What are your frictions points between build and revenue?
Turning a great product into Marketplace revenue isn't always straightforward. The latest post in the Sell More with App Advisor blog series highlights How to use App Advisor to avoid 5 common mistakes and sell more on Marketplace Many software companies have the technical capability to build great solutions, but still encounter delays caused by fragmented guidance, uncertainty about next steps, or difficulty navigating Marketplace programs and processes. That's exactly the challenge App Advisor is designed to address. 💬 Where does your team encounter the most friction today? Choosing the right Marketplace offer type? Finding the right architecture patterns or code samples? Publishing and optimizing listings? Understanding co-sell and negotiated deal opportunities? Scaling revenue after launch? If you haven't explored it yet, check out the latest post in our Sell More with App Advisor series and join the conversation.Dataverse → External System (Kajabi) – Licensing Clarification
Hi All, I'm looking to build a solution that utilises Dataverse, and I’m looking for some clarity on licensing for an integration with a third-party platform (Kajabi), specifically around API usage and external users. The main workflow: Data is stored in Microsoft Dataverse Power Automate is used to: Trigger on Dataverse events (create/update) Call the Kajabi API (via HTTP/custom connector) Create users, assign tags, and enrol them on courses Kajabi users: Do not access Power Apps, Dataverse, or Power Platform directly Only interact with Kajabi (external system) My Question: Do external Kajabi users require any Power Platform / Dataverse licensing if they never directly access Microsoft services and only consume data via API? ThanksHow App Advisor simplifies resources to clarify the most relevant next step
For software development companies, the Microsoft Marketplace journey isn’t always linear. It’s a series of decisions: what to build, how to package it, how to publish, and how to sell it, each with real dependencies and real friction. Read more about how App Advisor provides clarity at every stage.
Design 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 agentsBuild 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 MarketplaceBuild and scale AI apps and agents for Microsoft Marketplace success
Ready to move from AI concept to Marketplace success? This article walks through the end-to-end journey of building, publishing, and commercializing AI apps and agents on Microsoft Marketplace—helping software companies navigate the full lifecycle with confidence. From architecture and security to compliance, operations, and commerce integration, Marketplace readiness requires more than a working model—it demands a holistic, production-ready approach. This post introduces a connected framework to guide every stage of development, ensuring your solution is designed for real-world deployment, scalability, and customer trust. Whether you’re refining a prototype or preparing for launch, discover how to align your AI solution with Marketplace requirements from day one and accelerate your path to revenue. Read the full article: Success with AI apps and agents in Marketplace: the end-to-endHow to choose the right Marketplace offer type for your AI app or agent
Selecting the right Microsoft Marketplace offer type is one of the most important—and often most complex—decisions when bringing AI apps and agents to market. In this latest Marketplace blog article, you’ll learn how different offer types align to AI delivery models and why this choice directly impacts architecture, security boundaries, customer experience, and monetization strategy. The article breaks down key considerations across SaaS, Azure Managed Applications, containers, and virtual machines, helping software development companies understand how to balance control, scalability, and operational ownership. It also highlights how offer type decisions influence where AI workloads run, how data is managed, and how customers deploy and interact with your solution. If you’re building or publishing AI solutions in Microsoft Marketplace, this guidance will help you make informed decisions early—before development, security, and go-to-market plans are locked in. Read the full article: Marketplace Offer Types for AI Apps and agents: SaaS vs Managed App vs ContainersHow to design production-ready AI architectures for apps and agents on Microsoft Marketplace
As organizations accelerate the development of AI-powered applications and agents, moving from prototype to production requires a strong architectural foundation. This article explores what it takes to build AI solutions that are ready for enterprise deployment through Microsoft Marketplace—where reliability, security, scalability, and operational readiness are essential. Learn why “production-ready” architectures are critical to meeting customer expectations, how early design decisions impact long-term success, and what patterns software development companies should consider when aligning solution architecture with Marketplace offer types. The article also highlights key considerations around ownership, runtime environments, and operational responsibilities that shape how AI solutions are deployed and supported. Whether you are building your first AI app or scaling an existing solution, this guidance provides a practical foundation for designing trusted, enterprise-ready offerings that customers can confidently run in production. Read the full article: Production ready architectures for AI apps and agents on Marketplace | Microsoft Community HubWhy building secure AI apps and agents early matters for Microsoft Marketplace
Security is a foundational requirement for publishing and scaling AI apps and agents on Microsoft Marketplace. As AI systems become more autonomous, they introduce new trust boundaries across prompts, identity, integrations, and runtime behavior. This article explores why security must be designed in from the start—and how clear guardrails, identity controls, and enforcement help reduce risk, streamline Marketplace review, and build customer trust. Learn what it takes to create Marketplace‑ready AI solutions that are secure, scalable, and enterprise‑ready. Read the full article: Securing AI apps and agents on Microsoft Marketplace | Microsoft Community HubDesign AI guardrails to support and secure enterprise-ready apps and agents in Microsoft Marketplace
As AI-powered apps and agents become more autonomous, clearly defined guardrails are essential for helping protect sensitive data, control system behavior, and meet Marketplace certification and enterprise security expectations. This article explores how software companies can design enforceable guardrails that enable safe AI autonomy—supporting reliability, scalability, and customer trust from day one. Read the full article: Designing AI guardrails for apps and agents in Marketplace
