Accelerating the Flow of Learning
By Vince Frankson, Authentica Solutions | Guest Post via the Microsoft Education Blog Education technology leaders are not short on vision; they are short on time. They know exactly what their Microsoft 365 environment is capable of. What they deserve are better tools, smarter automation, and a partner that shows up ready to serve. At Authentica Solutions, we pride ourselves on our culture of servant leadership, not just as a slogan, but as our guiding principle. Our mission is to support and serve district technology teams, ensuring that technology enhances their valuable work rather than making it more complex. Everything we build is organized around one purpose: accelerating the flow of learning. Not technology for its own sake... tools and services focused at getting teachers back to teaching, students back to learning, and district leaders back to the decisions that matter most. With the school year winding down and Back to School planning already on the horizon, there is no better moment to look at where your Microsoft 365 environment stands, and how the right tools and the right team can compress your timeline, free your people, and make this the smoothest Back to School launch yet. District Technology Teams Deserve Better Tools K-12 technology leaders oversee complex systems, sometimes across multiple campuses, and support a wide range of users. While Microsoft 365 offers advanced features, many remain underused due to the time and expertise required for full implementation. Microsoft’s School Data Sync (SDS) is a great example. It is a genuinely powerful free service that automates the flow of student roster and identity data from your Student Information System (SIS) into Microsoft Entra ID, provisioning Teams classrooms, Intune device groups, SharePoint sites, and OneNote Class Notebooks automatically, at scale. The platform is exceptional. Fully configuring it, keeping it healthy across an academic year, and extending its value into the rest of the data ecosystem is specialized work that deserves specialized support. Authentica addresses this gap by providing support so school IT teams can focus on high-impact tasks, helping educators and students achieve more. Authentica seed™: Built to Accelerate the Flow of Learning Authentica seed™ is Authentica’s Education Intelligence Cloud Service, designed to streamline learning by enabling clean, automated, bidirectional data pipelines. This allows teachers to access rosters quickly, students to begin learning immediately, and administrators to monitor instruction in real time, accelerating progress for everyone. Getting Your Data into Microsoft 365 seed™ sits between your SIS and SDS, handling data preparation, mapping, and delivery so your team can focus on higher-value work. Districts that previously invested significant time in validation cycles and configuration troubleshooting are reaching full value in a fraction of the time. Automated SIS-to-SDS delivery with built-in validation, so errors are caught before they ever reach your tenant. Support for OneRoster API and CSV formats across all major SIS platforms, meeting your district where it already is. Automatic provisioning of users, classes, and groups across Microsoft Entra ID, Teams, SharePoint, Exchange, and Intune for Education. Manage Student Age Groups to limit or support access to Microsoft Copilot for students 13+. Every hour returned from focusing on the data pipeline is an hour returned to learning. That is Cloud with Purpose. Getting Your Data Back Where It Belongs Learning does not stop at the edge of Microsoft 365, and neither should your data. seed™ closes the loop by moving grade data, assessment data, and engagement signals back to the platforms that need them, automatically. Back to your SIS: Keeping your system of record current and authoritative without double grade entry. To your Analytics platform: Giving administrators and instructional coaches visibility into what is working, event making Microsoft 365 activity visible, without waiting for manual exports. Building your dream data estate: What if you could combine your academic and instructional data, your operations and staff data, and your financial data into a single place? What if you could have it prepped and ready so you can ask questions with Copilot and / or AI Agents. Which schools have the most students off track right now? Top 5, and why. Where are we spending the most with the weakest results? Top 3. One connected data ecosystem. Compounding the return on every platform investment your district has made and accelerating the flow of learning throughout. UsageIQ™ Microsoft 365 Edition: Giving Leaders the Visibility They Deserve District technology leaders make consequential decisions about licensing, training, and support every year. They deserve data that makes those decisions clear. Authentica UsageIQ™ Microsoft 365 Edition was built to provide exactly that: a straightforward, actionable picture of how your Microsoft 365 environment is being used across the organization. Not a consultant engagement. Not a manual pull from the admin portal. A purpose-built, single view of your tenant that tells you what you need to know, when you need to know it. App-by-app usage across your tenant: Teams, SharePoint, OneDrive, Exchange, OneNote, and more, in one place. School-by-school and role-based breakdowns: See where adoption is strong and where targeted support would unlock real value. License utilization insights: Ensure every seat is earning its value and renewal conversations are grounded in actual usage data. Back to School readiness views: Identify accounts and configurations that need attention before day one, not after. When technology leaders can see clearly, they lead confidently. That visibility is not a luxury. It is what great tools are supposed to deliver. Managed Services for Microsoft 365: A Team That Has Been Here Before At Authentica, we deliver Managed Services with a servant leadership mindset. We're not just a helpdesk, our team has years of experience at Microsoft, having built education solutions like SDS, Teams for Education, and Graph APIs. We support your district as an expert extension to handle critical Microsoft 365 tasks efficiently, allowing your technology staff to focus on their key responsibilities. What Managed Services for Microsoft 365 Covers End-of-Year close support for SDS expiration management, tenant cleanup, graduating account archiving, and identity hygiene, handled on time and on spec so your team can close the year cleanly. Back to School launch for new year SDS configuration, classroom provisioning, device group refresh, and Conditional Access review, so teachers walk into a working environment on day one. Ongoing SDS health monitoring and proactive troubleshooting, so issues are resolved before they become incidents Microsoft Entra ID and identity management support across the full user lifecycle. Teams for Education configuration, governance, and adoption enablement. Intune for Education device policy and deployment support. Copilot readiness assessment and enablement, so your district is positioned for AI-powered learning when you are ready to move. This is what it looks like when your Microsoft 365 environment has a team behind it that is fully committed to your success, not just at launch, but every day. End of School Checklist: Five Things Worth Doing Before Summer Break These are the actions that make Back to School smoother, faster, and less reactive. Your team knows this; this is a reminder of what is worth prioritizing before the calendar turns. Audit Microsoft Entra ID for inactive and graduating accounts. Clean identities now mean a cleaner, more secure tenant heading into the new year, and fewer licensing surprises at renewal. Review your SDS sync health. Check error and warning logs now. Small data issues that are easy to address in the spring become August emergencies. Get ahead of them while there is room to breathe. Check your Microsoft 365 license utilization. If you are on A3 or A5, are those features actively working for your district? UsageIQ™ Microsoft 365 Edition can show you the full picture and give you a clear story heading into renewal season. Archive Teams classes from the current year. Establish your retention and archival approach before the new year roster drop. A clean tenant makes everyone faster, IT, teachers, and students. Plan your Back-to-School timeline now. Microsoft School Data Sync (SDS) provisioning for a large district takes time. Build in buffer, engage your support resources before August, and set your team up to launch the year confidently instead of reactively. We Are Here to Serve Authentica Solutions is offering a complimentary Microsoft 365 Readiness Assessment for districts that want a clear picture of where they stand before the new year begins. This is a straightforward conversation with our team, people who have been inside these systems for years, helping you identify what is working, what is ready to unlock, and where the right tools can return the most value. No pressure. Just expertise, in service of your district and the learning that happens inside it. Let’s talk to schedule your complimentary Microsoft 365 Readiness Assessment. About Authentica Solutions Authentica Solutions is an EdTech company grounded in servant leadership and built around one purpose: accelerating the flow of learning. Our team, including former Microsoft engineers who built core Microsoft 365 education products, serves K-12 districts through seed™, UsageIQ™, reachAI™, and Managed Services for Microsoft 365. Cloud with Purpose. Visit www.authenticasolutions.comHands-on Session: From idea to interactive lesson with Microsoft Learning Zone
Join us on Tuesday, May 12th at 8:00 AM Pacific for a hands-on professional development session introducing Learning Zone - a new app that helps you create interactive, classroom-ready lessons in minutes. In this 45-minute webinar, the Product Management team will guide you through core capabilities and the latest updates. You can follow along using your own Microsoft 365 Education account. Also, you will be able to get Professional Development credit with this session and we will offer a Credly badge at the end. What we will cover: ✅ Getting started with Learning Zone: Access Learning Zone and get set up ✅ Experience as a student: Join a session and see how it works from the student perspective ✅ Building your first interactive lesson: Create your first interactive lesson (in minutes!) ✅ Assigning to your class: Send lessons via link, short code, Teams Assignments, or your LMS ✅ Exploring the ready-to-learn library: Bring immediate value to your students through a variety of lessons by trusted of partners. Important note: Lesson generation is currently available only on Copilot+ PCs with any Microsoft 365 Education license (supported in English and Spanish). No Copilot+ PC? No problem. You’ll still get to try out the student experience, learn how to use the lesson library, assign interactive lessons, review insights, and integrate Learning Zone into your existing workflows. 📅 Date: Tuesday, May 12th ⏰ Time: 8:00 AM Pacific Register: https://aka.ms/LZwebinarMay26 We look forward to having you attend the event!Microsoft Cloud Revenues Reach $54.5 Billion in FY26 Q3
Microsoft’s FY26 Q3 results produced $54.5 billion revenue for the Microsoft Cloud, the part of the business that includes Microsoft 365, Azure, LinkedIn, and other services. The annualized run rate of $218 billion proves just how vital these revenues are to Microsoft. Lots of time was spent talking about Microsoft 365 Copilot, which now has “over 20 million” paid seats. Sounds good, and it’s up five million from the last quarter, but Copilot still has a long road to travel to profitability. https://office365itpros.com/2026/04/30/microsoft-cloud-fy26-q3/
Turn AI Potential into Real Impact—One Day Is All It Takes
🌐 Online | Multiple session times 📅 May 6, 2026 🔗 Register: https://aka.ms/AgentathonMay2026 If AI is on your roadmap—but still feels out of reach—this is your reminder that May 6 is coming up fast. The Microsoft Global Agent‑a‑thon is your opportunity to move from AI interest to real, usable solutions in one day, with guidance and support that continues well beyond the event. This isn’t about watching demos or talking about possibilities. It’s about building. Why This Matters Right Now Across nonprofits, public sector, education, and business, teams are stretched thin. Workloads are increasing, expectations are growing, and there’s little room to experiment without support. AI agents can help—if teams know how to build and apply them responsibly and effectively. That’s exactly what the Agent‑a‑thon provides: Hands‑on building Clear learning paths Real use cases Ongoing guidance A global community solving real problems There’s a Level for You Whether you’re brand new to AI or already building solutions, there’s a path designed for your role and goals: 🌱 Explorer Build your first AI agent, no coding required and walk away with something you can use immediately. ⚙️ Commander Automate workflows, connect systems, and reduce repetitive work using Copilot Studio and no‑code tools. 🚀 Master Design secure, enterprise‑grade AI agents with governance, orchestration, and scale in mind. No matter the level, the focus is the same: practical impact, not theory. A Special Note for Nonprofits Nonprofits often feel the pressure of “doing more with less” the most. Through the Agent‑a‑thon, nonprofits can: Automate administrative tasks that drain time and energy Support staff and volunteers with faster access to information Scale services without adding overhead Explore AI in a safe, guided environment Build solutions aligned directly to their mission Most importantly, you don’t have to do it alone. The Agent‑a‑thon is designed to support you before, during, and after the event. More Than a Day—A Starting Point Yes, the build happens in one day. But the learning, support, and momentum continue. Participants can submit their agents, access continued resources, and learn alongside a global community focused on real‑world outcomes—not shelfware. If AI is on your list this year, this is your moment. One day to build. Ongoing support to grow. A chance to shine globally.Building an Enterprise Knowledge Copilot with Foundry IQ and Agentic Retrieval on Azure AI
Every enterprise has the same problem: knowledge scattered across SharePoint, file shares, wikis, and email. This article walks through building a knowledge copilot that unifies that data behind a single conversational interface — using Microsoft's Foundry IQ knowledge bases and the agentic retrieval engine in Azure AI Search. The Problem: Fragmented Knowledge, Fragmented Answers Enterprise AI projects today share a common pain point. Each new agent or copilot that needs to answer questions from company data must rebuild its own retrieval pipeline from scratch — data connections, chunking logic, embeddings, routing, permissions — all duplicated project after project. The result is a tangle of fragmented, siloed pipelines that are expensive to maintain and inconsistent in quality. Consider a field technician troubleshooting equipment. The answer might span a vendor manual stored in OneLake, a company repair policy on SharePoint, and a public electrical standard on the web. Traditional single-index RAG cannot orchestrate across those sources in one pass. The technician waits, the issue escalates, and productivity drops. Foundry IQ, announced in public preview in November 2025, addresses this directly. It provides a unified knowledge layer for agents — a single endpoint that replaces per-project RAG pipelines with a reusable, topic-centric knowledge base that any number of agents can consume. What Is Foundry IQ? Foundry IQ introduces four capabilities built on top of Azure AI Search: Knowledge Bases — Reusable, topic-centric collections (e.g., "employee policies," "product documentation") available directly in the Foundry portal. Rather than wiring retrieval logic into every agent, you define a knowledge base once and ground multiple agents through a single API. Indexed and Federated Knowledge Sources — A knowledge base can draw from Azure Blob Storage, OneLake, SharePoint, Azure AI Search indexes, the web, and MCP servers (MCP in private preview). Developers do not need to manage different retrieval strategies per source; the knowledge base presents a unified endpoint. Agentic Retrieval Engine — A self-reflective query engine that uses AI to plan, search, and synthesize answers with configurable retrieval reasoning effort. Enterprise-Grade Security — Document-level access control and alignment with existing permissions models. Microsoft Purview sensitivity labels are respected through the indexing and retrieval pipeline, so classified content remains governed as it flows into knowledge bases. For indexed sources, Foundry IQ automatically manages the full indexing pipeline: content is ingested, chunked, vectorized, and prepared for hybrid retrieval. When Azure Content Understanding is enabled, complex documents gain layout-aware enrichment — tables, figures, and headers are extracted and structured without extra engineering work. How Agentic Retrieval Works Single-shot RAG — one query, one index, one pass — breaks down when questions are ambiguous, multi-hop, or span several data silos. Foundry IQ's agentic retrieval engine treats retrieval as a multi-step reasoning task rather than a keyword lookup: Plan — The engine analyzes the conversation and decomposes the query into focused sub-queries, deciding which knowledge sources to consult. Search — Sub-queries run concurrently against selected sources using keyword, vector, or hybrid techniques. Rank — Semantic reranking identifies the most relevant results. Reflect — If the information gathered is insufficient, the engine iterates — issuing follow-up queries autonomously. Synthesize — Results are unified into a natural-language answer with source references. Developers control this behaviour through a high-level retrieval reasoning effort setting. Lower effort suits fast, lightweight lookups; higher effort enables iterative search and richer planning across the entire data estate. Real-world impact: AT&T integrated Azure AI Search and retrieval-augmented generation into its multi-agent framework, reducing customer resolution times by 33 percent, cutting average handle time by nearly 10 percent, and scaling 71 AI solutions to 100,000 employees. Ontario Power Generation used agentic retrieval to sift through over 40 years of nuclear operating experience, enabling data-driven decision-making and helping new staff learn from decades of institutional knowledge. Architecture Overview Step-by-Step: Setting Up the Knowledge Copilot Provision Resources You need an Azure AI Search service (Basic tier or above), a Microsoft Foundry project, an embedding model deployment (e.g., text-embedding-3-large), and an LLM deployment (e.g., gpt-4.1) for query planning and answer generation. .NET 8 or later is required for the C# SDK. Create a Knowledge Base in Azure AI Search Using the Azure.Search.Documents preview SDK, define an index, a knowledge source pointing to your data, and a knowledge base with OutputMode set to AnswerSynthesis for natural-language answers with citations. The following C# snippet (adapted from the official Azure AI Search quickstart) shows the knowledge base creation: using Azure; using Azure.Identity; using Azure.Search.Documents.Indexes; var searchEndpoint = "https://<your-service>.search.windows.net"; var aoaiEndpoint = "https://<your-resource>.openai.azure.com/"; var indexClient = new SearchIndexClient( new Uri(searchEndpoint), new DefaultAzureCredential()); // Configure the LLM for query planning and answer synthesis var openAiParameters = new AzureOpenAIVectorizerParameters { ResourceUri = new Uri(aoaiEndpoint), DeploymentName = "gpt-4.1", ModelName = "gpt-4.1" }; var model = new KnowledgeBaseAzureOpenAIModel(openAiParameters); // Create the knowledge base with answer synthesis enabled var knowledgeBase = new KnowledgeBase("<knowledge-base-name>") { OutputMode = KnowledgeBaseOutputMode.AnswerSynthesis, AnswerInstructions = "Provide a concise answer based on the retrieved documents.", Models = { model } }; await indexClient.CreateOrUpdateKnowledgeBaseAsync(knowledgeBase); Connect an Agent to the Knowledge Base via MCP Each knowledge base exposes a Model Context Protocol (MCP) endpoint that MCP-compatible agents can call. The Foundry IQ-specific agent SDK currently offers full code samples for Python and REST API, but you can use the general-purpose MCP tooling in C# to achieve the same connection. The following pattern is drawn from the official Microsoft Learn documentation on MCP tools with Foundry Agents: using Azure.AI.Projects; using Azure.Identity; var endpoint = "https://<your-resource>.services.ai.azure.com/api/projects/<your-project>"; var model = "gpt-4.1-mini"; // Point the MCP tool at the knowledge base's MCP endpoint var mcpTool = new MCPToolDefinition( serverLabel: "enterprise_kb", serverUrl: "https://<search-service>.search.windows.net" + "/knowledgebases/<kb-name>/mcp?api-version=2025-11-01-preview"); mcpTool.AllowedTools.Add("knowledge_base_retrieve"); // Create the agent with the MCP tool attached var projectClient = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential()); var agentVersion = await projectClient.AgentAdministrationClient .CreateAgentVersionAsync( "enterprise-copilot", new ProjectsAgentVersionCreationOptions( new DeclarativeAgentDefinition(model) { Instructions = "You are a company knowledge assistant. " + "Always search the knowledge base before answering. " + "If the knowledge base has no answer, say so clearly.", Tools = { mcpTool } })); The agent instructions are critical — explicitly requiring the agent to use the knowledge base prevents it from answering purely from the LLM's training data. Query the Copilot Once the agent is published, your application layer simply sends user questions via the Azure AI Projects SDK or REST API. The agent autonomously invokes the knowledge base tool, retrieves grounded context, and returns an answer with citations referencing the original documents. Trade-offs and Considerations Dimension Detail Maturity Foundry IQ is in public preview — not recommended for production workloads without accepting preview SLA terms. Cost Agentic retrieval has two billing streams: token-based billing from Azure AI Search for retrieval, and billing from Azure OpenAI for query planning and answer synthesis. Latency vs. Quality Higher retrieval reasoning effort produces better answers but adds latency due to iterative search. For sub-second lookups, use minimal effort; for complex multi-hop questions, use medium. C# SDK Coverage The Foundry IQ–specific agent connection SDK currently supports Python and REST API. C# support is available for the underlying agentic retrieval queries and for general MCP tool integration. Security Document-level ACLs from SharePoint are enforced at query time. For per-user authorization in Foundry Agent Service, the current preview does not support per-request MCP headers — use the Azure OpenAI Responses API as an alternative. Key Takeaways Foundry IQ transforms enterprise RAG from a bespoke, per-project exercise into a managed, reusable knowledge layer. You define a knowledge base once, connect it to your data sources, and any number of agents or apps can consume it. The agentic retrieval engine handles query planning, multi-source search, semantic reranking, and iterative refinement — capabilities that previously required significant custom engineering. For .NET developers, the Azure AI Search C# SDK and the MCP tooling in the Agent Framework provide the building blocks to integrate this into your applications today. References: What is Foundry IQ? Create a knowledge base in Azure AI Search Foundry IQ: Unlocking ubiquitous knowledge for agentsJoin us at Microsoft 365 Copilot Live Expo and Discovery event in Huntsville, AL!
The Microsoft 365 Copilot Live Expo and Discovery event in Huntsville, AL features hands-on demos, expert sessions, and real-world use cases showcasing AI-driven productivity, Microsoft Copilot capabilities, and modern workplace innovation. The event takes place on May 19-21 at Redstone Arsenal, Huntsville, AL.
## Advanced Copilot Prompt for High‑Fidelity Teams Meeting Analysis (v1.5)
## Advanced Copilot Prompt for High‑Fidelity Teams Meeting Analysis (v1.5) I’ve been working on a structured Copilot prompt designed to dramatically improve the quality of meeting analysis inside **Microsoft Teams**, especially when the default Intelligent Recap doesn’t capture enough nuance, decisions, or actionable follow‑ups. This prompt produces a detailed, repeatable output that includes: - TL;DR executive summary - Meeting quality assessment - Prioritized action items table - Confirmed vs. tentative decisions - Open questions & risks - Mind‑map style outline - Timeline of key moments - Confidence & source citations - Tech jargon glossary - Planner‑ready task export It’s now at **version 1.5**, and I’m sharing it publicly for anyone who wants deeper meeting insights or more reliable task handoff into Planner. --- ### Why I Built This In many engineering, security, and cross‑functional meetings, clarity is everything. The default recap is helpful, but sometimes too generic. I wanted something that: - Reduces ambiguity - Surfaces decisions clearly - Highlights risks and open questions - Produces actionable, Planner‑ready tasks - Works consistently across different meeting types - Enforces strict inference rules to avoid hallucinations If your team relies heavily on Teams + Copilot, this can significantly improve meeting outcomes. --- ### What’s Included The full prompt includes: - Strict ordering rules - Anti‑hallucination constraints - Fallback rules for missing data - TL;DR section - Speaker‑labeling rules - Timestamp restrictions - Bullet‑length limits - Planner task title constraints - Deduplication rules - Tone consistency - Signal‑to‑noise filtering I’ve included the complete prompt below for anyone who wants to use or adapt it. --- ### How to Use It 1. Open the **Recap** tab of any Teams meeting with transcription enabled. 2. Click **Open Copilot**. 3. Paste the entire prompt into the Copilot compose box. 4. Wait for the structured output (usually 30–120 seconds). 5. Copy the Planner tasks section directly into Planner or Copilot for Planner. --- ### Looking for Feedback If you try this prompt, I’d love to hear: - What worked well - What didn’t - What you’d like added in v1.6 - Any edge cases or meeting types where it struggled I’m planning to maintain this as a community resource, so suggestions are welcome. Thanks to everyone experimenting with Copilot in Teams — the creativity in this community is incredible. --- ### Full Prompt (v1.5) ````markdown ```markdown # ============================================================ # PROMPT NAME: Advanced Teams Meeting Analyst (Copilot Enhancement) # ============================================================ # Version: 1.5 # Author: Scott M # Last Updated: 2026-01-14 # # Goal: # Use Microsoft Copilot in Teams (Recap tab or live meeting) to generate a highly structured, # high-signal meeting analysis that goes far beyond the default Intelligent Recap output. # Produce executive summary with TL;DR, prioritized action items table, confirmed/tentative decisions, # risks/open questions, mind-map outline, timeline, quality assessment, confidence/sources, # tech jargon glossary, and Planner-ready task export—all derived strictly from the transcript, # shared screens, chat, and attachments. # # Why This Is Superior to Default Teams/Copilot Processing: # - Default Recap: Basic chapters, highlights, simple tasks, attendance—often generic and misses nuance. # - This custom prompt: Forces strict inference rules (no hallucinations), adds confidence labeling, # decision status, risks section, mind-map structure, quality flags, source citations, # jargon glossary, and direct Planner integration for seamless task handoff. # Delivers scannable, professional-grade notes + actionable tasks for tech/engineering teams. # # Audience: # Microsoft 365 Copilot users in Teams-heavy environments who want deeper analysis # and direct bridge to Planner for follow-up execution. # # Non-Goals: # - This is NOT a replacement for legal/compliance-grade minutes. # - This is NOT verbatim transcription (use the native transcript for that). # - Relies on Teams transcription quality (enable Intelligent Speakers if available). # # Usage Instructions: # 1. Prerequisites: # - Ensure the meeting had transcription enabled (Meeting options → Record & transcribe → Allow transcription). # - For best speaker attribution: Enable Intelligent Speakers (if your org supports it) or have participants use their names clearly. # - Copilot license required (M365 Copilot or Teams Premium for full Recap features). # # 2. Post-Meeting (Recommended – Recap Tab): # - Go to the Teams meeting chat → Click the Recap tab (appears after meeting ends and processing finishes). # - Click Open Copilot (or the Copilot icon in the top-right of Recap). # - In the Copilot pane compose box, paste this ENTIRE prompt and press Enter/Send. # - Wait 30–120 seconds (longer for 60+ min meetings) for the full structured output. # # 3. During Live Meeting (Quick Catch-Up): # - While the meeting is active → Click the Copilot icon in the meeting controls. # - Paste the prompt (or a shortened version if time-sensitive) and ask for real-time summary/actions so far. # # 4. After Output Appears: # - Review the markdown sections—copy any part (e.g., Action Items table, Planner tasks) directly. # - For Planner handoff: # - Copy the entire "10. Planner Integration" section. # - Open Planner (in Teams app or planner.microsoft.com). # - Option A: Manually create tasks by pasting titles/descriptions. # - Option B: In Planner's Copilot pane (if available): Paste the tasks list and say "Create these tasks in my [plan name] plan". # - Save/export: Copy full output to OneNote, Word, or email for sharing. # # 5. Refinement & Follow-Ups (Highly Recommended): # - In the same Copilot pane, type targeted follow-ups like: # - "Expand the Risks section with mitigation ideas" # - "Draft a professional follow-up email to attendees including the summary and action table" # - "Create these tasks in Planner plan 'Engineering Syncs'" # - "Explain [specific jargon term] in more detail" # - "Prioritize the action items by impact" # - Iterate until satisfied—Copilot remembers context in the session. # # 6. Tips & Troubleshooting: # - If output is incomplete: Re-paste the prompt or say "Regenerate full analysis". # - Short meetings (<15 min): Output may be concise—ask for more detail if needed. # - No Recap tab? Ensure recording/transcription was on; wait 5–10 min post-meeting. # - Sensitive meetings: Redaction is automatic per rules, but double-check output. # # Changelog: # v1.0 - Initial release # v1.1 - Added confidence/sources + follow-up suggestions # v1.2 - Added Tech Jargon Glossary # v1.3 - Added Planner Integration section # v1.4 - Expanded Usage Instructions into detailed, step-by-step guide with prerequisites, live/post options, refinement examples, and troubleshooting # v1.5 - Added strict ordering rules, anti-hallucination constraints, fallback rules for missing data, TL;DR section, speaker-labeling rules, timestamp restrictions, bullet-length limits, Planner title constraints, deduplication rules, tone consistency, and signal-to-noise filtering # # ============================================================ # CRITICAL INSTRUCTIONS (STRICT) # ============================================================ - Do NOT summarize, restate, or comment on this prompt. Produce only the meeting analysis. - Follow the numbered sections in the exact order shown. Do not omit, reorder, merge, or rename sections. - If any section lacks sufficient evidence, include the header and write: **“No reliable data found.”** - Derive ALL content ONLY from the Teams transcript, shared content, chat, and attachments. - NEVER invent details. If unclear, mark as “Unclear” or “TBD.” - Use neutral labels (Speaker A, Speaker B, etc.) if speaker names are not confidently identified. - Assign deterministic speaker labels based on first appearance. - Redact sensitive info as [REDACTED] and flag in Risks. - Include inline citations [Transcript HH:MM, Slide X] where possible. - Keep bullet points ≤ 20 words unless quoting transcript evidence. - Exclude small talk, greetings, jokes, or irrelevant chatter unless they directly impact decisions or tasks. - Only include timestamps if explicitly present in the transcript. Never estimate or invent them. - Deduplicate action items, decisions, and risks before final output. - Maintain a professional, concise, cross-functional technical PM tone. - Planner task titles must be ≤ 10 words and start with a verb. # ============================================================ # OUTPUT FORMAT (USE EXACTLY) # ============================================================ **TL;DR (1–2 sentences)** A concise, high-level summary of why the team met and what was resolved. --- 1. **Meeting Quality Assessment** - Clarity: [Good | Fair | Poor — brief explanation] - Speaker overlap / noise: [Low | Medium | High] - Estimated accuracy: [High | Medium | Low — justification] 2. **Executive Summary** Start with 1–2 sentence overview. Then provide 5–8 bullets covering: - Purpose - Attendees (names or count if unclear) - Key topics - Outcomes - Next steps 3. **Action Items** | Priority | Owner | Task Description | Due Date | Timestamp | Dependencies | Status | Notes | |----------|-------|------------------|----------|-----------|--------------|--------|-------| **Rules:** - Sort by Priority (High → Medium → Low), then Due Date. - Infer owners/dates ONLY if explicitly stated or clearly volunteered. - Default Priority: Medium; Status: Open. - Titles ≤ 10 words, start with a verb. - Deduplicate similar tasks. 4. **Key Decisions** - **DECISION:** [What was decided] - Status: [Confirmed | Tentative | Disputed] - Confidence: [High/Medium/Low — reason] - Rationale: [Why] - Impacted: [Who] - Evidence: [Transcript HH:MM or Slide reference] 5. **Open Questions & Risks** **Open Questions** - [Unresolved or unclear items] **Risks** - [Ambiguity, missing owners, conflicting views, scope creep, technical risks, etc.] 6. **Mind Map Outline (Hierarchical Outline)** - Main Topic 1 - Subtopic A - Action / Decision / Fact - Subtopic B **Rules:** - Max 5 main topics - Max 3 levels deep - ≤ 8 words per node - Prune low-signal branches 7. **Timeline of Key Moments** - HH:MM – [Brief one-line description] - HH:MM – [etc.] *Only include if timestamps exist; otherwise write “No reliable data found.”* 8. **Confidence & Sources Summary** - Overall confidence: XX/100 - Key sources: [Transcript HH:MM, Slide X, Chat message, etc.] 9. **Tech Jargon Glossary** - TERM: Definition (1–2 sentences) *Include only if relevant terms appear.* 10. **Planner Integration: Ready-to-Create Tasks** Numbered list, each formatted as: 1. **Task Title:** [≤10 words, verb-led] - Assigned to: [Owner or TBD] - Due: [Date or TBD] - Priority: [High/Medium/Low] - Description: [Brief details + dependencies/notes] - Labels/Buckets: [Suggested grouping] **Rules:** - Only include items with clear action/owner potential. - Group related tasks under consistent buckets. - Deduplicate tasks. --- **Follow-Up Prompts (suggest 3–5)** - “Create these tasks in Planner plan ‘X’.” - “Expand the Risks section with mitigation strategies.” - “Draft a follow-up email summarizing this meeting.” - “Prioritize action items by impact and urgency.” - “Clarify ambiguous decisions and propose next steps.”Announcing the general availability of Microsoft Copilot for Sales & Microsoft Copilot for Service
Summary On February 1, 2024, https://aka.ms/CopilotGAFeb2024 to customers. Copilot for Sales and Copilot for Service bring together the power of Copilot for Microsoft 365 with role-specific insights and actions to streamline business processes, automate repetitive tasks, and unlock productivity. Both provide flexibility to integrate with existing contact center and CRM systems, such as Microsoft Dynamics 365, Salesforce and ServiceNow, to get more done with less effort. Customers can purchase Copilot for Sales or Copilot for Service for $50 per user per month as a standalone license that includes Copilot for Microsoft 365. Customers who already own Copilot for Microsoft 365 can step-up for $20 per user per month to purchase Copilot for Sales or Copilot for Service. Copilot for Sales and Copilot for Service are available now to purchase through EA/EAS, MCA-E, and Buy-Online, and will be available to Cloud Solution Provider (CSP) partners on March 1. Microsoft Copilot for Sales Copilot for Sales is an AI assistant designed for sales teams to maximize productivity and close more deals. Copilot for Sales builds on Copilot for Microsoft 365, enhancing it with connectivity to CRM systems like Microsoft Dynamics 365 Sales and Salesforce Sales Cloud to bring sales-specific insights and recommendations to apps like Microsoft Outlook, Microsoft Teams, and Microsoft Word. Today, Copilot for Sales helps sellers and sales managers: Generate sales meeting preparation briefs in Word. Summarize emails and surface relevant buying intent and BANT (budget, authority, need, timing) analysis in Outlook. Generate emails in Outlook with relevant product, account, relationship, and opportunity information from their CRM system and Microsoft Graph. Add leads and update CRM records directly from Outlook. View meeting preparation notes and real-time sales insights during calls in Teams. View sales meeting summaries in Teams with conversation analysis, sales keywords and KPIs, and suggested tasks. Create collaborative deal rooms in Teams that sync with CRM data. Copilot for Microsoft 365 is also included in Copilot for Sales, providing sellers with additional productivity enhancements, like: Generate presentations in Microsoft PowerPoint. Generate plans and organize team information in Microsoft OneNote. Ask questions in natural language to catch up on customer interactions using Microsoft Copilot chat experience. Later this month, Copilot for Sales will also bring CRM connectivity to Microsoft Copilot chat experience, allowing sellers and sales managers to get quick insights on conversion and win rate, sales cycle, and pipeline. Microsoft Copilot for Service Copilot for Service helps organizations quickly realize the benefits of generative AI by extending their existing investments in CRM and contact center solutions to enhance customer experiences and boost agent productivity. Copilot for Service unlocks an organization’s trusted knowledge to accelerate onboarding and case resolution, improve efficiency, and automate tasks for agents in their flow of work. Without costly development time, organizations can simply point to their data and in a few minutes unlock generative AI-powered conversations across their knowledge bases. And for agents, they can tap into this knowledge with a copilot embedded directly in their desktop of choice such as Salesforce, as well as the other tools they already use every day like Outlook and Teams. Today Copilot for Service can help organizations: Enable generative AI-powered conversations across all their data with simplified “point and click” access to public websites, SharePoint, knowledgebase articles, and offline files. Access knowledge sources with pre-built integrations for Salesforce, ServiceNow, and Zendesk. Embed a copilot in agent desktops from Salesforce and other channels to support agents where they work. Copilot for Microsoft 365 is also included in Copilot for Service. We will introduce additional features in Microsoft 365 apps beginning later this month that will integrate data from CRM systems like Microsoft Dynamics 365 Customer Service and Salesforce Service Cloud—including: In Outlook, use Copilot to summarize and draft emails, access case summaries, browse and update CRM records, and schedule meetings informed by case summaries and other relevant information from CRM records. In Teams, use Copilot to browse and update CRM records during a meeting, as well as recap meetings, suggest follow-up action items, and create tasks that can all be saved to CRM systems directly from Teams. In Microsoft Copilot chat experience, ask questions over cases and contacts, as well as summarize cases—all from CRM data. Partner Opportunities with Microsoft Copilot for Sales and Microsoft Copilot for Service Microsoft Copilot for Sales and Microsoft Copilot for Service offer new opportunity to help your customers transform business operations using the power of AI. Customers are looking for your expertise to help them be more competitive and profitable. By adding Microsoft Copilot for Sales and/or Microsoft Copilot for Service to your practice, you can expand your customer base, and your revenue opportunities - offering services including business advisory, readiness and deployment, and adoption and change management. These open new possibilities for Business Applications Partners, as well as Modern Work partners to expand the value of Copilot for Microsoft 365. Call to Action Learn: Read the https://aka.ms/CopilotGAFeb2024 Attend the https://aka.ms/DYNA066EXT-Register for field and partners on February 13, 8:00-9:00 AM PST for an end-to-end overview of product narrative licensing, and sales motions Register for the Feb. 29 ‘What's Next for CSP Partners and Microsoft Copilot’ event. Register https://aka.ms/WhatsNextCSPRegistration, https://aka.ms/WhatsNextCSPRegistrationPM. Leverage the new content to drive conversations with your customers: Bookmark and visit the Partner Hub and the AI future of work https://aka.ms/AIFutureOfWorkPartner for the latest content including: Updated: https://dynamicspartners.transform.microsoft.com/download/protected?assetname=protectedassets%2FMicrosoft%20Copilot%20for%20Sales%20Pitch%20Deck.pptx&download=1&protected=1 New: https://dynamicspartners.transform.microsoft.com/download/protected?assetname=protectedassets%2FMicrosoft%20Copilot%20for%20Service%20-%20Pitch%20Deck.pptx&download=1&protected=1 Updated: https://microsoft.bl-1.com/h/i/dv6cXD0o/pDnMXBQ?url=https://adoption.microsoft.com/en-us/copilot-for-sales/
📣 Getting Started with AI and MS Copilot - Arabic
👋 مرحبًا بالمعلمين والمعلمات! نأمل أن تكونوا بخير 🌟 هل ترغبون في استكشاف عالم الذكاء الاصطناعي مع Microsoft Copilot؟ ندعوكم لحضور جلسة "مقدمة إلى الذكاء الاصطناعي مع Copilot من مايكروسوفت"، المصمّمة خصيصًا للمعلمين الذين يبدؤون رحلتهم مع Copilot. في هذه الجلسة التفاعلية والعملية، سنقوم معًا برسم "وجهة أحلامنا" باستخدام الذكاء الاصطناعي، ونتعرّف على أساسيات الذكاء الاصطناعي التوليدي، كيفية كتابة تعليمات (Prompts) فعّالة، وأفضل الطرق لتوظيف هذه الأدوات داخل الصف الدراسي. 📌 الجلسة ستكون باللغة العربية، مع أمثلة واقعية، مواد جاهزة، ومساحة مخصصة لطرح الأسئلة والتجربة العملية. 📅 اللقاء سيتم عبر Join the meeting now
