SharePoint Embedded guide for software companies: success factors, positioning & key insights
Welcome to the definitive Q&A guide for software development companies exploring SharePoint Embedded for their SaaS applications. This blog series addresses the most frequently asked questions from our thriving software company community, drawing from real-world implementations across partner organizations spanning financial services, healthcare, manufacturing, and technology sectors. Whether you're building a multi-tenant document management platform, modernizing legacy systems, or creating industry-specific collaboration solutions, this guide provides practical insights into SharePoint Embedded's unique advantages for software company scenarios. From multi-tenant architecture patterns and customer data isolation to Office integration strategies and competitive positioning, we've compiled the essential knowledge you need to accelerate your development and go-to-market success. SharePoint Embedded represents a paradigm shift for software companies who have traditionally faced the choice between building complex storage infrastructure or compromising on enterprise-grade features. With its consumption-based pricing model, API-first design, and native Office integration, SharePoint Embedded enables software companies to deliver enterprise-ready document experiences while focusing on their core business logic and customer value. Q: What are the key success factors I should focus on as a software company using SharePoint Embedded? A: Based on our analysis of successful software company implementations, there are three critical success factors: Building a scalable document management platform is complicated and detracts from the business logic you want to focus on with your solution. Users are demanding modern collaboration tools that Microsoft Office provides at scale. SharePoint Embedded gives you the foundational tools and features that integrate with your solutions, providing you a competitive advantage. Software development companies can unlock significant value by building on SharePoint Embedded. Its distributed architecture empowers software companies to deliver scalable, multi-tenant solutions, ensuring each customer’s data is securely isolated within dedicated containers. By leveraging SharePoint Embedded, software companies can guarantee that compliance and data residency requirements are met directly in the customer’s own Microsoft 365 tenant, streamlining regulatory approvals and building customer trust. The platform’s flexible, consumption-based billing model aligns costs with actual usage, supporting growth and simplifying budgeting for both software companies and their customers. At the same time, software companies retain full control over their application code base, allowing them to innovate and differentiate their offerings, while Microsoft manages the underlying infrastructure, security, and compliance features. Q: How do I position SharePoint Embedded against competitors in sales situations? A: SharePoint Embedded offers unique competitive advantages across different competitor categories: Against Pure Storage Solutions: Native Office Integration: Unmatched co-authoring and collaboration experiences Enterprise Security: Built-in compliance and governance vs. costly add-on features Microsoft Ecosystem: Leverage customers' existing Microsoft investments Software company-Focused APIs: Purpose-built for integration vs. consumer-focused APIs Against Building Custom Storage: Faster Time to Market: Significantly reduce development time Enterprise Features: Compliance, security, and scale built-in Office Integration: Impossible to replicate the native Office experience independently Global Infrastructure: Microsoft's global scale without operational overhead Against SharePoint Online: True Multi-Tenancy: Better customer isolation and independent scaling Consumption Pricing: Costs align with customer success vs. per-user licensing API-First Design: Developer-friendly vs. SharePoint customization complexity No Limitations: Independent scaling without site collection or storage quotas Q: Is the content stored in SharePoint Embedded AI ready? A: When you ingest documents into SharePoint Embedded, they are automatically added to the platform’s search and semantic indexes. This seamless integration ensures that your content is immediately available for advanced AI capabilities, such as intelligent search, document automation, and content summary. As a result, users can quickly benefit from AI-driven insights and enhanced discovery, making collaboration and workflow automation more powerful and efficient across their teams. AI Ready by Design: SharePoint Embedded provides secure, structured, and highly accessible data storage, ensuring content is ready for AI integration from the start. Robust APIs & Easy Integration: The platform’s powerful APIs and seamless Microsoft ecosystem integration make it simple to connect content to AI services like Azure AI Foundry and Microsoft 365 Copilot. Advanced Capabilities: Organizations can enable advanced search, automation, and generative AI scenarios, leveraging their information in new, intelligent ways. Enterprise-Grade Compliance & Security: Content remains protected with built-in security and compliance, crucial for enterprise adoption of AI-powered workflows. Empowering Business Value: This foundation allows businesses to unlock added value from their content and drive smarter, more efficient operations. Q: What are the key talking points that resonate with enterprise customers? A: For software development companies, these value propositions drive success with enterprise audiences: Onboard your application: Easily deploy your solution through the Microsoft Marketplace to your customer tenant. Content lives in your customer's tenant: Software companies can leverage built-in compliance and security features to speed up enterprise sales cycles and meet stringent requirements. You control the billing: Software companies can grow alongside their customers, with consumption pricing that supports expansion and rewards success. Your customers security posture is honored: When your solution is deployed to customer tenants, it will inherit all the security, compliance and governance they have configured. Content is always maintained in the geo they specify. Risk Reduction for software companies: By utilizing Microsoft’s infrastructure and security, software companies can reassure enterprise customers and minimize operational risk. Q: How do I get started building a POC for my software development companies' solution? A: Follow this proven software company-focused POC approach that has delivered success across our partner ecosystem: Getting started is easy: Install the Visual Studio Code extension and start a 30 day trial of SharePoint Embedded. For longer development cycles that allow you to simulate a real production environment, configure SharePoint Embedded without any storage or throughput limitations. Software Development Company Development Lifecycle for Re-Platforming on SharePoint Embedded Phase 1: Technical Foundation – Begin by establishing a secure, multi-tenant architecture using SharePoint Embedded’s container model to ensure robust customer data isolation. Integrate with Microsoft Office experiences to provide seamless co-authoring and collaboration, a key customer demand. Validate authentication flows for enterprise-grade user security and conduct thorough performance testing to guarantee fast, reliable document access at scale. Phase 2: Business Alignment – Move beyond technical validation to align your solution with real-world customer scenarios. Test end-to-end workflows and migrate sample data from legacy systems, ensuring the platform meets customers’ expectations for business continuity. Collect hands-on feedback from customer users to refine user experience and validate your pricing model based on projected usage, addressing concerns around cost predictability and ROI. Phase 3: Production Readiness – Prepare your solution for launch by executing a comprehensive security and compliance review, leveraging Microsoft’s built-in controls to address enterprise requirements. Perform scale testing with production-sized datasets and user groups to ensure reliability under peak loads. Establish monitoring, alerting, and support processes to deliver a consistent operational experience. Finally, enable your sales and onboarding teams with go-to-market resources, ensuring a smooth transition for customers migrating to your new platform. Key Success Metrics That Address Customer Demands: Verified customer data isolation for privacy and compliance High user adoption of Office integration, satisfying customers’ desire for familiar productivity tools Consistent fast document loading, meeting performance expectations Validated cost model based on real usage, delivering value and transparency to customers By following this development lifecycle, software companies can re-platform on SharePoint Embedded with confidence, addressing top customer demands for security, scalability, seamless Office integration, and predictable costs—all while accelerating time to market and driving adoption. Q: How can I gain additional customers by having my app in the Microsoft Marketplace? A: Listing your app in the Microsoft Marketplace opens the door for software companies to reach new customers and increase sales by leveraging Microsoft’s ecosystem and global reach. The Marketplace acts as a powerful channel to showcase your solution to millions of enterprise buyers who trust Microsoft to deliver secure, reliable products. Technical Resources to Drive Adoption: ISV Success Program – Get expert guidance to optimize your app for Marketplace visibility and customer engagement, ensuring your solution stands out and is ready for enterprise adoption. Solution Architect Reviews – Receive feedback from Microsoft experts to ensure your product meets the needs of customers and is positioned for growth in the Marketplace. Preview Access – Early access to new features helps you differentiate your app, attracting customers looking for cutting-edge solutions. Software Development Company Documentation – Access to tailored implementation guides ensures your SaaS offering is Marketplace-ready and easy for customers to deploy. Go-to-Market Support to Accelerate Sales: Marketplace Listing – Promote your app to a global audience, driving qualified leads and expanding your reach beyond your existing customer base. Partner Development Managers – Benefit from dedicated business support and introductions to new customers in strategic verticals. Co-sell Opportunities – Collaborate with Microsoft’s sales teams for joint selling, increasing your exposure and boosting sales potential. Industry Programs – Join vertical-specific programs and events to connect directly with customers seeking solutions in your area of expertise. In summary, Microsoft Marketplace empowers software companies to accelerate customer acquisition and drive sales growth by providing broad exposure, technical and business support, and opportunities for collaboration with Microsoft’s network. Have more questions or want to talk to the team, contact us at SharePointEmbedded@microsoft.comBuild enterprise-ready AI agents with confidence: Microsoft AI agent envisioning series
In today’s fast-paced software landscape, keeping up with new technologies and frameworks to build secure, scalable, and enterprise-ready AI apps and agents is more critical—and more complex—than ever. The Microsoft AI Agent Envisioning Series is a four-part webinar experience designed to equip software development companies with the frameworks, tools, and strategies needed to build, publish and monetize AI agents using Azure AI Foundry and the Microsoft Marketplace. Whether you're launching new solutions or evolving existing ones, this series will help you accelerate development, ensure compliance, and scale with confidence. Why Attend? Software companies are racing to deliver intelligent, autonomous solutions that scale. But building commercially viable AI agents that are secure, compliant, and enterprise-ready is no small feat. That’s why we created the Microsoft AI Agent Envisioning Series—a webinar series designed to help you build, publish, and monetize AI agents using Azure AI Foundry, with your preferred coding practices and standards. What You’ll Gain Each session delivers step-by-step guidance, technical best practices, and business strategy to help you: Architect AI agents for real-world business impact Package and publish your solution on the Microsoft Marketplace Build trust with enterprise customers through security and compliance Monetize with confidence using proven go-to-market frameworks The Sessions *It is not required to take the sessions in order. Session 1: Introduction to AI Agent Opportunities and Azure AI Foundry Explore the evolution from general LLMs to specialized agents. Learn how Azure AI Foundry simplifies development and unlocks new monetization paths. Session 2: Architecting AI Solutions for Marketplace Monetization Use the Marketplace Lean Canvas to define your agent’s value. Learn how to optimize cost, select models, and align pricing with customer outcomes. Session 3: Publishing & Releasing Your AI Agent Solution Get your solution marketplace-ready. Learn how to configure SaaS and container offers, meet compliance requirements, and find your buyers. Session 4: Winning Customer Confidence with Trustworthy AI and Production-Ready Architecture Dive into the Azure Well-Architected Framework for AI. Learn how to implement observability, tracing, and enterprise-grade security. Built for Software Development Companies Whether you're building net-new agents or transforming existing apps, this series will help you: Accelerate development with Azure AI Foundry templates and SDKs Ensure compliance with SOC 2, GDPR, HIPAA, and ISO 27001 Publish confidently with Partner Center and Marketplace certification Scale globally with Azure’s infrastructure and co-sell programs Ready to Build AI Agents That Scale? Join us and get the frameworks, tools, and strategies to build AI agents that enterprises trust, IT departments approve, and customers love. Register now for the AI Envisioning Day to access all the sessions and start your journey from idea to customer impact.
M365 Developers Update | June 2025
Spotlight Bring the AI capabilities of Copilot into your apps and agents with Microsoft 365 Copilot APIs Learn More Dive deeper into the latest wave of updates to Copilot Studio, now with powerful new tools for multi-agent systems, enterprise data access, custom AI tuning, and more. See all updates Explore the Microsoft 365 Agents Toolkit, an evolution of Microsoft Teams Toolkit, designed to help you build agents and apps for Microsoft 365 Copilot and beyond. Read the docs Introducing the Agent Store: A centralized, curated marketplace within Microsoft 365 Copilot to browse, install, and try agents tailored to your needs. Start browsing Learn Use the Microsoft 365 Agents SDK to build agents for Microsoft 365 Copilot, Microsoft Teams, and more using models provided by Azure AI Foundry. Watch how Try the latest version of Dev Proxy, now with the capability to help you understand language models’ usage and costs in your applications. Get the latest Learn more about Athena, an AI-powered collaborative agent, how it was built, and how to create your own version of Athena right within Microsoft Teams. Read now Keep up to date On Demand: Catch up on all of our breakout sessions from Build Get started YouTube: Tune in for tutorials on the latest dev tools Subscribe now LinkedIn: Get the latest news, product announcements, demos, and more Follow us Community Calls: Learn from our experts on a variety of Microsoft 365 platform topics Join a callM365 Developers Update | May 2025
Spotlight Learn how you can build advanced agents for Microsoft 365 Copilot by leveraging the Microsoft 365 Agents SDK. Join the session Get an in-depth look at building agents in Copilot Studio, with a special focus on the latest innovations and what's ahead. Add to schedule Discover how you can add more knowledge to Microsoft 365 Copilot with Copilot connectors and actions. See more details From Copilot Studio to Visual Studio and Azure AI Foundry, join this session to discover the various ways you can build agents for Microsoft 365. Register now Learn Explore how to build Microsoft Teams collaborative agents as virtual colleagues with Visual Studio Code. Sign up Join us for a session on building advanced copilot Studio agents by integrating Azure AI Search, the Azure model catalog, and Model-Context Protocol (MCP) into your agents. Learn more Build task -specific declarative agents for Microsoft 365 Copilot using advanced recipes in Copilot Studio. View session See how you can build agent in Copilot Studio with deep integration into Azure AI Foundry services. Explore more Tune into this breakout session to learn how to build declarative agents for Microsoft 365 Copilot. Save to favorites Keep up to date Microsoft build labs- Learn how to use all of the latest dev tools in our hands-on labs. Sign up Updated Teams AI library- Create even more powerful agents for Microsoft Teams. Read how LinkedIn- Get the lates news, product announcements, demos and more Follow us Community calls- Learn from our experts on a variety of Microsoft 365 platform topics. Join a callM365 Developers Update | April 2025
Spotlight Debug your agents directly in Microsoft 365 Copilot to streamline your workflow with the agent debugging experience Get Started Learn how to build a declarative agent for Microsoft 365 Copilot that calls a secured API in our three-part series Watch now Introducing agent flows: Transforming automation with AI-first workflows Try it out Learn Discover how you can build AI-enabled voice agents with Azure Communication Services and Azure OpenAI Watch Demo Enhance Microsoft 365 with new Microsoft Graph connectors for AI-powered search, insights, and productivity Read more Try the latest version of Dev Proxy, now with improved validation, plugin reliability, a brand-new Docker image, and more Get it now Keep up to date Microsoft Build- Join us in-person and online to diver into advanced AI and agent capabilities Register now AI Agents Hack 2025- Participat in our hackathon (April 8-30) to learn from experts and build agents for a chance to win prizes Hack together YouTube- Watch tutorials, demos, and more on our channel Subscribe Community calls- Learn from our experts on a variety of Microsoft 365 platform topics Join a callM365 Developers Update | March 2025
Spotlight Learn how to extend Microsoft 365 Copilot with declarative agents using Visual Studio Code Start learning Microsoft Teams agents now support agentic memory, enabling personalized, efficient, and context-aware experiences Learn more Explore all of the pathways available in the Copilot Developer Camp to help you learn how to create agents Watch now Learn Use these code samples to get started developing agents, Microsoft Graph connectors, and plugins Try them out Try our new module to learn when a custom engine agent is a good fit for building agents in Microsoft 365 Begin now Dev Proxy v0.25, now available, brings significant improvements to configuration management, plugin support, and usability Get the update Keep up to date Microsoft Build: Join us in-person and online to explore Microsoft 365 Copilot extensibility and more. Register now YouTube: Watch tutorials, demos, and more on our YouTube channel Subscribe Survey: Tell us about your experience using Teams Toolkit and Developer Portal. Share your feedback Community calls: Learn from our experts on a variety of Microsoft 365 platform topics. Join a callStart coding in minutes with the Quick-start Development Toolkit
The timeline from an idea for an app to coding is longer than most software development companies would like. Understanding the problem is only the first step in deciding what tools can be used to develop and how to code. And, with a dizzying array of development tools and approaches, time can be lost in consideration before anything is ever built. To help solve this problem, use the Quick-start Development Toolkit — collected actionable resources centered around best practice development patterns — that help software companies get targeted code packages to streamline their app development for AI, Copilot, and agents, AWS to Azure multi-cloud replication, or apps integrating Security. How does it work? As companies brainstorm apps to develop, they often know about the business benefits and purpose, the scenarios where the app would be valuable. What they might not have (without several dev cycles) is the general architecture of that app design and a quick way for their developers to iterate with code, seeing if it’s the right approach. As a result, their time to market may be slower and — when developing apps — this can be costly. With the Quick-start Development Toolkit, we’ve brought together the combined knowledge of experts at Microsoft to provide the foundations of getting developers working with applicable code within minutes: Reference solution architecture: to show how components are used and interact, Click-to-deploy reference code: cloud-ready templates get you coding in minutes, How-to articles: for context to help understand products, patterns, and tips to deploy. These streamlined resources help you and your team get ideas off the drawing board and into a tangible prototype within minutes, saving your team valuable dev cycles. Having access to these should cut time and effort from your dev cycles, helping you stay at the forefront of app development. We look forward to seeing your apps in market! Visit the Quick-start Development Toolkit to boost your code cadence today.Strengthening the software development company supply chain with DevSecOps practices
As cyber threats grow in complexity and frequency, embedding security into the product design lifecycle is no longer optional—it’s essential. In the Microsoft Security for ISV series, our fourth session, “Strengthen the software development company supply chain with DevSecOps practices,” provides in‐depth insights into how software development companies can build robust, secure, and resilient applications while accelerating development processes. By integrating security into every phase—from design to production—software development companies can protect customer data, ensure compliance, and build lasting trust. Understanding the Evolving Threat Landscape According to GitGuardian’s 2024 report, public GitHub repositories saw an alarming surge in hardcoded secrets — with nearly 24 million new secrets (23,770,171) added last year. This represents a 25% increase compared to the previous year and highlights a troubling trend: long-lived plaintext credentials such as API keys, passwords, and authentication tokens continue to proliferate in open-source projects. Despite GitHub’s efforts to filter out known credential patterns during the push process, the rise in generic secrets—which can include common usernames, unstructured passwords, or basic auth strings—remains largely unmitigated, providing attackers of any skill level with an easy entry point and the ability to move laterally within systems. Key Security Strategies for Software Development Companies Embedding Security Throughout the Software Development Lifecycle The evolution of DevSecOps is transforming how organizations approach application security. Michael Friedrich, Cloud Solution Architect at Microsoft, underscored two primary challenges: Growing code bases often come with increased vulnerabilities Developers need intuitive security tooling that doesn’t disrupt productivity DevSecOps is all about “shifting security left” by integrating security practices throughout development—as code is written, built, and deployed—instead of addressing vulnerabilities only after production. This approach not only saves time and resources but also reduces the likelihood of exploiting application-level vulnerabilities. Key strategies include: Early threat modelling to identify and mitigate risks before deployment Collaborative workflows that bring together developers and security teams Continuous scanning methods (static analysis, secret scanning, dependency review) to catch issues early For a deeper dive, explore Microsoft’s Secure Development Lifecycle guide (https://www.microsoft.com/en-us/securityengineering/sdl). Integrating GitHub Advanced Security and Microsoft Defender for Cloud GitHub and Microsoft work in unison for a unified secure development experience. GitHub Advanced Security is embedded directly into the developer workflow to detect vulnerabilities through advanced code scanning (powered by CodeQL), secret scanning, and dependency checks. The integration means that security alerts are provided as developers code—not as an afterthought—which speeds up remediation and reduces production issues. In parallel, Microsoft Defender for Cloud (formerly Defender CSPM) offers a cloud security posture management solution that: Pinpoints and prioritizes risks with a context-aware engine Provides actionable, recommendation-driven insights for DevOps environments Delivers continuous scanning across multi-cloud environments and CI/CD pipelines Learn more about Microsoft Defender for Cloud at https://docs.microsoft.com/en-us/azure/defender-for-cloud and enhance your cloud security posture. The Secure Future Initiative: Secure by Design, Default, and Operations Microsoft’s “Secure Future Initiative” (SFI) is comprehensive framework ensures that security is embedded into every stage of product development and operations through three core principles: Secure by Design Incorporate security during the planning and architecture phases Protect identities and secrets from the start with strong key rotation, hardware security modules, and no hard-coded secrets Secure by Default Enforce robust security configurations so that protection is on by default (for example, MFA enforcement and least privilege access) Secure Operations Establish continuous monitoring protocols, rapid incident response, and centralized security logs Use tools like Microsoft Sentinel for real-time threat analytics These foundational elements ensure that as software development companies develop and scale innovative solutions—including those leveraging artificial intelligence—security remains a steadfast pillar. For additional guidance on Secure Future Initiative, visit https://www.microsoft.com/en-us/trust-center/security/secure-future-initiative Strengthening the Software Development Company Supply Chain with Modern DevSecOps Practices Modern software supply chains often include third-party dependencies, open-source libraries, and automated pipelines. Traditional security measures can’t keep pace with today’s integrated development models. Therefore, it’s critical to: Employ code signing and package verification for third-party components Adopt continuous security scanning using solutions like GitHub’s secret scanning with push protection Integrate Microsoft Defender for DevOps for comprehensive visibility from code to cloud For more on secure supply chain strategies, check out the Secure Supply Chain Consumption Framework (https://www.microsoft.com/en-us/securityengineering/opensource) Real-World Insights from BuildKite and the Role of DevSecOps Guest speaker Ken Thompson, VP of Product at BuildKite, shared practical examples from the front lines of secure continuous integration and delivery. BuildKite’s hybrid model, combining a software-as-a-service control plane with open-source on-premises agents, ensures that sensitive code and secrets never leave a customer’s infrastructure. This design enhances security while enabling: Rapid build times with hyper-parallelized pipelines Integrated security scanning within every build, thereby “shifting left” security Proven practices like the SLSA framework for artifact provenance, which verifies that code and pipelines are built in a trusted manner Ken highlighted examples where Uber have reduced build times from an hour to mere minutes while ensuring every pipeline pass incorporates critical vulnerability scanning. This demonstrates that robust security practices and efficiency can go hand in hand. Taking Action: Strengthening Your Security Posture Today Security is an ongoing journey. By adopting proactive security strategies, embracing DevSecOps practices, and integrating industry-leading tools, software development companies can build resilient, trusted applications that stand up to today’s cyber threats. Action Steps for Software Development Companies: Embed security into every phase of your SDLC Strengthen identity and access with strong MFA, conditional access, and the Zero Trust model Secure secrets using Azure Key Vault and GitHub Advanced Security for automated secret scanning Enhance supply chain security through continuous scanning and vulnerability remediation Monitor your cloud environments with Microsoft Defender for Cloud and Microsoft Sentinel for real-time insights Additional Resources: Microsoft Secure Development Lifecycle – https://www.microsoft.com/en-us/securityengineering/sdl Secure Supply Chain Consumption Framework – https://www.microsoft.com/en-us/securityengineering/opensource Cloud Adoption Framework – https://aka.ms/caf Zero Trust Guidance Center – https://aka.ms/Zero-Trust Start with Security – https://aka.ms/trysecurity SaaS Workload Guidance – https://learn.microsoft.com/en-us/azure/well-architected/saas/ Join ISV Success – https://www.microsoft.com/isv
Exploring Azure AI Agent Service: A developer's guide
The world of AI is evolving rapidly, and at a recent TechConnect at the Azure AI Foundry Partner Council, we explored the game-changing potential of Azure AI Agent Service. This session was packed with insights for AI developers, cloud solution architects, and technical decision-makers eager to push the boundaries of agentic AI. If you're looking to simplify development, deployment, and scaling of enterprise-grade AI agents, this service is a must-know. In this blog post, we’ll summarize key topics covered during the session and provide insights into how Azure AI Agent Service can streamline your AI development process. Whether you're a seasoned developer or just starting, this is an exciting opportunity to learn how AI agents can autonomously execute business processes with minimal human intervention. Introduction to AI Agents The session kicked off by defining AI agents and their capabilities. Unlike traditional chatbots, AI agents are goal-driven and can autonomously execute business processes. They can reason over provided business logic, integrate with external data sources, and orchestrate actions to achieve specific goals. This marks a significant shift from simple conversational AI to intelligent, task-driven agents capable of decision-making and execution. Simplifying Development with Azure AI Agent Service Building AI agents traditionally involve working with frameworks like LangChain and Semantic Kernel and AutoGen which require developers to manage state, context, orchestration, and scaling. Azure AI Agent Service eliminates these complexities by offering a fully managed service with: Out-of-the-box tools for faster development Flexible model selection to fit diverse use cases Enterprise readiness with built-in security and scalability This means developers can focus on business logic rather than infrastructure concerns, accelerating the development cycle significantly. Function Calling and Code Interpreter Tools One of the standouts features of Azure AI Agent Service is function calling, which allows agents to interact with external systems by executing predefined functions. The session showcased how developers can: Define and use function calling to connect AI agents to other systems Utilize the code interpreter tool to enable AI agents to generate data visualizations and perform analysis These tools empower developers to create more dynamic and responsive AI agents that can process and present insights effectively. Extending Agent Knowledge with File Search AI agents are only as good as the information they can access. Azure AI Agent Service includes a file search tool that allows agents to tap into external data sources such as product catalogs, knowledge bases, or proprietary documents. This significantly enhances an agent’s ability to answer complex queries and perform in-depth analysis. Real-Time Information with Bing Search For scenarios that require real-time, up-to-date data, the Bing Search tool is a game-changer. The session demonstrated how this tool enables agents to fetch and analyze current web data for use cases like competitive analysis, market research, and trend monitoring. With seamless Bing Search integration, AI agents can stay relevant and informed in an ever-changing world. The training session wasn’t just about concepts, it was packed with practical demonstrations, live coding examples, and troubleshooting tips. You can watch the full session to help you: Understand the core capabilities of Azure AI Agent Service See live implementation of function calling, file search, and Bing Search tools Learn best practices for deploying scalable and secure AI agents Ready to Explore Further? Don’t miss out on the chance to deep-dive into agentic AI to enhance your AI development skills and streamline agent deployment. Check out the recording of the session to take your AI projects to the next level and unlock the full potential of Azure AI Agent Service! About the Azure AI Foundry Partner Council: The Azure AI Foundry Partner Council is a dynamic and collaborative initiative designed to foster innovation and drive advancements in artificial intelligence. This council brings together a diverse group of industry leaders, technology experts, and strategic partners who are committed to leveraging the power of Azure AI to solve complex business challenges. Through the Azure AI Foundry Partner Council, members are empowered to push the boundaries of what is possible with AI, ultimately driving progress and delivering value to their organizations and customers. Call to Action Learn more about how Azure AI Agent Service: Revolutionizing AI Agent Development and Deployment Start trying Azure AI Agent services in Azure AI Foundry or Start building with the SDK documentation Dive deep into enterprise knowledge extensibility in Azure AI Agent Service Learn how to design, customize and manage AI applications with Azure AI Foundry Learn how to empower data-driven decision making with Microsoft Fabric Watch this recorded breakout session from Ignite 2024 to learn more about how companies are automating key business processes with Azure AI Agent Service Watch this live demo at Ignite 2024 to learn how customers are going beyond chat-based interactions Nominate to join the Azure AI Foundry Council via aipartnerteam@microsoft.comBuilding your first AI Agent with Azure AI Agent Service
AI agents are transforming the way developers create intelligent AI applications, and Azure AI Agent Service is leading the charge. At a recent hands-on workshop at the Azure AI Foundry Partner Council, we explored how to build an agent application using Azure AI Agent Service, leveraging its powerful tools and SDKs to simplify AI development. Whether you're an experienced developer or just starting, this blog provides key insights into streamlining AI agent creation and integrating with enterprise systems. In this blog post, we’ll summarize the key topics covered during the workshop and highlight how Azure AI Agent Service empowers developers to create scalable, intelligent agents with minimal complexity. Introduction to Azure AI Agent Service The workshop kicked off with an overview of Azure AI Agent Service, explaining how it enables developers to create goal-driven AI agents with advanced reasoning and execution capabilities. Unlike simple chatbots, these agents can integrate with external data sources, automate workflows, and execute complex business processes autonomously. Creating Your First AI Agent Developers were guided through the step-by-step process of building an AI agent using Python and the Azure AI Agent Service SDK. Key concepts covered included: Setting up the development environment Defining tools for the agent Managing conversations with threads Using system prompts to guide AI behavior Function Calling and SQL Queries One of the most exciting demonstrations involved function calling, where AI agents interact with external systems. The session showcased how agents can: Generate and execute SQL queries Retrieve, analyze, and manipulate real-time data Seamlessly integrate with databases for enterprise applications Code Interpreter for Data Visualization To enhance user interactions, the workshop highlighted the code interpreter tool, allowing AI agents to: Write and execute Python code Generate visual representations like pie charts Process CSV files for advanced data analysis Retrieval Augmented Generation (RAG) Developers were introduced to Retrieval Augmented Generation (RAG), a technique that improves AI responses by leveraging external documents. The session covered: Setting up a simple vector store Using file search to provide context-aware responses This technique is valuable for applications where AI agents need to reference structured data to provide accurate, informed answers. Bing Grounding for Competitive Insights A standout feature discussed was Bing Search grounding, which enables AI agents to: Retrieve up-to-date web data Perform competitive product analysis Deliver real-time business insights By integrating Bing Search, AI agents can stay informed with the latest industry trends, making them highly relevant in business environments. About the Azure AI Foundry Partner Council: The Azure AI Foundry Partner Council is a dynamic and collaborative initiative designed to foster innovation and drive advancements in artificial intelligence. This council brings together a diverse group of industry leaders, technology experts, and strategic partners who are committed to leveraging the power of Azure AI to solve complex business challenges. Through the Azure AI Foundry Partner Council, members are empowered to push the boundaries of what is possible with AI, ultimately driving progress and delivering value to their organizations and customers. Call to Action and Resources Leverage this GitHub Repo with Presenter and Proctor Resources Azure AI Agent Service Documentation Fundamentals of AI Agents on Azure Introducing Azure AI Agent Service Blog Post Python Library Workshop Repository Export and Import Agents using Solutions How to use Grounding with Bing Search in Azure AI Agent Service Sample Code for Custom Functions If you’re looking to take your AI development skills to the next level, don’t miss this opportunity. Watch the recording today and start building intelligent AI agents with Azure AI Agent Service!
