Driving AI‑Powered Healthcare: A Data & AI Webinar and Workshop Series
Across these sessions, you’ll learn how healthcare organizations are using Microsoft Fabric, advanced analytics, and AI to unify fragmented data, modernize analytics, and enable intelligent, scalable solutions, from enterprise reporting to AI‑powered use cases. Whether you’re just getting started or looking to accelerate adoption, these sessions offer practical guidance, real‑world examples, and hands‑on learning to help you build a strong data foundation for AI in healthcare. Date Topic Details Location Registration Link May 6 Webinar: Microsoft Fabric Foundations - A Simple Path to Modern Analytics and AI Discover how Microsoft Fabric consolidates fragmented analytics into a single integrated data platform, making it easier to deliver trusted insights and adopt AI without added complexity. Virtual Register May 13 Webinar: Reduce BI Sprawl, Cut Cost and Build an AI-Ready Analytics Foundation Learn how Power BI enables enterprise BI consolidation, consistent metrics, and secure, scalable analytics that support both operational reporting and emerging AI use cases. Virtual Register May 19-20 In Person Workshop: Driving AI‑Powered Healthcare: Advanced Analytics, AI, and Real‑World Impact Attend this two‑day, in‑person event to learn how healthcare organizations use Microsoft Fabric to unify data, accelerate AI adoption, and deliver measurable clinical and operational value. Day 1 focuses on strategy, architecture, and real‑world healthcare use cases, while Day 2 offers hands‑on workshops to apply those concepts through guided labs and agent‑powered solutions. Chicago Register May 27 Webinar: Unified Data Foundation for AI & Analytics - Leveraging OneLake and Microsoft Fabric This session shows how organizations can simplify fragmented data architectures by using Microsoft Fabric and OneLake as a single, governed foundation for analytics and AI. Virtual Register June 3-4 In Person Workshop: Driving AI‑Powered Healthcare: Advanced Analytics, AI, and Real‑World Impact Attend this two‑day, in‑person event to learn how healthcare organizations use Microsoft Fabric to unify data, accelerate AI adoption, and deliver measurable clinical and operational value. Day 1 focuses on strategy, architecture, and real‑world healthcare use cases, while Day 2 offers hands‑on workshops to apply those concepts through guided labs and agent‑powered solutions. New York Register June 10 Webinar: From Data to Decisions: How AI Data Agents in Microsoft Fabric Redefine Analytics Join us to learn how Fabric Data Agents enable users to interact with enterprise data through AI‑powered, governed agents that understand both data and business context. Virtual Register June 23-24 In Person Workshop: Driving AI‑Powered Healthcare: Advanced Analytics, AI, and Real‑World Impact Attend this two‑day, in‑person event to learn how healthcare organizations use Microsoft Fabric to unify data, accelerate AI adoption, and deliver measurable clinical and operational value. Day 1 focuses on strategy, architecture, and real‑world healthcare use cases, while Day 2 offers hands‑on workshops to apply those concepts through guided labs and agent‑powered solutions. Dallas RegisterModel Mondays S2E12: Models & Observability
1. Weekly Highlights This week’s top news in the Azure AI ecosystem included: GPT Real Time (GA): Azure AI Foundry now offers GPT Real Time (GA)—lifelike voices, improved instruction following, audio fidelity, and function calling, with support for image context and lower pricing. Read the announcement and check out the model card for more details. Azure AI Translator API (Public Preview): Choose between fast Neural Machine Translation (NMT) or nuanced LLM-powered translations, with real-time flexibility for multilingual workflows. Read the announcement then check out the Azure AI Translator documentation for more details. Azure AI Foundry Agents Learning Plan: Build agents with autonomous goal pursuit, memory, collaboration, and deep fine-tuning (SFT, RFT, DPO) - on Azure AI Foundry. Read the announcement what Agentic AI involves - then follow this comprehensive learning plan with step-by-step guidance. CalcLM Agent Grid (Azure AI Foundry Labs): Project CalcLM: Agent Grid is a prototype and open-source experiment that illustrates how agents might live in a grid-like surface (like Excel). It's formula-first and lightweight - defining agentic workflows like calculations. Try the prototype and visit Foundry Labs to learn more. Agent Factory Blog: Observability in Agentic AI: Agentic AI tools and workflows are gaining rapid adoption in the enterprise. But delivering safe, reliable and performant agents requires foundation support for Observability. Read the 6-part Agent Factory series and check out the Top 5 agent observability best practices for reliable AI blog post for more details. 2. Spotlight On: Observability in Azure AI Foundry This week’s spotlight featured a deep dive and demo by Han Che (Senior PM, Core AI/ Microsoft ), showing observability end-to-end for agent workflows. Why Observability? Ensures AI quality, performance, and safety throughout the development lifecycle. Enables monitoring, root cause analysis, optimization, and governance for agents and models. Key Features & Demos: Development Lifecycle: Leaderboard: Pick the best model for your agent with real-time evaluation. Playground: Chat and prototype agents, view instant quality and safety metrics. Evaluators: Assess quality, risk, safety, intent resolution, tool accuracy, code vulnerability, and custom metrics. Governance: Integrate with partners like Cradle AI and SideDot for policy mapping and evidence archiving. Red Teaming Agent: Automatically test for vulnerabilities and unsafe behavior. CI/CD Integration: Automate evaluation in GitHub Actions and Azure DevOps pipelines. Azure DevOps GitHub Actions Monitoring Dashboard: Resource usage, application analytics, input/output tokens, request latency, cost breakdown, and evaluation scores. Azure Cost Management SDKs & Local Evaluation: Run evaluations locally or in the cloud with the Azure AI Evaluation SDK. Demo Highlights: Chat with a travel planning agent, view run metrics and tool usage. Drill into run details, debugging, and real-time safety/quality scores. Configure and run large-scale agent evaluations in CI/CD pipelines. Compare agents, review statistical analysis, and monitor in production dashboards 3. Customer Story: Saifr Saifr is a RegTech company that uses artificial intelligence to streamline compliance for marketing, communications, and creative teams in regulated industries. Incubated at Fidelity Labs (Fidelity Investments’ innovation arm), Saifr helps enterprises create, review, and approve content that meets regulatory standards—faster and with less manual effort. What Saifr Offers AI-Powered Compliance: Saifr’s platform leverages proprietary AI models trained on decades of regulatory expertise to automatically detect potential compliance risks in text, images, audio, and video. Automated Guardrails: The solution flags risky or non-compliant language, suggests compliant alternatives, and provides explanations—all in real time. Workflow Integration: Saifr seamlessly integrates with enterprise content creation and approval workflows, including cloud platforms and agentic AI systems like Azure AI Foundry. Multimodal Support: Goes beyond text to check images, videos, and audio for compliance risks, supporting modern marketing and communications teams. 4. Key Takeaways Observability is Essential: Azure AI Foundry offers complete monitoring, evaluation, tracing, and governance for agentic AI—making production safe, reliable, and compliant. Built-In Evaluation and Red Teaming: Use leaderboards, evaluators, and red teaming agents to assess and continuously improve model safety and quality. CI/CD and Dashboard Integration: Automate evaluations in GitHub Actions or Azure DevOps, then monitor and optimize agents in production with detailed dashboards. Compliance Made Easy: Safer’s agents and models help financial services and regulated industries proactively meet compliance standards for content and communications. Sharda's Tips: How I Wrote This Blog I focus on organizing highlights, summarizing customer stories, and linking to official Microsoft docs and real working resources. For this recap, I explored the Azure AI Foundry Observability docs, tested CI/CD pipeline integration, and watched the customer demo to share best practices for regulated industries. Here’s my Copilot prompt for this episode: "Generate a technical blog post for Model Mondays S2E12 based on the transcript and episode details. Focus on observability, agent dashboards, CI/CD, compliance, and customer stories. Add correct, working Microsoft links!" Coming Up Next Week Next week: Open Source Models! Join us for the final episode with Hugging Face VP of Product, live demos, and open model workflows. Register For The Livestream – Sep 15, 2025 About Model Mondays Model Mondays is your weekly Azure AI learning series: 5-Minute Highlights: Latest AI news and product updates 15-Minute Spotlight: Demos and deep dives with product teams 30-Minute AMA Fridays: Ask anything in Discord or the forum Start building: Watch Past Replays Register For AMA Recap Past AMAs Join The Community Don’t build alone! The Azure AI Developer Community is here for real-time chats, events, and support: Join the Discord Explore the Forum About Me I'm Sharda, a Gold Microsoft Learn Student Ambassador focused on cloud and AI. Find me on GitHub, Dev.to, Tech Community, and LinkedIn. In this blog series, I share takeaways from each week’s Model Mondays livestream.Model Mondays S2E10: Automating Document Processing with AI
1. Weekly Highlights We kicked off with the top news and updates in the Azure AI ecosystem: Agent Factory Blog Series: A new 6-part blog series on designing reliable, agentic AI—exploring multi-step, collaborative agents that reflect, plan, and adapt using tool integrations and design patterns. Text PII Preview in Azure AI Language: Now redacts PII (like date of birth, license plates) in major European languages, with better accuracy for UK bank entities. Claude Opus 4.1 in Copilot Pro & Enterprise: Public preview brings smarter summaries, tool assistant thinking, and "Ask Mode" in VS Code.Now leverages stronger computer vision algorithms for table parsing—achieving 94-97% accuracy across Latin, Chinese, Japanese, and Korean—with sub-10ms latency. Mistral Document AI in Azure Foundry: Instantly turn PDFs, contracts, and scanned docs into structured JSON with tables, headings, and LaTeX support. Serverless, multilingual, secure, and perfect for regulated industries. 2. Spotlight On: Document Intelligence with Azure & Mistral This week’s spotlight was a hands-on exploration of document processing, featuring both Microsoft and Mistral AI experts. Why Document Processing? Unstructured data—receipts, forms, handwritten notes—are everywhere. Modern document AI can extract, structure, and even annotate this data, fueling everything from search to RAG pipelines. Azure Document Intelligence: State-of-the-art OCR and table extraction with super-high accuracy and speed. Handles multi-language, complex layouts, and returns structured outputs ready for programmatic use. Mistral Document AI: Transforms PDFs and scanned docs into JSON, retaining complex formatting, tables, images, and even LaTeX. Supports custom schema extraction, image/document annotations, and returns everything in one API call. Integrates seamlessly with Azure AI Foundry and developer workflows. Demo Highlights: Extracting Receipts: OCR accurately pulls out store, date, and transaction details from photos. Handwriting Recognition: Even historical documents (like Thomas Jefferson’s letters) are parsed with surprising accuracy. Tables & Structured Data: Financial statements and reports converted into structured markdown and JSON—ready for downstream apps. Advanced Annotations: Define your own schema (via JSON Schema or Pydantic), extract custom fields, classify images, summarize documents, and even translate summaries—all in a single call. 3. Customer Story: Oracle Health Oracle Health shared how agentic AI and fine-tuned models are revolutionizing clinical workflows: Problem: Clinicians spend hours on documentation, searching records, and manual data entry—reducing time for patient care. Solution: Oracle’s clinical AI agents automate chart reviews, data extraction, and even conversational Q&A—while keeping humans in the loop for safety. Technical Highlights: Multi-agent architecture understands provider specialty and context. Orchestrator model "routes" requests to the right agent or plugin, extracting needed arguments from context. Fine-tuning was key: For low latency, Oracle used lightweight models (like GPT-4 Mini) and fine-tuned on their data—achieving sub-800ms responses, with accuracy matching larger models. Fine-tuning also allowed for nuanced tool selection, argument extraction, and rule-based orchestration—better than prompt engineering alone. Used LoRA for efficient, targeted fine-tuning without erasing base model knowledge. Live Demo: Agent summarizes patient history, retrieves lab results, filters for abnormals, and answers follow-up questions—all conversationally. Fine-tuned orchestrator chooses the right tool and context for each doctor’s workflow. Result: 1-2 hours saved per day, more time for patients, and happier doctors! 4. Key Takeaways Here are the key learnings from this episode: Document AI is Production-Ready: Azure Document Intelligence and Mistral Document AI offer fast, accurate, and customizable document parsing for real enterprise needs. Schema-Driven Extraction & Annotation: Define your own schemas and extract exactly what you want—no more one-size-fits-all. Fine-Tuning Unlocks Performance: For low latency and high accuracy, fine-tuning lightweight models beats prompt engineering in complex, rule-based agent workflows. Agentic Workflows in Action: Multi-agent systems can automate complex tasks, route requests, and keep humans in control, especially in regulated domains like healthcare. Community & Support: Join the Discord and Forum to ask questions, share use cases, and connect with the team. Sharda's Tips: How I Wrote This Blog Writing this recap is all about sharing what I learned and making it practical for the community! I start by organizing the key highlights, then walk through customer stories and demos, using simple language and real-world examples. Copilot helps me structure and clarify my notes, especially when summarizing technical sections. Here’s the prompt I used for Copilot this week: "Generate a technical blog post for Model Mondays S2E10 based on the transcript and episode details. Focus on document processing with Azure AI and Mistral, include customer demos, and highlight practical workflows and fine-tuning. Make it clear and approachable for developers and students." Every episode inspires me to try these tools myself, and I hope this blog makes it easy for you to start, too. If you have questions or want to share your own experience, I’d love to hear from you! Coming Up Next Week Next week: Text & Speech AI Playgrounds! Learn how to build and test language and speech models, with live demos and expert guests. | Register For The Livestream – Aug 25, 2025 | Register For The AMA – Aug 29, 2025 | Ask Questions & View Recaps – Discussion Forum About Model Mondays Model Mondays is a weekly series to build your Azure AI IQ with: 5-Minute Highlights: News & updates on Mondays 15-Minute Spotlight: Deep dives into new features, models, and protocols 30-Minute AMA Fridays: Live Q&A with product teams and experts Get started: Register For Livestreams Watch Past Replays Register For AMA Recap Past AMAs Join The Community Don’t build alone! Join the Azure AI Developer Community for real-time chats, events, support, and more: Join the Discord Explore the Forum About Me I'm Sharda, a Gold Microsoft Learn Student Ambassador focused on cloud and AI. Find me on GitHub, Dev.to, Tech Community, and LinkedIn. In this blog series, I share takeaways from each week’s Model Mondays livestream.Student Devs: Build AI Agents, Compete for $55K in Prizes
Student Devs: Build AI Agents, Compete for $55K in Prizes 🎮 AI Skills Fest • June 4–14, 2026 • Free to Enter $55K Prize Pool 3 Challenge Tracks 10 Days of Hacking Free To Enter Whether you're a first-year CS student or a final-year senior with a portfolio full of projects, Agents League is the best way to gain hands-on experience with agentic AI this summer and walk away with real skills employers are hiring for right now. What You'll Actually Learn Forget passive tutorials. Agents League is project-based learning at full speed. By the end of the hackathon, you'll have built a working AI agent and gained practical experience with the tools shaping the future of software development. 🤖 AI-Assisted Development Use GitHub Copilot to accelerate your coding workflow — from scaffolding to debugging — the way professional developers do today. 🧩 Multi-Step Reasoning Build agents with Microsoft Foundry that can plan, reason, and execute complex tasks — the core of agentic AI. 🏢 Enterprise AI Patterns Learn to build production-ready agents that integrate with Microsoft 365 and Copilot Studio — skills that translate directly to industry jobs. 🔧 Prompt Engineering Design effective prompts and orchestration flows that make AI agents reliable and useful in the real world. 📦 GitHub Workflows Submit your project through GitHub — practising version control, README writing, and open-source collaboration. 🎯 Competitive Problem-Solving Work under real constraints with deadlines, judging criteria, and peer competition — just like industry hackathons and sprints. Pick Your Track (or Try All Three) Agents League has three challenge tracks, each using different Microsoft AI tools. Choose based on your interests or stretch yourself by competing in multiple tracks. Track 01. Creative Apps Build an innovative application with AI-assisted development. This track rewards creativity, dream big and let GitHub Copilot help you bring ideas to life faster than ever. Tool: GitHub Copilot Track 02. Reasoning Agents Create intelligent agents that solve complex problems through multi-step reasoning. Think: agents that can research, plan, and act. This is the cutting edge of AI. Tool: Microsoft Foundry Track 03. Enterprise Agents Build knowledge agents that integrate with Microsoft 365 Copilot. Learn how businesses are deploying AI today and add enterprise AI to your skillset. Tool: Copilot Studio • M365 Opportunities You Won't Want to Miss Agents League isn't just a competition, it's a launchpad. Here's what's in it for you beyond the code: 💰 Win from a $55,000 USD Prize Pool Prizes are awarded across all three tracks smaller teams and solo hackers have a real shot. 📺 Watch Live Coding Battles at Microsoft Reactor See industry experts go head-to-head building AI agents live. Learn advanced techniques you can apply immediately to your own project. 🎓 Free Learning Resources on Microsoft Learn Access curated learning paths and the AI Skills Navigator, structured content designed to get you from zero to submission-ready. 🌍 Join a Global Developer Community Connect with thousands of developers on the Agents League Discord. Find teammates, ask questions, and build your professional network. 📂 Build Your Portfolio with a Real Project Every submission lives on GitHub. Walk away with a polished, public project that demonstrates your AI skills to future employers and grad schools. 🏆 Gain Recognition from Microsoft and the Community Top projects get visibility across the Microsoft developer ecosystem. Stand out from the crowd in internship and job applications. Key Dates to Remember Event Date Hacking Period Opens June 4, 2026 Registration Deadline June 12, 2026 — 12:00 PM PT Submission Deadline June 14, 2026 — 11:59 PM PT How to Get Started (Right Now) You don't have to wait until June 4th to start preparing. Here's your pre-hackathon game plan: Register for the hackathon it's free and open to everyone. Pick a track that matches your interests or curiosity. Explore the learning resources on Microsoft Learn and the AI Skills Navigator. Join the Discord community to find teammates and get early tips. Watch the Reactor event series for live coding battles and expert walkthroughs. Set up your GitHub repo and start experimenting before the hacking window opens. Helpful Links Register for Agents League Free entry, sign up now Microsoft Reactor Events Live coding battles & workshops AI Skills Fest The broader event Microsoft Learn Free learning paths The Arena Awaits 🏆 Ten days. Three tracks. $55K in prizes. Whether you go solo or squad up, this is your chance to build something real with AI and have a blast doing it. Register Now It's Free | Watch Reactor Events Agents League is part of AI Skills Fest and is open to the public at no cost. Review the Hackathon Rules and Regulations and the Microsoft Event Code of Conduct before participating.Three Tiers, One Platform: Building Agents Together with the Build-Along Series
The Agentic Opportunity Every partner has agent ambition, but a single workshop format cannot serve every builder. Business makers want a fast win without writing code. Citizen developers want to orchestrate real processes across enterprise systems. Pro developers want a code-first surface with evaluations, tracing, and managed identity. Run the wrong session for the wrong audience, and engagement collapses - too abstract for one group, too constrained for another. The Agent Build-Along Series solves that by meeting builders exactly where they are, across three tiers of the Microsoft platform stack. Behind the series sits a self-serve GitHub repository - a curated library of build-along sessions with easy-to-follow, step-by-step instructions, scoped to specific industry scenarios and business functions. Partners pick the scenario that fits the room, clone the assets, and run the session. No bespoke content build, no facilitator guesswork. A Self-Serve Repository for Build-Along Sessions Diagram illustrating three tiers of agent building The repo at Agent Build-Along Github is a self-serve catalog of ready-to-run workshops. Every session is curated for a specific industry and business function, with easy-to-follow instructions a facilitator can pick up and deliver. Pick the combination that matches the room and run the session - the content, scenario, and assets are already there. Sessions are organised across three axes so partners can find the right fit fast: Industry - Financial Services, Healthcare, Retail, Manufacturing, Public Sector, Energy, Professional Services Business function - Sales, Marketing, Finance, HR, Operations, IT, Customer Service Workload - Agent Builder, Copilot Studio and Azure AI Foundry Each session in the repo includes a real-world scenario, step-by-step build instructions, sample data, prompts and configuration, and a facilitator narrative. Clone, brief the room, build the agent - that is the loop. Three Tiers - Meet Builders Where They Are The pyramid is intentional. Builders start where their skills are today and move up as confidence grows. The tier defines platform, audience, duration, and approach - content stays consistent. Tier Platform Audience Duration Approach 1 - Foundation Microsoft 365 Copilot Agent Builder Business makers, end users, departmental teams 60 min No-code 2 - Extend Copilot Studio Citizen developers, power users, ops teams 90 min Low-code 3 - Pro-Code Azure AI Foundry Pro developers, architects, AI engineers 180+ min Code-first Tier 1 - M365 Copilot Agent Builder Author your first agent - no code required. Microsoft 365 Copilot Agent Builder virtual workshop overview, What your customers will build A custom agent scoped to a real workplace scenario Grounded with knowledge sources (SharePoint sites, files, web URLs) Configured with custom instructions and conversation starters Tested in the preview pane and shared with a team Session flow Define → Ground → Refine → Test & Share Prerequisites Microsoft 365 Copilot licence (or Copilot Chat free) Modern browser (Edge / Chrome) A workplace scenario in mind, or use our template Outcome Attendees leave with a working agent they can use immediately, plus a repeatable pattern for future use cases. This is the right entry point for departmental teams who want to operationalise Copilot without engineering involvement. Tier 2 - Copilot Studio Orchestrate multi-step agents across enterprise systems. Microsoft Copilot Studio virtual workshop overview What your customers will build A copilot with generative answers and authored topics Custom actions that call APIs and Power Platform connectors Knowledge sources spanning SharePoint, Dataverse, public web, and enterprise data Channel deployment to Microsoft Teams and a public web embed Session flow Design → Connect → Author → Publish Prerequisites M365 Copilot license with access to Copilot Studio Familiarity with Power Platform helpful, not required A multi-step workflow or process in mind Outcome Attendees leave with a published copilot running in Teams or on the web, plus a pattern for connecting copilots to enterprise systems. This is where citizen developers and ops teams turn manual processes into orchestrated, agent-driven workflows. Tier 3 - Azure AI Foundry Ship a code-first agent with evaluations and observability. What your customers will build A code-first agent with custom tools and function calling Grounding via Azure AI Search and the customer's own data Model selection from the Foundry catalog, with optional fine-tuning Evaluations, tracing, and managed-identity deployment Session flow Provision → Build → Evaluate → Deploy Prerequisites Azure subscription with Azure AI Foundry access VS Code, plus Python or .NET familiarity Sample data or a use case ready to ground on Outcome Attendees leave with a deployed agent - code, evaluations, and tracing in place - plus reusable SDK templates. This is the right tier for architects and AI engineers shipping agents into production with the governance bar enterprise customers expect. How the Repository Works The repo removes the heaviest lift in running these workshops: content creation. Every session is curated against the same three axes - industry, business function, tier - and shipped with step-by-step instructions a facilitator can follow with minimum prep. Industry/Business Function × Tier → Ready-to-run Build-Along Each session in the repo ships with: A real-world scenario grounded in the chosen industry and business function Step-by-step build instructions tuned to the selected tier Sample data the agent can ground against Prompts, conversation starters, and configuration snippets Facilitator narrative so anyone can run the session Need an enterprise agent that can handle integrate with CRM data? There is a curated Copilot Studio session with a deal-desk scenario and sample CRM data. Need a pro-code health care agent? Choose the Foundry session with a patient-flow scenario and a grounded dataset. Same repo, different curated paths - at the right depth for the room. What Attendees Walk Away With Agent-Builder - A working agent in Microsoft 365 Copilot, ready to share with colleagues. Copilot Studio - A published copilot running in Teams or on the web, connected to enterprise systems. Foundry - A deployed Foundry agent with evaluations, tracing, and SDK templates for the next build. In all cases attendees leave with assets - not slides - and the confidence to build the next one without facilitation. Next Steps - Host a Build-Along Pick your tier - Start where your skills are today. Move up the pyramid as confidence grows. Drive Registration – Socialise your Build-Along session to maximise attendance. Show up and build. Bring a real scenario. Customers leave with a working agent to share. Where to Next Browse the self-serve repository of Build-Along sessions - curated by industry and business function, with step-by-step instructions ready to run: Agent Build Along.Pitch Maker Agent: Turn Copilot Chat Signals into Microsoft 365 Copilot Deals
Executive Summary Customers are already using free Copilot Chat at scale, but adoption is often ungoverned and disconnected from the Microsoft 365 workloads where measurable productivity and risk controls live. The Pitch Maker Agent (BETA) helps partners convert Partner Center Copilot growth opportunity signals into customer-ready narratives—reducing pitch preparation from days to minutes and improving consistency across stakeholders (replace with your measured baseline). What it enables (partner outcomes) Turn raw usage signals into an executive business case with clear opportunity, risk, and next steps. Standardize value conversations across IT and business buyers while keeping customer context specific. Accelerate conversion from exploration to governed deployment by anchoring on Microsoft 365 workloads. Why it’s different Evidence-led: uses Partner Center Copilot growth opportunities (ASPX) signals rather than generic prompts. Buyer-ready: outputs a structured narrative (not a feature list) designed for executive alignment and action. Inputs required Partner Center Copilot growth opportunities export (all columns) for the target customer. The Opportunity: From AI Exploration to Enterprise Direction The move from free Copilot Chat to Microsoft 365 Copilot is a timing advantage: customers have intent and familiarity, but need a governed path that ties AI to real work in Teams, Outlook, Excel, and beyond. Advisory gap: translate usage metrics into business insight executives can fund. Governance gap: balance opportunity with security, compliance, and lifecycle controls. Workflow gap: connect AI usage to measurable outcomes inside Microsoft 365 workloads. How the Agent Works (BETA) The Agent follows a simple, repeatable flow to generate an executive-ready pitch narrative from Partner Center Copilot growth opportunity signals. See the agent in action below. In three steps Upload the Partner Center Copilot growth opportunities export (all columns). Run the Agent to translate usage signals into a customer-specific executive narrative. Use the generated business case, recommendations, and next steps in the customer conversation. What the Output Enables Translate Partner Center signals into a fundable business case, faster. Improve executive alignment by presenting opportunity, risk, and plan in one narrative. Increase repeatability across accounts with a consistent structure and messaging. The figure below illustrates how the Agent turns usage signals into a concise, executive-ready pitch narrative and action plan. Figure 1. From Copilot Chat signals to an executive pitch narrative and next-step plan. For customers, the conversation shifts from features to outcomes—clear productivity impact, role-based change, and risk-aware governance. Deployment and Execution The Agent is delivered as a solution package and deployed through Copilot Studio with a straightforward publish-and-run flow. Prepare Partner Center ASPX export (all columns) and validate sensitivity labels. Import the solution package into Copilot Studio. Verify dependencies, publish the Agent, and enable access in Microsoft 365 Copilot and Teams. Run the guided pitch flow by uploading customer data and capturing the narrative output. The run guide provides step-by-step visuals for data preparation, import, publication, and how to use the output in customer conversations. Why This Matters for Partner Practices The Pitch Maker Agent (BETA) supports a repeatable value motion: identify opportunity, align stakeholders, and move customers from experimentation to governed Microsoft 365 Copilot adoption. Higher conversion: clearer executive rationale anchored in evidence and outcomes. Lower effort: less time drafting, more time on discovery and delivery. Better governance: built-in prompts to address risk, readiness, and controls early. Call to Action This week: 15-minute start Locate the solution package and run guide in the Agent folder. Deploy the Agent in Copilot Studio and publish to Microsoft 365 Copilot/Teams. Export Partner Center Copilot growth opportunities data and validate sensitivity labels. Upload the dataset and generate a customer-specific executive pitch narrative. Resources Helpful links to learn more and access supporting materials: Partner Center Copilot growth opportunities data GitHub repository Overview: Run guideMicrosoft 365 Champion community call | May 2026 | PM
Join our next community call on May 26, 2026, to explore the new Copilot Hub experience and learn more about Agent 365. Host: Tiffany Lee Guests: Jessie Hwang, Samer Baroudi Moderators: Jessie Hwang, Casandra Marrero, Abby Schilbach 📢 NOTE: our community call formats are Teams webinars so you must register at https://aka.ms/M365ChampionCallPM to receive the link to join. The join link will be sent to you in email with your webinar registration confirmation. 🗨️ Each call includes an open Q&A discussion section at the end, where you'll have a chance to ask your questions about Microsoft 365. 👋 Was this forwarded to you? Join the Microsoft 365 Champion program today! Champions combine technical acumen with people skills to drive meaningful change. Our community calls are open to everyone, but only Champion program members have access to the presentation resources (access link is in the initial welcome email and in the monthly newsletters). Join now: https://aka.ms/M365Champions.Microsoft 365 Champion community call | May 2026 | AM
Join our next community call on May 26, 2026, to explore the new Copilot Hub experience and learn more about Agent 365. Host: Tiffany Lee Guests: Jessie Hwang, Samer Baroudi Moderators: Jessie Hwang, Casandra Marrero, Abby Schilbach 📢 NOTE: our community call formats are Teams webinars so you must register at https://aka.ms/M365ChampionCallAM to receive the link to join. The join link will be sent to you in email with your webinar registration confirmation. 🗨️ Each call includes an open Q&A discussion section at the end, where you'll have a chance to ask your questions about Microsoft 365. 👋 Was this forwarded to you? Join the Microsoft 365 Champion program today! Champions combine technical acumen with people skills to drive meaningful change. Our community calls are open to everyone, but only Champion program members have access to the presentation resources (access link is in the initial welcome email and in the monthly newsletters). Join now: https://aka.ms/M365Champions.Join us at Microsoft 365 Copilot Discovery event in Huntsville, AL! - UPDATED LOCATION AND DATES!
The Microsoft 365 Copilot 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 19th 2026 in Huntsville, AL.Use AI to build AI, without losing your mind
with Maddy Montaquila, Lead PM for Aspire This is not just another AI discussion. This is a session for developers, architects, cloud engineers, and tech professionals who want to understand how AI can truly support modern software development, not create more confusion. We will explore how the right abstractions, strong defaults, and smart guardrails can help AI become a real accelerator for building applications. You will discover how agentic AI is changing the developer experience, how coding agents can help you move faster while staying in control, how Aspire supports building agentic applications, and how to avoid AI overload while staying focused on shipping real software. You will also learn how Microsoft Learn can support your continued journey in AI, cloud, and modern application development. 📢 Don’t miss this opportunity to learn, connect, and grow with the Microsoft Zero to Hero community. Register Here: https://streamyard.com/watch/5T8RNcRa6NUt
