Chart your AI and agent strategy with Microsoft Marketplace
For enterprise teams, the strategic question is not just whether to use AI, but how to operationalize it without turning every pilot into a bespoke platform project. A marketplace model changes the architecture conversation: instead of assembling model access, provisioning, identity, networking, and runtime controls from scratch, teams can standardize selection and deployment around a governed catalog. That can reduce friction, but it also makes platform policy, approvals, and lifecycle management more important, not less.
The key trade-off is control versus reuse. Pro-code teams still need clear boundaries for custom logic, data handling, and model behavior, while low-code teams need guardrails that prevent shadow automation and inconsistent integrations. In practice, the value of a marketplace depends on how well it fits existing identity, tenant isolation, and change-management processes. If those controls are weak, faster acquisition can simply move risk earlier in the lifecycle rather than removing it.
Integration is the real determinant of time-to-value. AI apps and agents become useful when they connect cleanly to internal data sources, workflows, and case systems without creating duplicated interfaces or brittle handoffs. That means architects should evaluate not only the model or agent itself, but also how it will be monitored, versioned, and retired across the Microsoft stack. The operating model matters as much as the technology choice.
For security and resilience teams, the useful lens is governance by design. The practical questions are whether the deployment preserves data boundaries, how secrets and identities are handled, and how third-party capabilities are reviewed before production use. A unified catalog can simplify procurement and discovery, but lasting value comes from pairing that convenience with disciplined policy, observability, and clear ownership across development, compliance, and operations.
Build customย AI applicationsย with modelsย and appsย from Marketplace
Microsoft Marketplace provides access to more than 11,000 prepackaged models, as well as over 4,000 AI apps and agents, to help you build a custom AI solution. Whether youโre doing pro-code work with programming languages, frameworks, and APIs or a low-code method with pre-built components and minimal coding, Marketplace and Microsoft products support your development. Pro-code buildsย give you complete control withย custom logic, custom data handling, and governance by design.ย Youย canย also own your IP, which can be essential in industries like financial services or advanced manufacturing. Marketplace provides access to thousands of models, including leading models from Anthropic, Cohere, Meta, OpenAI, and NVIDIA, that can ground custom agents with high-quality building blocks, dramatically reducing development time while preserving full ownership of logic and data. Prepackaged models available through Marketplace can accelerate building your solution with faster deployment because teams donโt have to build their stack. You can set up a specialized graphics processing unit (GPU) server, install drivers and AI runtimes, find and download the right models, and fine tune for compatibility and performance. Models are accessible in the Marketplace storefront as well as in the Azure portal and Microsoft Foundry, so teams can do what they need in the flow of work and deploy models securely in their Azure environment. Alternatively, low-code builds can be done quickly and benefit from tight platform integration and standardization. As your organization seeks to maximize impact with Microsoft Copilot, team members can use Microsoft Copilot Studio to design, extend, and govern custom AI copilots with responses securely grounded in your companyโs data. With Copilot Studio, you can build with a low-code platform using models from Anthropic and OpenAI to create agents that support orchestration, chat, and deep reasoning.Buy ready-made solutions through Marketplace
Buying your AI application or agent becomes the pragmatic choice when the solution you need already exists with proven value and capabilities. For many organizations, buying is the fastest path to productionโespecially if resourcing constraints make custom builds unrealistic. Microsoft is helping organizations in the shift to agentic AI whether youโre looking for singular agents that integrate into Microsoft 365 Copilot or fully autonomous multi-agent systems. Marketplace, as an extension of the Microsoft Cloud, gives you confidence in selecting AI apps and agents from discovery through deployment. Filter by product, category, or industry in the storefront to find the right solution for your specific needs. Then, Marketplace supports try-before-you-buy with trials or proof-of-concepts within your Microsoft environment so you can ensure the solution is right for your business. Once youโve made your decision, Marketplace offerings align to your existing Microsoft investments, so there is seamless provisioning for administrators in a familiar and trusted experience, whether itโs a SaaS application in Azure or an agent in Microsoft 365 Copilot. In addition, if your organization has an Azure consumption commitment, eligible solutions count toward your contractโdollar-for-dollar, no limit.Customize yourย AI strategy: a blended approach
Many organizations will land somewhere in the middleย of buildingย from scratchย andย buyingย a finishedย AIย application.ย Aย blended strategyย allows you toย extend partner solutions with your own IP, customize layers that drive differentiation, andย leverageย pre-built components to reduce engineering effort. For example, a common scenario in the financial services industry is modernizing fraud and anti-money laundering detection systems that identify suspicious transactions or spot unusual customer behavior. Rebuilding these systems requires large rules engines and manual effort which can generate high false-positive rates and compliance fatigue. With Marketplace, firms can deploy pre-built fraud and machine learning (ML) models and risk-scoring engines with compliant APIs in minutesโall running inside their Azure tenant using Managed Identity, so sensitive data stays secure. Once deployed, teams can immediately begin blending the models with their existing workflows, data pipelines, and case management systems. Instead of recertifying every new model or scenario, organizations can test, compare, and iterate rapidly without reopening full compliance reviews each time. This allows them to improve ML and fraud detection at a fraction of the cost and time required to rebuild systems internally, accelerating their journey to become Frontier.Start discovering with Microsoft Marketplace
As your organization moves through Frontier Firm transformation, Microsoft Marketplace provides a unified, governed, and trusted ecosystem to innovate, while streamlining discovery, purchase, and deployment. A growing catalog of AI apps, agents, and models is available in the storefront and contextually surfaced in the Microsoft products you use every day. Whether you are building bespoke agents, deploying proven partner solutions, or blending both approaches, Marketplace helps AI practitioners and technology leaders focus on delivering measurable business impact at scale.- Start searchingย theย Marketplaceย catalog
- Explore Marketplace benefits with access to demos, case studies, and guides
- Watch the webinarย on โCharting your agent strategy with Marketplaceโ

Discover cloud-based solutions with Microsoft Marketplace
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