software developers. With tools like Microsoft Copilot Studio, anyone can create intelligent AI agents that automate tasks, answer questions, and improve productivity without writing complex code. https://dellenny.com/how-to-build-your-first-ai-agent-in-copilot-studio-in-15-minutes/Prompt Lab: Three Critical Bugs That Make It Unusable as a Prompt Management Tool
Product: Microsoft 365 Copilot — Prompt Lab (accessed via ... button in Copilot Chat) Date: June 1, 2026 Environment: M365 Copilot, Web (Edge), Work IQ mode Bug #1: Empty State Crash Steps to reproduce: Open Prompt Lab via the ... button in Copilot Chat Ensure "Your saved prompts" contains zero prompts (either as a new user or by deleting all saved prompts) Observe the result Expected behavior: An empty state placeholder (e.g., "You haven't saved any prompts yet.") Actual behavior: The entire Prompt Lab panel throws a red error banner: "Something went wrong. Please close the dialog and try again later." The "Your saved prompts" category does not render at all. The panel only shows Microsoft's preset categories (Prompt topics, Agent prompts). Why this matters: An empty container is a valid state — it is literally every new user's initial state. A UI component should never crash because a list has zero items. This is a null/empty array handling failure that should have been caught by basic QA. Bug #2: Search Does Not Index User's Saved Prompts Steps to reproduce: Save a custom prompt with a distinctive title (e.g., "AI每日新闻") and body containing the keyword "AI" Open Prompt Lab Use the search box at the bottom to search for "AI" Expected behavior: Search results include the user's saved prompt alongside Microsoft's preset prompts. Actual behavior: Only Microsoft preset prompts matching "AI" are returned (e.g., "Stay on top of AI," "Prompt Compliance"). The user's own saved prompt — whose title and body both contain "AI" — does not appear in the results. Why this matters: The search box creates a false expectation that it searches all prompts. In reality, it only indexes Microsoft's template library. This means as a user accumulates more saved prompts, the only way to find one is manual scrolling. A search function that excludes user-created content is fundamentally broken by design. Bug #3: Saved Prompts Lost During Migration Context: The standalone Copilot Lab / Prompt Gallery app was retired on July 15, 2025, and its functionality was merged into the built-in Prompt Lab within Copilot Chat. What happened: All previously saved prompts from the old Copilot Lab app are gone. They do not appear in the new Prompt Lab's "Your saved prompts" section. There was no migration notice, no export tool for end users, and no recovery path. Why this matters: Users invested time curating and refining their prompt libraries. Silently dropping that data during a platform migration — without warning, backup, or migration tooling — is a breach of user trust. Summary These three issues compound into a single conclusion: Prompt Lab is currently non-functional as a prompt management tool. Capability Status Reliable storage ❌ Data lost during migration Empty state handling ❌ Crashes when empty Search / retrieval ❌ Does not index user content Displaying Microsoft templates ✅ Works The only feature that works correctly is showcasing Microsoft's own preset prompts. For a tool whose entire purpose is to help users save, organize, and reuse their own prompts, this is an unacceptable state of quality. I'd strongly recommend the team prioritize: (1) proper null-state handling, (2) including user prompts in the search index, and (3) investigating whether migrated prompt data can be recovered from Substrate.Surface Copilot+ PCs: Microsoft’s Bold Step into the Future of AI Computing
The personal computer has evolved dramatically over the past few decades. From simple productivity machines to powerful devices capable of handling creative workloads, gaming, and business operations, PCs continue to redefine what users can accomplish. Now, Microsoft is ushering in a new era with its Surface Copilot+ PCs, a lineup designed to bring artificial intelligence directly into everyday computing experiences. https://dellenny.com/surface-copilot-pcs-microsofts-bold-step-into-the-future-of-ai-computing/How Microsoft Copilot Studio Fits Into the Power Platform Ecosystem
Artificial intelligence is no longer just a futuristic concept reserved for large enterprises with deep technical teams. Today, businesses of all sizes are searching for practical ways to automate repetitive tasks, improve customer experiences, and empower employees with smarter tools. This shift is exactly where Microsoft Copilot Studio enters the picture. https://dellenny.com/how-microsoft-copilot-studio-fits-into-the-power-platform-ecosystem/
Feature Proposal: OS-level Intelligent Task Organizer (Windows + Copilot)
A Idea about Intelligent Tasks organizer, I have to remember a lot of things during the team meetings like what is been said (we'll schedule a call or follow up etc.,) and what has been communicated in the emails (I'll get back to you after 2 weeks, or call us after two weeks) , And notes that I took in the notepad, or notepad ++,or sticky notes, or word, or one note. I want to chronologically display tasks on the right hand side of the laptop screen just like sticky note and it shall display all tasks one by one, it shall remove tasks are already complete (email sent with confirmation). and arrange, adjust every few mins according to priority/time or user added priority. App shall display small icon (just like chat) upon clicking it shall display ordered list of tasks. and desktop apps like teams/note/word/notepad++,sticky notes can participate by default or other apps like notepad++ can be onboarded manually in to the app. You can use a local model which infers the meaning of “I’ll call you in two weeks” - who is “I”? you or them? “Let’s follow up later” - task or casual statement? “I sent it” - which task did this complete? You can use a local model such that Corporate Teams/Outlook access may allow by corporate policy. Need to put much emphasis on false positives if the app keeps inventing tasks. Do not need to bring big LLMs in to the picture for inference, because of corporate policies may not allow. Microsoft provides operating system,office 365, tools with copilot, the inference can be possible because of all apps/content can be accessible at os level. Problem: Users capture tasks across multiple tools: Teams meetings and chats Outlook emails Notes (OneNote, Notepad, Sticky Notes, Word) Tasks become fragmented, untracked, and often lost. Proposed Solution: A lightweight system-level task layer integrated with Windows + Copilot that: Core Features Automatic task extraction From Teams, Outlook, notes, and user text Example interpretations: “I’ll call you in 2 weeks” “Let’s follow up later” Context-aware inference (local model) Identify: Task owner (“I” vs “you”) Priority signals Deadlines Minimize false positives Chronological task timeline Tasks auto-organized by: Time Priority Recency Floating task panel (desktop UI) Docked widget (like Sticky Notes or chat bubble) Expand/collapse view Always visible option Automatic task lifecycle tracking Detect completion: “Email sent” “File shared” Remove or mark complete automatically Continuous re-prioritization Adjust every few minutes based on: New inputs Deadlines User behavior Privacy-first architecture Use local models (SLM) instead of large cloud LLMs Enterprise admin control for data access Why this matters: Millions of users manually track tasks across fragmented tools, losing productivity daily. This feature would unify task understanding across the OS and M365 ecosystem.The Difference Between Declarative Agents and Autonomous Agents in Copilot Studio
Artificial intelligence is rapidly transforming the way businesses automate tasks, improve customer experiences, and increase productivity. One of the most exciting platforms leading this transformation is Microsoft’s Copilot Studio, a low-code environment that enables organizations to create intelligent AI-powered assistants and workflows. https://dellenny.com/the-difference-between-declarative-agents-and-autonomous-agents-in-copilot-studio/Topics and Nodes in Microsoft Copilot Studio: The Foundation of Intelligent Conversations
Artificial intelligence is changing the way businesses communicate with customers and employees. From automating support requests to handling internal workflows, conversational AI tools are becoming an essential part of modern digital transformation. One platform leading this evolution is Microsoft Copilot Studio. https://dellenny.com/topics-and-nodes-in-microsoft-copilot-studio-the-foundation-of-intelligent-conversations/Enterprise AI Agent Architecture Patterns Using Copilot Studio
Artificial Intelligence is no longer limited to chatbots answering customer queries or virtual assistants scheduling meetings. Enterprises are now building intelligent AI agents capable of automating workflows, orchestrating business processes, integrating enterprise systems, and assisting employees in real-time. As organizations scale their AI adoption, architecture becomes the defining factor between isolated experiments and enterprise-wide transformation. https://dellenny.com/enterprise-ai-agent-architecture-patterns-using-copilot-studio/Deep Experience with Copilot
Translated from Chinese. Preface I only have a junior college degree, and I work as a lighting product manager — a field completely unrelated to AI. Yet that is precisely where the value lies: if I can do it, so can you. From March 6, 2026, when I first encountered Copilot, until now, I have deeply experienced Copilot Chat, with over 10 million Chinese characters of interactive text. I have also deeply experienced Copilot Tasks, with over 1.5 million Chinese characters of interactive text. At the same time, I have conducted extensive interactions on both Gemini and Deepseek. This has given me a very deep hands-on understanding of AI. Currently, I use AI extensively in my daily life, and it effectively improves my work efficiency. If you are interested in these aspects, you can follow me. What Is AI? A Machine That Thinks My conclusion is this: AI is a machine that thinks. You can understand AI as "a person who can think and has extremely broad knowledge." It can turn you into a "beginner" in a field within ten minutes, and a "knowledgeable person" in that industry within an hour. For example, I spent an hour understanding the wedding industry chain: ceremonies, wedding dresses, wedding photos, wedding planning, hotels… which parts are essential needs, and which are "IQ taxes." If you searched for this content yourself, you would be drowned in the noise of fragmented information across the internet. In contrast, AI can help you integrate and build structured knowledge in a short time. Throw these questions at AI, go back and forth a few times, and you will feel the efficiency of learning with AI. But we must also be careful: not everything that looks smart is AI. Although many things online claim to be "AI-powered," some are just fixed logic — for example, turning on the heater when it gets cold. That is just a program. AI, on the other hand, does not require you to write rules. You only need to say, "the temperature has changed, you should take corresponding measures." It will think for itself, integrate knowledge, and then tell you whether you should put on clothes or turn on the air conditioner — both are possible. It can think — that is the real AI. Much of what is called AI on the market today is essentially just automation. Food assembly lines could operate automatically decades ago. Would you call that AI as well? Will AI Replace My Job? Transform into a "Car Driver" of the New Era Many people worry that AI will become so powerful in the future that it will replace them. But in fact, history has already presented us with such an era many times — for example, the advent of the steam engine, the automobile, and automation. Society still progressed, and the population continued to grow. Take the transition from the horse-drawn carriage era as an example. The automobile replaced the "carrying value" of the horse, not the horse itself. Nor did carriage drivers disappear the moment cars appeared. Instead, some of them transitioned into becoming car drivers. AI will not replace you. But it will be used by those willing to learn to replace "the you who does not learn." A few years from now, if you only complain that "AI took away my job" — what does that have to do with AI? AI has an extremely low learning cost and improves very quickly. There is no need to feel too much pressure. Starting to learn now is not late at all. Learning AI: How You Express Yourself Matters More From my experience and journey, I can tell you directly — learning AI has nothing to do with knowledge of programming, math, English, or similar subjects. Using AI well requires more of an ability to express yourself, rather than specific domain knowledge. Over‑relying on deterministic thinking, when facing large language models with emergent and fuzzy properties, becomes a self‑limiting constraint. As long as you can speak, AI will break down and process your requests on its own. I cannot write code. I only tell it, "I want this effect," and it can achieve it. This may sound a bit mystical right now. AI is not a magical dragon — it cannot fulfill your wish of "give me 1 million dollars." But if you say, "give me a picture of a dog," AI can still do that. Is Using AI Safe? How to Balance Efficiency and Security Here we need to discuss how AI works. AI generates content based on: the information you provide + world knowledge + reasoning. If you reveal too much and are overly vigilant at the same time, you will perceive it as dangerous. You are wearing the uniform of a well‑known local company, speaking the local dialect. If you also casually mention your commuting route and how long it takes, a person with strong reasoning skills could even accurately guess which residential complex you live in. You think they are "watching you," but in fact, all that information was voluntarily provided by you. As for privacy concerns, that varies by platform. AI is a category, not a single product. Security depends on the platform you choose. Just like cloud storage, social media apps, or even mobile phones — who can be 100% certain they will never be attacked? The main point I want to make is that AI is just one form of software. If you are truly very worried, the best approach is simply not to give AI any important information. Are AI's Answers Accurate? Understand the Boundary Between Restructuring and Inference Many people who lack independent thinking treat everything AI says as gospel. In reality, the way (text‑based) AI works can be roughly divided into two types: Restructuring and summarization — this is the most basic capability. The information here all comes from existing knowledge. AI is merely performing a summary. Inference and guessing — this is AI's core capability. It makes guesses and inferences about phenomena based on existing knowledge and patterns. But it is only inference, not reality. Example: I buy a bag of apples. AI thinks about this bag of apples. Restructuring and summarization: This bag of apples weighs 2 kg. It contains 10 apples. 9 are ripe, and 1 is not yet ripe enough. This is a summarizable reality. Inference and guessing: These apples are all sweet and taste good. This part is entirely inference and guessing. Because no one has tasted them — even if one apple is sweet, there is no way to guarantee every single apple is sweet. Regarding control over AI's information, users must have their own standard of judgment. If truly unsure, ask AI to provide the source of the information. Conclusion: Understand the Car Before the Streets Are Full of Cars AI is truly a beneficial tool of our time. It is very useful and very quick to learn. In the future, its importance may become as great as the internet's. And right now, AI is still in its early stages. If you want to learn, now is a very good time. Just like the earlier example of the horse‑drawn carriage and the car. When you see a car, you should already consider learning about it — not wait until the streets are full of cars before you think about acquiring knowledge related to them.10 Real-World Copilot Studio Use Cases That Save Teams Hundreds of Hours
Artificial intelligence is no longer a future concept reserved for enterprise tech giants. Businesses of all sizes are now using AI copilots to automate repetitive work, improve customer experiences, and help employees become more productive. One platform that is quickly gaining attention in this space is Microsoft Copilot Studio. Organizations across industries are exploring practical copilot studio use cases to reduce manual work and streamline operations. From customer support automation to internal HR assistance, Copilot Studio allows companies to build intelligent AI agents without requiring advanced coding skills. https://dellenny.com/10-real-world-copilot-studio-use-cases-that-save-teams-hundreds-of-hours/Copilot Cowork should not be prompted like Copilot Chat...
I keep seeing the same pattern with clients: they talk to Copilot Cowork the same way they talk to Copilot Chat. They write short, vague, immediate requests. The result is predictable: they get an answer, not real work executed across Microsoft 365... With Cowork, the approach has to change. You should not ask for quick help. You should describe the result you want produced. Cowork is designed to handle multi-step work, create deliverables, act across Microsoft 365, and ask for approval before sensitive actions. The right habits are simple: start with the deliverable you expect: a document, an email, a meeting, a Teams message give the relevant context: project, timeframe, people, and sources to use; define the output clearly: format, recipient, destination; add constraints: tone, length, language, deadline. In practical terms, do not say: “prepare my meeting.” Say: “analyze the last 15 days of emails and Teams messages, create a one-page Word summary with the risks and decisions to make, then send it to the participants.” That is the real difference: with Copilot Chat, you get an answer. With Copilot Cowork, you need to ask for an outcome.
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- Meet Learning Agent in Microsoft 365 Copilot Today we’re excited to announce the general availability of Learning Agent in Microsoft 365 Copilot, to help every employee build Copilot and AI sk...Jun 02, 2026
- Welcome to the May 2026 edition of What's New in Microsoft 365 Copilot! Every month, we highlight new features and enhancements to keep Microsoft 365 admins up to date with Copilot features that...May 29, 2026
