Healthcare Agent Orchestrator: Multi-agent Framework for Domain-Specific Decision Support
At Microsoft Build, we introduced the Healthcare Agent Orchestrator, now available in Azure AI Foundry Agent Catalog . In this blog, we unpack the science: how we structured the architecture, curated real tumor board data, and built robust agent coordination that brings AI into real healthcare workflows. Healthcare Agent Orchestrator assisting a simulated tumor board meeting. Introduction Healthcare is inherently collaborative. Critical decisions often require input from multiple specialists—radiologists, pathologists, oncologists, and geneticists—working together to deliver the best outcomes for patients. Yet most AI systems today are designed around narrow tasks or single-agent architectures, failing to reflect the real-world teamwork that defines healthcare practice. That’s why we developed the Healthcare Agent Orchestrator: an orchestrator and code sample built around Microsoft’s industry-leading healthcare AI models, designed to support reasoning and multidisciplinary collaboration -- enabling modular, interpretable AI workflows that mirror how healthcare teams actually work. The orchestrator brings together Microsoft healthcare AI models—such as MedImageParse for image recognition, CXRReportGen for automated radiology reporting, and MedImageInsight for retrieval and similarity analysis—into a unified, task-aware system that enables developers to build an agent that reflects real-word healthcare decision making pattern. Healthcare Is Naturally Multi-Agent Healthcare decision-making often requires synthesizing diverse data types—radiologic images, pathology slides, genetic markers, and unstructured clinical narratives—while reconciling differing expert perspectives. In a molecular tumor board, for instance, a radiologist might highlight a suspicious lesion on CT imaging, a pathologist may flag discordant biopsy findings, and a geneticist could identify a mutation pointing toward an alternate treatment path. Effective collaboration in these settings hinges not on isolated analysis, but on structured dialogue—where evidence is surfaced, assumptions are challenged, and hypotheses are iteratively refined. To support the development of healthcare agent orchestrator, we partnered with a leading healthcare provider organization, who independently curated and de-identified a proprietary dataset comprising longitudinal patient records and real tumor board transcripts—capturing the complexity of multidisciplinary discussions. We provided guidance on data types most relevant for evaluating agent coordination, reasoning handoffs, and task alignment in collaborative settings. We then applied LLM-based structuring techniques to convert de-identified free-form transcripts into interpretable units, followed by expert review to ensure domain fidelity and relevance. This dataset provides a critical foundation for assessing agent coordination, reasoning handoffs, and task alignment in simulated collaborative settings. Why General-Purpose LLMs Fall Short for Healthcare Collaboration While general-purpose large language models have delivered remarkable results in many domains, they face key limitations in high-stakes healthcare environments: Precision is critical: Even small hallucinations or inconsistencies can compromise safety and decision quality Multi-modal integration is required: Many healthcare decisions involve interpreting and correlating diverse data types—images, reports, structured records—much of which is not available in public training sets Transparency and traceability matter: Users must understand how conclusions are formed and be able to audit intermediate steps The Healthcare Agent Orchestrator addresses these challenges by pairing general reasoning capabilities with specialized agents that operate over imaging, genomics, and structured EHRs—ensuring grounded, explainable results aligned with clinical expectations. Each agent contributes domain-specific expertise, while the orchestrator ensures coherence, oversight, and explainability—resulting in outputs that are both grounded and verifiable. Architecture: Coordinating Specialists Through Orchestration Healthcare Agent Orchestrator. Healthcare Agent Orchestrator’s multi-agent framework is built on modular AI infrastructure, designed for secure, scalable collaboration: Semantic Kernel: A lightweight, open-source development kit for building AI agents and integrating the latest AI models into C#, Python, or Java codebases. It acts as efficient middleware for rapidly delivering enterprise-grade solutions—modular, extensible, and designed to support responsible AI at scale. Model Context Protocol (MCP): an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. Magentic-One: Microsoft’s generalist multi-agent system for solving open-ended web and file-based tasks across domains—built on Microsoft AutoGen, our popular open-source framework for developing multi-agent applications. Each agent is orchestrated within the system and integrated via Semantic Kernel’s group chat infrastructure, with support for communication and modular deployment via Azure. This orchestration ensures that each model—whether interpreting a lung nodule, analyzing a biopsy image, or summarizing a genomic variant—is applied precisely where its expertise is most relevant, without overloading a single system with every task. The modularity of the framework also future-proofs: as new health AI models and tools emerge, they can be seamlessly incorporated into the ecosystem without disrupting existing workflows—enabling continuous innovation while maintaining clinical stability. Microsoft’s healthcare AI models at the Core Healthcare agent orchestrator also enables developers to explore the capabilities of Microsoft’s latest healthcare AI models: CXRReportGen: Integrates multimodal inputs—including current and prior X-ray images and report context—to generate grounded, interpretable radiology reports. The model has shown improved accuracy and transparency in automated chest X-ray interpretation, evaluated on both public and private data. MedImageParse 3 : A biomedical foundation model for imaging parsing that can jointly conduct segmentation, detection, and recognition across 9 imaging modalities. MedImageInsight 4 : Facilitates fast retrieval of clinically similar cases, supports disease classification across broad range of medical image modalities, accelerating second opinion generation and diagnostic review workflows. Each model has the ability to act as a specialized agent within the system, contributing focused expertise while allowing flexible, context-aware collaboration orchestrated at the system level. CXRReportGen is included in the initial release and supports the development and testing of grounded radiology report generation. Other Microsoft healthcare models such as MedImageParse and MedImageInsight are being explored in internal prototypes to expand the orchestrator’s capabilities across segmentation, detection, and image retrieval tasks. Seamless Integration with Microsoft Teams Rather than creating new silos, Healthcare Agent Orchestrator integrates directly into the tools clinicians already use—specifically Microsoft Teams. Developers are investigating how clinicians can engage with agents through natural conversation, asking questions, requesting second opinions, or cross-validating findings—all without leaving their primary collaboration environment. This approach minimizes friction, improves user experience, and brings cutting-edge AI into real-world care settings. Building Toward Robust, Trustworthy Multi-Agent Collaboration Think of the orchestrator as managing a secure, structured group chat. Each participant is a specialized AI agent—such as a ‘Radiology’ agent, ‘PatientHistory’ agent, or 'ClinicalTrials‘ agent. At the center is the ‘Orchestrator’ agent, which moderates the interaction: assigning tasks, maintaining shared context, and resolving conflicting outputs. Agents can also communicate directly with one another, exchanging intermediate results or clarifying inputs. Meanwhile, the user can engage either with the orchestrator or with specific agents as needed. Each agent is configured with instructions (the system prompt that guides its reasoning), and a description (used by both the UI and the orchestrator to determine when the agent should be activated). For example, the Radiology agent is paired with the cxr_report_gen tool, which wraps Microsoft’s CXRReportGen model for generating findings from chest X-ray images. Tools like this are declared under the agent’s tools field and allow it to call foundation models or other capabilities on demand—such as the clinical_trials tool 5 for querying ClinicalTrials.gov. Only one agent is marked as facilitator, designating it as the moderator of the conversation; in this scenario, the Orchestrator agent fills that role. Early observations highlight that multi-agent orchestration introduces new complexities—even as it improves specialization and task alignment. To address these emergent challenges, we are actively evolving the framework across several dimensions: Mitigating Error Propagation Across Agents: Ensuring that early-stage errors by one agent do not cascade unchecked through subsequent reasoning steps. This includes introducing critical checkpoints where outputs from key agents are verified before being consumed by others. Optimizing Agent Selection and Specialization: Recognizing that more agents are not always better. Adding unnecessary or redundant agents can introduce noise and confusion. We’ve implemented a systematic framework that emphasizes a few highly suited agents per task —dynamically selected based on case complexity and domain needs—while continuously tracking performance gains and catching regressions early. Improving Transparency and Hand-off Clarity: Structuring agent interactions to make intermediate outputs and rationales visible, enabling developers (and the system itself) to trace how conclusions were reached, catch inconsistencies early, and intervene when necessary. Adapting General Frameworks for Healthcare Complexity Generic orchestration frameworks like Semantic Kernel provide a strong foundation—but healthcare demands more. The stakes are higher, the data more nuanced, and the workflows require precision, traceability, and regulatory compliance. Here’s how we’ve extended and adapted these systems to help address healthcare demands: Precision and Safety: We introduced domain-aware verification checkpoints and task-specific agent constraints to reduce inappropriate tool usage—supporting more reliable reasoning. To help uphold the high standards required in healthcare, we defined two complementary metric systems (Check Healthcare Agent Orchestrator Evaluation for more details): Core Metrics: monitor health agents selection accuracy, intent resolution, contextual relevance, and information aggregation RoughMetric: a composite score based on ROUGE that helps quantify the precision of generated outputs and conversation reliability. TBFact: A modified version of RadFact 2 that measures factuality of claims in agents' messages and helps identifying omissions and hallucination Domain-Specific Tool Planning: Healthcare agents must reason across multimodal inputs—such as chest X-rays, CT slices, pathology images, and structured EHRs. We’ve customized Semantic Kernel’s tool invocation and planning modules to reflect clinical workflows, not generic task chains. These infrastructure-level adaptations are designed to complement Microsoft Healthcare AI models—such as CXRReportGen, MedImageParse, and MedImageInsight—working together to enable coordinated, domain-aware reasoning across complex healthcare tasks. Enabling Collaborative, Trustworthy AI in Healthcare Healthcare demands AI systems that are as collaborative, adaptive, and trustworthy as the clinical teams they aim to support. The Healthcare Agent Orchestrator is a concrete step toward that vision—pairing specialized health AI models with a flexible, multi-agent coordination framework, purpose-built to reflect the complexity of real clinical decision-making. By aligning with existing healthcare workflows and enabling transparent, role-specific collaboration, this system shows promise to empower clinicians to work more effectively—with AI as a partner, not a replacement. Healthcare Multi-Agent Orchestrator and the Microsoft healthcare AI models are intended for research and development use. Healthcare Multi-Agent Orchestrator and the healthcare AI models not designed or intended to be deployed in clinical settings as-is nor is it intended for use in the diagnosis or treatment of any health or medical condition, and its performance for such purposes has not been established. You bear sole responsibility and liability for any use of Healthcare Multi-Agent Orchestrator or the healthcare AI models, including verification of outputs and incorporation into any product or service intended for a medical purpose or to inform clinical decision-making, compliance with applicable healthcare laws and regulations, and obtaining any necessary clearances or approvals. 1 arXiv, Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale, February 2, 2025 2 arXiv, MAIRA-2: Grounded Radiology Report Generation, June 6, 2024 3 Nature Method, A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities, Nov 18, 2024 4 arXiv, Medimageinsight: An open-source embedding model for general domain medical imaging, Oct 9, 2024 5 Machine Learning for Healthcare Conference, Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology, August 4, 2023
Seamlessly manage Dragon Copilot with the new Microsoft Dragon admin center
Today, we are thrilled to announce the Microsoft Dragon admin center – a new way to manage your Microsoft Cloud for Healthcare clinical applications including Microsoft Dragon Copilot. This user-friendly platform, built upon Microsoft 365 and Microsoft’s e-commerce framework, enables healthcare administrators to control and manage their licensing, billing and organizational lifecycle with ease and efficiency. The Microsoft Dragon admin center streamlines the implementation and management of clinical applications in the health provider ecosystem, reducing time from weeks or months to days. Microsoft Dragon Copilot can be purchased and provisioned quickly with a few clicks. We are excited to have Microsoft partners and customers try it out! Benefits The Microsoft Dragon admin center provides numerous benefits to healthcare organizations and partners: Efficiency: Streamlines administration of clinical applications through a centralized and unified interface that provides consistency across all administrative functions. Partner Integration: Offers flexibility to embed Dragon Copilot in the Electronic Health Record (EHR) system of choice or resell the application out of the box. Customization: Enables high degrees of customization for administrators managing wide ranges of users. Scalability: Allows healthcare providers to scale clinical applications within a few hours. Compliance: Adheres to Microsoft standards of privacy, compliance, and security. Key Features The Microsoft Dragon admin center offers several key features that make it an indispensable tool for healthcare administrators: Simplified license management, user role assignment, and billing allows customers to easily purchase more or upgrade licenses depending on business needs. Seamless and automated provisioning of the Dragon Copilot application limits deployment delays. Customizable organization hierarchy empowers healthcare administrators to manage their organization in a few clicks. One stop shop for managing Electronic Health Record (EHR) partners and users operating in the embedded Dragon Copilot application reduces the complexity and time required to manage multiple systems and partners separately. Extensive configuration of settings and library objects of Dragon Copilot increases time-to-value. How to Get Started Getting started with the Microsoft Dragon admin center is straightforward: Purchase licenses: Identify the type of billing account you have in M365 and contact your Microsoft representative to purchase licenses. If you are a Microsoft Partner you can purchase through Partner Center. Assign licenses and conduct user role management: Assign licenses and provide different individuals the right roles to administer the Dragon admin center. Once the license and user role management is complete, navigate to the Microsoft Dragon admin center where you will be able to: Provision your Dragon Copilot application. Set up your organization hierarchy and healthcare groups, and manage your Electronic Health Record partners (EHRs). Manage and configure your Dragon Copilot application settings, features, and library objects in the context of your organization hierarchy. For a detailed step by step set-up guide for Microsoft Dragon admin center, please visit: End-to-end workflow overview | Microsoft Learn Conclusion The Microsoft Dragon admin center is a valuable tool that empowers healthcare administrators and streamlines clinical application management. By leveraging its advanced functionalities and user-friendly interface, healthcare organizations can enhance efficiency, accuracy, and customization in their workflows. Learn more about the Microsoft Dragon admin center here: Dragon admin center documentation | Microsoft LearnMastering Agent Governance in Microsoft 365
The "Mastering Agent Governance in Microsoft 365" series is based on the Administering and Governing Agents whitepaper published by Microsoft and designed to educate IT leaders, compliance officers, and decision-makers about the importance of governance for AI agents in Microsoft 365, particularly in highly regulated industries like Healthcare and Life Sciences (HLS). The six-episode series cover the growing role of agents, the risks of unmanaged agents, and the strategic importance of governance frameworks. Empowering innovation while protecting patient data and ensuring compliance In the age of AI-powered productivity, agents—automated digital assistants built with tools like Microsoft 365 Copilot, SharePoint, and Copilot Studio—are transforming how work gets done. From streamlining clinical documentation to automating regulatory reporting, agents are becoming indispensable in Healthcare and Life Sciences (HLS). But with great power comes great responsibility. Why Governance Can’t Be an Afterthought In highly regulated industries like HLS, where data sensitivity and compliance are paramount, the rise of autonomous agents introduces new risks: Unauthorized data access could expose protected health information (PHI). Unmonitored agent behavior could lead to regulatory violations. Lack of lifecycle controls could result in outdated or insecure agents operating in production environments. Agent governance isn’t just an IT concern—it’s a business imperative. It ensures that innovation doesn’t outpace compliance, and that every agent deployed aligns with organizational policies, security standards, and regulatory frameworks like HIPAA, GDPR, and FDA 21 CFR Part 11. Understanding the Agent Landscape Microsoft 365 supports a spectrum of agent creators: End Users using SharePoint or Copilot templates to automate simple tasks. Makers building more complex agents in Copilot Studio. Developers crafting sophisticated, enterprise-grade agents with Azure AI and Teams Toolkit. Each persona requires a different level of oversight. For example, a clinical researcher using SharePoint to build a data retrieval agent may need minimal governance, while a developer building a patient-facing chatbot must adhere to strict data protection and validation protocols. Governance in Action Microsoft provides a layered governance model: Tool Controls: Define what agent creators can do within tools like Copilot Studio and SharePoint. Content Controls: Ensure agents only access data they’re authorized to use, leveraging Microsoft Purview for sensitivity labeling and DLP. Agent Management: Monitor usage, enforce lifecycle policies, and block non-compliant agents via the Microsoft 365 Admin Center. This framework allows organizations to empower innovation while maintaining control—critical in environments where patient safety and regulatory compliance are non-negotiable. The Business Case for Governance For HLS organizations, agent governance delivers tangible benefits: Reduced compliance risk through proactive policy enforcement. Improved operational efficiency by enabling safe automation. Greater trust from patients, regulators, and internal stakeholders. In short, governance is the foundation that allows agents to scale safely and sustainably.
HLS Teams Productivity Summit- Enhance your deployment with new Teams Premium features!
Thank you for being a part of the HLS Teams Productivity Summit. We are pleased to provide you with a copy of today's presentation and recording, which you can find below. We regret to inform you that there is a blank portion of the video between the 26:12-34:24 mark. However, please note that the audio is still accessible, and a copy of the presentation is available below. We apologize for any inconvenience caused by this anomaly. Session Title: Enhance your deployment with new Teams Premium features Session Details: Six years ago, we embarked on an exciting journey with Microsoft Teams to build a hub for collaboration and teamwork using Microsoft Teams. Our work is far from over. We continue to listen, learn, and innovate so all organizations can thrive in an ever-changing workplace. Tune into this session as Teams Engineering provides updates on the new features being rolled into Microsoft Teams. Example of items the team will be reviewing: New Teams Premium SKU overview Review of specific enhancements included within Premium Example use-cases for Premium features Insights into how admins can strategically license users for Premium Target Audience: All- Session is great for Champion Groups Bio: Abigail Sweeney | LinkedIn Grayson Taylor | LinkedIn In her 8th year at Microsoft, Abbie's role as Senior Customer Program Manager in Teams Engineering sees her working with HLS providers, payors and enterprises across the US to drive adoption of Teams throughout their business. With a background and specific interest in Teams Platform and accelerating use in the FLW space, Abbie aims to demonstrate how Teams can be used to digitally transform current processes in the HLS sector and drive collaboration across the business. Grayson Taylor works as a Senior Program Manager in Teams Engineering. He focuses on helping Healthcare and Life Science organizations achieve more by enhancing their Teams deployments through integrations with third-party services and tools. Grayson has additional experience working with regulated industries and is in his seventh year at Microsoft supporting customers.Webinar Series for Microsoft AI Agents
Join us for an exciting and insightful webinar series where we delve into the revolutionary world of Microsoft Copilot Agents in SharePoint, Agent builder, Copilot Studio and Azure AI Foundry! Discover how the integration of AI and intelligent agents is set to transform the future of business processes, making them more efficient, intelligent, and adaptive. In this webinar series, we will explore: The Power of Microsoft Copilot Agents: Learn how these advanced AI-driven agents can assist you in automating routine tasks, providing intelligent insights, and enhancing collaboration within your organization. Seamless Integration with Microsoft Graph: See how Copilot Agents work seamlessly with Microsoft Graph data to improve information retrieval, boost productivity, and automate mundane tasks. Real-World Applications: See real-world examples of how businesses are leveraging Copilot Agents to drive innovation and achieve their goals. Future Trends and Innovations: Get a glimpse into the future of AI in business processes and how it will continue to evolve and shape the way we work. Join us for the Webinars every week, at 11:30am PST/1:30pm CST/2:30 EST: (Click on the webinar name to join the live meeting on the actual date/time or use the .ics file at the bottom of the page to save the date on your calendar) April 2nd: Agents with SharePoint - Watch this Webinar recording for an overview of SharePoint Agents and its key capabilities to enable your organization with powerful Agents helping you search for information within seconds in large SharePoint libraries with 100's of documents. April 9th: Agents with Agent Builder - Watch this Webinar recording for an overview of Agent Builder and its key capabilities to enable organization with "No code" Agents that can be created by any business user within minutes. April 16th: Agents with Copilot Studio- Join us for an overview of Copilot Studio and its key capabilities to enable organization with "Low code" Agents that can help create efficiency with existing business processes. We will feature a few real-life demo examples and answer any questions. April 24th: Agents with Azure AI Foundry - Join us for an overview of Azure AI Foundry and its key capabilities to enable your organization with AI Agents. We will feature a demo of AI agents for prior authorization and provide resources to accelerate your next project. Don't miss this opportunity to stay ahead of the curve and unlock the full potential of AI and Copilot Agents in your organization. Register now and be part of the future of business transformation! Speakers: Jaspreet Dhamija, Sr. MW Copilot Specialist - Linkedin Michael Gannotti, Principal MW Copilot Specialist - LinkedIn Melissa Nelli, Sr. Biz Apps Technical Specialist - LinkedIn Matthew Anderson, Director Azure Apps - LinkedIn Marcin Jimenez, Sr. Cloud Solution Architect - LinkedIn Thank you!Empowering Employees with Purpose-Built Agents Using Agent Builder in Microsoft 365 Copilot Chat
In today's fast-paced work environment, empowering employees with the right tools can make all the difference in productivity and job satisfaction. One innovative solution is the use of purpose-built agents through Microsoft 365 Copilot Chat and Microsoft Teams. These agents are designed to streamline workflows, provide instant assistance, and enhance overall efficiency.Unlock Outlook Productivity with Snooze and new Calendar Scheduling with Copilot
Hey everyone, welcome back! If you're looking to supercharge your productivity, especially with Outlook, you're in the right place. Today, we're diving into some really cool and amazing features in Outlook that can help you stay on top of your game. Snooze Feature in Outlook First up, let's explore the Snooze feature in Outlook. This feature has been around for a while, but it's perfect for those moments when you need to temporarily set aside emails. Whether you're at an event and need to push emails back until you return, or you just need to prioritize your inbox, the Snooze feature is incredibly useful. For example, I often use it when my workload is packed. I can snooze an email until next Monday at 9:00 a.m., which is my focus time. This way, the email is removed from my inbox, helping me stay focused on my current tasks. If you're wondering where the email goes, it will pop back into your inbox at the scheduled time. You can also view all your snoozed emails in the Snooze folder and unsnooze them if needed. This feature is great for maintaining an organized and prioritized inbox. How to Use the Snooze Feature: Open Outlook and go to your inbox. Select the email you want to snooze. Click the Snooze button (clock icon) at the top of the ribbon. Choose a predefined time or select Pick a date to set a custom time. The email will be removed from your inbox and reappear at the scheduled time. To view snoozed emails, go to the Snoozed folder on the left sidebar. Scheduling with Copilot Next, let's talk about scheduling with Copilot. This feature is a game-changer for managing your calendar. When I first joined Microsoft, I found it overwhelming to network and establish new relationships. That's when I discovered this powerful tool. For instance, if I receive an email from a colleague and need to have a broader conversation, I can use the "Schedule with Copilot" feature. It automatically schedules time with the colleague, finds available slots, and even creates an agenda for the meeting. This helps ensure that everyone is prepared and knows what to expect. It's a fantastic way to streamline scheduling and make meetings more efficient. How to Schedule with Copilot: Open the email from the person you want to schedule a meeting with. Click the Schedule with Copilot button at the top of the ribbon. Select Schedule with Copilot. Copilot will find available times for both you and the other person. Review the suggested times and agenda, then click Send to schedule the meeting. Upcoming Feature: Scheduling 1-on-1 Meetings with Copilot Lastly, I want to give you a sneak peek at an exciting upcoming feature: scheduling 1-on-1 meetings with Copilot. This feature is expected to roll in December and January and will make scheduling individual meetings even easier. Copilot understands the context of your emails and can look at both your calendar and the other person's calendar to find the best time for a meeting. After opening the event Copilot created you can even use Copilot to draft an agenda based on the email content, ensuring that your meetings are productive and focused. This feature is particularly useful for maintaining regular check-ins and building strong working relationships. How to Schedule 1-on-1 Meetings with Copilot: Open Outlook and select the Copilot icon at the top right. Enter your prompt to Schedule a 1-on-1 meeting. Enter the name of the person you want to meet with. Copilot will find available times for both of you. Review the suggested times and agenda, then click Send to schedule the meeting. I hope you find these features as exciting and useful as I do. They have certainly helped me become more efficient and organized in my daily work. Whether you're looking to prioritize your inbox, streamline your scheduling, or prepare for upcoming features, Outlook has the tools you need to boost your productivity. Thanks for reading, and I hope these tips help you make the most of Outlook. Have a great day, and I'll talk to you later!
Sign Up Now! Empowering HLS Business Leaders with Copilot for M365
You're invited to Microsoft’s Chicago Office or Virtually Join us in person or virtually with experts from Microsoft and Accenture for an immersive and interactive session to show how Copilot for Microsoft 365 will empower an entirely new way of working. Discover how this cutting-edge AI technology is bringing the power of next-generation AI to work and transforming the way how your organization does business. Hear from industry experts including Dr. Tej Shah, Managing Director at Accenture, and many other healthcare technology thought leaders as they share best practices and innovation case studies they are seeing across the globe Attendance in person is limited to 25 people only. Reserve your seat today and enjoy complimentary lunch and exclusive swag! Sessions include: Executive Opening The Future of Healthcare Introducing Copilot for M365 Copilot Overview Voice of our customers Empowering HLS Business Leaders with Copilot for M365 October 3rd | 9:30 AM – 2:00 PM CST Microsoft Chicago Office 200 East Randolph Drive, Suite 200, Chicago, IL 60601 View map > REGISTER TODAY! Schedule 9:30 am - 10:00 am Registration, Check-in, and Continental Breakfast 10:00 am - 10:15 am Executive Keynote Introduction by Jesse Washington 10:15 am - 11:00 am The Future of Healthcare & Q&A by Dr. Tej Shah 11:00 am - 11:30 pm Introducing Copilot for Microsoft 365 11:30 pm - 12:00 pm Lunch & Networking 12:00 pm - 12:30 pm Copilot for M365 Overview - Why Copilot 12:30 pm – 1:00 pm See Copilot for Microsoft 365 in Action with HLS-Specific Use Cases 1:00 pm – 1:30 pm Voice of the customer – Panel Discussion 1:30 pm – 1:45 pm Closing & Thank YouMicrosoft Teams Productivity Summit - Day 2 Afternoon - Microsoft Approvals and eSign Integration
Learn how to use Microsoft Approvals to bring auditing, compliance, accountability, and workflows to both structured and unstructured Approvals in Teams. Once you have this foundation in place, learn from our Product Group how you can request eSignatures on documents directly from Approvals.
