Discover new Microsoft Marketplace innovations announced at Microsoft Build
At Microsoft Build, Microsoft shared new opportunities for software development companies and partners to build, scale, and monetize AI apps and agents through Microsoft Marketplace. Explore how Microsoft Marketplace is helping software companies accelerate go-to-market strategies, expand customer reach, simplify procurement, and unlock new revenue opportunities across the Microsoft ecosystem. Learn how organizations can take advantage of Azure and Marketplace capabilities to support AI innovation and deliver enterprise-ready solutions faster. Whether you’re building intelligent applications, growing your commercial marketplace presence, or exploring new ways to monetize AI-powered solutions, this is a valuable resource for understanding the latest Microsoft Marketplace announcements and opportunities coming out of Build. 👉 Read more: Build, scale, and monetize apps and agents with Microsoft Marketplace
Publishing readiness for AI apps and agents in Microsoft Marketplace
Discover how to prepare AI apps and agents for publishing in Microsoft Marketplace. This Marketplace Community article explains why readiness starts before Partner Center, focusing on the operational, technical, and organizational foundations required to ensure solutions can be evaluated, purchased, and operated reliably. As AI systems manage identity, data, runtime behavior, and subscription lifecycles, gaps in readiness can create friction during certification and customer adoption. Clearly defined identity boundaries, consistent data handling practices, and predictable responses to subscription events help ensure solutions behave as expected across environments and tenants. Learn how to establish publishing readiness that supports smooth certification, reliable operations, and confident customer adoption at Marketplace scale. Read more: Publishing readiness for AI apps and agents on Microsoft MarketplaceDesign CI/CD pipelines for AI apps and agents in Microsoft Marketplace
Discover how to design CI/CD pipelines for AI apps and agents selling through Microsoft Marketplace. This Marketplace Community article explains why controlling how changes reach production is essential for maintaining predictable behavior, reliability, and customer trust. As AI systems evolve through updates to code, models, prompts, and agent logic, behavior can change in ways that impact cost, performance, and outcomes. Structured pipelines that isolate change, validate behavior, and enable safe promotion and rollback help ensure updates are introduced deliberately—without unexpected impact across environments or tenants. Learn how to design CI/CD strategies that support safe iteration, controlled releases, and consistent behavior as AI solutions scale in Marketplace environments. Read more: Design CI/CD for AI apps and agents selling through Microsoft MarketplaceDesign reliable environment strategies for AI apps and agents in Microsoft Marketplace
Discover how to design a reliable environment strategy for AI apps and agents selling through Microsoft Marketplace. This Marketplace Community article explains why structured Dev, Stage, and Production environments are essential for safe updates, predictable behavior, and long‑term customer trust. As AI systems evolve through prompt updates, model changes, and shifting data contexts, behavior can vary across environments. Clear environment separation, controlled promotion paths, and consistent configuration boundaries help prevent regressions, support validation, and ensure changes can be introduced safely without impacting production workloads. Learn how to design environment strategies that enable confident iteration, support Marketplace readiness, and help customers operate solutions predictably at scale. Read more: Designing a reliable environment strategy for Microsoft Marketplace AI apps and agentsEnforce AI entitlements using Marketplace commerce signals
Discover how to enforce entitlements in AI apps and agents using Microsoft Marketplace commerce signals. This Marketplace Community article explains why purchase and subscription data must be integrated at runtime to ensure customers only access what they’ve paid for. As AI apps and agents dynamically invoke tools, expose capabilities, and operate without constant user input, static enforcement approaches fall short. Translating Marketplace signals into deterministic runtime behavior—across SaaS, containers, virtual machines, and managed applications—ensures access is controlled, auditable, and aligned with subscription state. Learn how to design entitlement enforcement that remains consistent through plan changes, scaling workloads, and real‑time agent decisions. Read more: Integrate Marketplace commerce signals to enforce entitlements in AI appsDiscover how AI-powered agents on Microsoft Fabric are accelerating retail merchandising decisions
Retail organizations are under increasing pressure to move faster and make smarter, data-driven decisions at scale. In this latest Marketplace Partner Spotlight, Microsoft highlights how AI agents built on Microsoft Fabric are helping merchandising teams transform complex operational data into actionable insights—without leaving the security of their existing data environment. By leveraging Microsoft Fabric and OneLake as a unified data foundation, partners like Lucid Data Hub are enabling retailers to automate time-intensive reporting processes and shift toward continuous, insight-driven workflows. These business-ready AI agents can analyze large volumes of sales and operational data, surface meaningful trends, and deliver clear recommendations—empowering buyers and store leaders to act faster and with greater confidence. The impact is tangible: merchandising teams can reduce hours of manual analysis into minutes, uncover item-level performance insights, and identify opportunities across store clusters to optimize outcomes. If you’re exploring how AI agents, Microsoft Fabric, and the Microsoft Marketplace ecosystem can drive intelligent automation in retail, this article offers practical insights and real-world examples to help you get started. 👉 Read the full article AI agents on Microsoft Fabric for faster retail merchandising decisionsHow governed agentic AI is transforming professional services workflows
Discover how partners are building industry-specific AI solutions in Microsoft Marketplace using governed, agentic workflows tailored for professional services. In the latest Partner Spotlight, Richard Baskerville, Senior Director of Strategic Global Alliances at Intapp, shares how “Firm AI” delivers purpose-built capabilities aligned to the unique needs of professional and financial services firms—combining deep workflow expertise with the scale, security, and compliance of Microsoft Azure. This article explores how agentic AI enables end-to-end workflow automation while maintaining human accountability, helping firms modernize operations across client engagement, risk management, and business processes. See how Microsoft Marketplace empowers partners to bring trusted, enterprise-ready AI solutions to customers, accelerating adoption and unlocking scalable growth opportunities. Read the full article: Firm AI for professional services: governed, agentic workflows built on Microsoft Azure | Microsoft Community HubCustomer office hour: Dragon Copilot AI apps and agents in Microsoft Marketplace
May 28 | 8:30 AM PT Join the next Microsoft Marketplace customer office hours session to explore how AI apps and agents and Dragon Copilot can help healthcare organizations reduce administrative burden and streamline clinical workflows. In this session, you’ll learn how to move from AI exploration to real world deployment. Discover how Dragon Copilot can help accelerate time to value by connecting with trusted partner solutions that streamline workflows and embed AI directly into daily operations. Learn more and attend Dragon Copilot AI apps and agents in Microsoft Marketplace - Microsoft Marketplace CommunityBuild observability for scalable AI apps and agents selling through Microsoft Marketplace
Discover how to design observability for AI apps and agents selling through Microsoft Marketplace. This Marketplace Community article explains why visibility into execution behavior is essential for operating AI systems confidently at scale—not just keeping them running. As AI apps and agents reason, branch, retry, and exit dynamically at runtime, traditional infrastructure metrics fall short. Behavioral signals such as execution flow, token usage, latency, and failure patterns help explain what systems are doing, why outcomes occur, and how limits and safeguards shape behavior across tenants and environments. Learn how observability turns runtime telemetry into clarity that supports customer trust, usage‑based billing, and scalable operations. Read more: Design observability for AI apps and agents selling through Microsoft MarketplaceDesign resilient API execution for AI apps and agents in Microsoft Marketplace
Discover how to design resilient and reliable APIs for AI apps and agents selling through Microsoft Marketplace. This Marketplace Community article explains why reliability is a critical readiness requirement and how predictable API behavior protects customer trust when systems encounter failure. AI apps and agents depend on APIs for every stage of execution—from model inference to tool calls and orchestration. Designing clear API boundaries, enforcing timeouts and retries, and applying resilience patterns such as circuit breakers and bulkheads helps contain failures, prevent cascading issues, and keep agent behavior bounded as solutions scale. Learn how to design AI systems that fail safely, operate predictably, and remain stable under real customer load across Marketplace environments. Read more: API resilience and reliability patterns for AI apps and agents selling through Microsoft Marketplace
