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190 TopicsPartner Spotlight: Orchestry’s transactable offer powers Copilot-ready governance
In our latest Marketplace blog, we spotlight Michal Pisarek and the team at Orchestry, a Microsoft 365 governance platform helping organizations streamline lifecycle management and tighten permissions to stay Copilot-ready. Built entirely on Azure and integrated with Microsoft Graph, Orchestry transforms noisy tenant signals into actionable insights—like identifying overshared sites and ownerless teams—and enables rapid remediation at scale. Learn how publishing a transactable offer on Microsoft Marketplace helped Orchestry simplify procurement, accelerate customer onboarding, and scale their governance solution to more organizations with less friction. Read the full article16Views1like0CommentsAccelerating Copilot-ready governance with a transactable offer
Welcome to another edition of our Partner Spotlight series, where we continue to highlight the trailblazers shaping app and agent innovation across the Microsoft Marketplace. Each feature dives into the unique journey of a partner building AI-powered solutions, leveraging the Microsoft ecosystem, and delivering transactable offers that are redefining how customers engage and buy. In this article, I connected with Michal Pisarek from Orchestry to explore their story, their path as a Microsoft partner, and how they’re helping organizations get Copilot-ready with smarter governance and streamlined adoption. About Michal [MP]: Michal Pisarek is CEO and Janitor of Orchestry, a Microsoft 365 governance platform that helps enterprises tighten permissions, streamline lifecycle management, and stay Copilot-ready. A multi-year Microsoft MVP and Service Adoption Specialist, he has led product and go-to-market in the Microsoft ecosystem for more than 15 years, including co-founding Bonzai Intranet (acquired in 2018). He speaks and writes on Microsoft 365 governance, permissions, and adoption. ________________________________________________________________________________________________________________________________________________________________ [JR] Tell us about Orchestry. What products or services do you offer? [MP]: Orchestry is a Microsoft 365 management platform for IT admins and platform owners. We help organizations improve security, governance, and adoption by giving clear visibility across Teams and SharePoint, highlighting what matters, and making it easy to act. Our product surfaces issues, recommends next steps, and lets teams remediate quickly so the tenant stays healthy and Copilot-ready. [JR] What problem does Orchestry solve for your customers? [MP]: Microsoft 365 generates a lot of signals and not much guidance. Orchestry turns that noise into a ranked list of fixes, like overshared sites, ownerless teams, and risky groups, and lets you remediate these issues quickly, easily and at scale. [JR] Which Microsoft technologies or services does Orchestry leverage? [MP]: Orchestry is all-in on the Microsoft stack. We are built on Azure, using Azure Front Door, Azure App Services, Entra ID, and Azure DevOps. We securely use Microsoft Graph to gather data and perform actions, and we rely on multiple Azure storage services, including Azure Cosmos DB, Azure Table Storage, and Azure SQL Server. To ensure world-class security, we use Defender for Cloud, Azure Key Vault, Microsoft Purview, and more. [JR] What motivated you to publish a transactable offer on the Microsoft Marketplace, and what buying friction did it remove? [MP]: Our buyers already purchase in Microsoft Marketplace, so meeting them there made sense. We published Orchestry for Microsoft 365 as a transactable offer because it uses a procurement path they trust, with approval flows their finance team recognizes. Making the offer transactable removed two consistent blockers: adding us as a new vendor and negotiating non-standard payment terms. Private offers allow us to match how budgets actually work, including monthly billing when that clears the gate. Where a customer is eligible, Microsoft Azure Consumption Commitment (MACC) gives them a clean way to fund the purchase without finding new budget. There are fewer internal handoffs, faster agreement on terms, and a shorter path from evaluation to deployment. [JR] What business impact have you seen since publishing your offer? [MP]: We have seen faster progress on two fronts. When Marketplace is part of the motion, the sales cycle moves more quickly because customers can evaluate and purchase without switching systems. On the procurement side, vendor onboarding drops away, and payment terms are simpler. Our first Marketplace deal closed in under 60 days, and typical procurement through Marketplace has gone from about 120 days to under 30. That aligns with what we see broadly: ~25% faster sales cycles and ~75% shorter procurement when customers transact through Marketplace. [JR] Did you use Microsoft programs or benefits such as ISV Success, Marketplace Rewards, or Co-sell to support publishing and go-to-market? Which ones mattered most? [MP]: Different programs helped at different stages. Microsoft for Startups (Pegasus) was a key accelerator for us, aligning us with Microsoft field motions and getting our offer ready for Marketplace. Our listing is Azure benefit eligible, so customers can draw down MACC where applicable, which has been important in late-stage deal navigation. We are IP co-sell ready, and we also participate in Marketplace Rewards, which let us use Azure credits, earn sales rebates, and get dedicated support from a Microsoft account rep. [JR] How has transacting directly on the marketplace influenced your sales strategy and customer engagement? [MP]: We bring Microsoft Marketplace into the conversation at the first budget discussion. Finance gets the instrument they already use, security stays on a familiar review path, and the project team can move from trial to purchase without switching systems. The net effect is that we spend less time debating how to buy and more time on why to buy. Where a customer is eligible, MACC resolves funding quickly. Where terms are the issue, a private offer lets us tune length and billing without reopening legal. Because evaluation, purchase, and provisioning sit inside the Microsoft ecosystem, the handoff from proof of value to deployment is cleaner and the perceived risk is lower. Internally, Marketplace is a defined selling motion: early alignment on route to buy, late-stage precision on terms, fewer distractions in the middle. [JR] Can you share one customer example that shows a before and after because of Marketplace? [MP]: For a recent deal, the problem wasn’t interest, it was budget cadence. We typically sell on annual terms, but we kept the transaction inside Microsoft Marketplace and issued a private offer with monthly billing. That aligned spend to their cash flow, used an approval path finance already recognized, and converted a “next fiscal” conversation into an immediate start. [JR] How did you approach building securely on Microsoft Azure, including key architecture choices, your data model, and any verifiable certifications? [MP]: Security starts with the platform. We build on Microsoft Azure and authenticate with Microsoft Entra ID, integrating with Microsoft 365 through Microsoft Graph where appropriate. We follow Microsoft cloud security best practices, and we operate with continuous monitoring via Drata, regular vulnerability scanning, independent penetration testing, and annual third-party audits. We maintain SOC 2 Type II and are in the process of getting ISO 27001 as well. Microsoft Azure has all the key security certifications that our customers expect and trust, so it was the platform of choice for us to build our business on. [JR] How is Orchestry using, or planning to use, AI today, including Copilot readiness, and what business outcomes have customers seen? [MP]: We approach this in three parts: how we help customers get Copilot-ready, how we use AI ourselves, and how that shows up in the product. Copilot is only as good as the permissions and content behind it, so Orchestry tightens access, reduces oversharing, cleans ROT (redundant, obsolete, and trivial), and puts guardrails in place. In practical terms, we identify overshared sites and ownerless workspaces, flag risky groups, recommend right-sizing access, and give admins one-click remediations and workflows so Copilot is working with the right material. The Orchestry team uses Microsoft 365 Copilot across the business, GitHub Copilot in engineering, and AI for analysis and prototyping, which shortens research, speeds routine code work, and helps us test ideas faster. In large tenants preparing a Copilot pilot, the first pass focuses on exposure and hygiene: remove or downgrade risky sharing links, eliminate ownerless Teams, and produce an archive-ready list of stale sites. Customers commonly clean up about 75% of unused Teams within 10–14 days, which quiets the noise and moves the pilot faster. In one case, storage cleanup paired with Microsoft 365 Archive freed 34+ TB, lowering costs and giving the customer a cleaner Copilot baseline. The goal is straightforward: less oversharing, faster remediation, and Copilot answers grounded in what people are actually permitted to see. [JR] How is Orchestry thinking about the role of agents in Microsoft 365, and what opportunities do you see for agent-driven automation in governance and remediation workflows? [MP]: At Orchestry, we see agents as the next major shift in M365 governance and automation. As organizations scale their use of agents, governance will become critical — and we intend to lead there. Our vision is simple: Orchestry will not only monitor and govern Microsoft 365 agents, but it will also be the agent that automatically fixes issues behind the scenes. One day, admins will log in to Orchestry and see “Everything is good,” because the platform will have already handled it. [JR] What key takeaways would you share with partners considering a similar path, and how has the Marketplace experience shaped your roadmap? [MP]: Publish transactable sooner than your instinct. Decide private-offer rules before the first redline. Only name programs and certifications you can substantiate; procurement will ask. Marketplace is now a core go-to-market pillar for us because it shortens closing, makes it easier for Microsoft sellers to engage, and keeps our team focused on product and outcomes instead of paperwork. ________________________________________________________________________________________________________________________________________________________________ Resources Join ISV Success - Build and publish applications and agents faster with powerful AI developer tools, consultations, and technical guidance—then grow your sales through Microsoft Marketplace Join the marketplace community - Access resources for every stage of the journey on the Microsoft Marketplace, provide feedback, and engage with other partners and Microsoft subject-matter experts focused on your success. Microsoft Marketplace - Your trusted source for cloud solutions, AI apps, and agents Paths for partnership - Learn more about the ways you can partner with us—from building and selling solutions to differentiating your business with a Solutions Partner designation. Microsoft Marketplace transactable offers - Pricing, billing, invoicing, and payout considerations for transactable offers sold through the Microsoft Marketplace152Views1like0CommentsA note about the FY26 Build and Publish Incentive
For anyone here who is/was Top Tier in FY25: You ARE eligible for the Build and Publish incentive (up to $100k) through 31 December - even though you might have been told otherwise. I mention this here because we were initially told "No, you are not eligible because you still need to have an Azure or industry CSD." Took a wee bit of perseverance, but we broke through the denials and received confirmation yesterday that the incentive is on its way to us. Probably a niche scenario, but please do feel free to message me if you were also told no on this incentive - I'll be happy to share how we got to 'yes.' #marketplacechampions #sponsored6Views1like0CommentsReimagining business with AI agents: A Partner Spotlight on KAISPE
In today’s rapidly evolving AI landscape, the shift from general-purpose models to specialized, autonomous agents is reshaping how businesses operate—and how partners innovate. Our latest blog in the Microsoft Marketplace Partner Spotlight series explores this transformation through the lens of KAISPE, a global Microsoft Partner leading the charge in intelligent automation. In this feature, KAISPE CEO Imran Mahmood shares how their team is leveraging Microsoft technologies—including Azure, Dynamics 365, and Power Platform—to build secure, scalable business applications that act more like proactive teammates than passive tools. With over 20 IPs listed on the Marketplace, KAISPE exemplifies how agentic AI can unlock new efficiencies, improve decision-making, and deliver transactable solutions that drive real business impact. Whether you're exploring AI agent architecture, building SaaS offers with Azure AI Foundry, or planning your next skilling initiative, this article offers a compelling look at the future of business agents—and how partners can lead the way. Read more about KAISPE's journey12Views0likes0CommentsAI architecture: Powering the next generation of business agents
In this installment of our Partner Spotlight series, we’re continuing to showcase the innovators’ driving app and agent development forward on the Microsoft Marketplace. Each feature highlights the distinct journeys of partners who are pioneering AI-powered solutions, building across the Microsoft ecosystem, and delivering transactable applications that are shaping the future of the marketplace. In this article, I sat down with Imran Mahmood from KAISPE to learn more about their story and partner journey. About Imran: Imran Mahmood is the Chief Executive Officer of KAISPE, leading the company’s vision to deliver AI-powered, secure, and scalable business applications through Microsoft technologies. With over 20 years of experience in enterprise technology and digital transformation, Imran has guided KAISPE’s growth as a global Microsoft Partner with 20+ IPs listed on Microsoft Marketplace. He also oversees KAISPE AI for AI Center of Excellence, driving innovation in AI agents, intelligent automation, and Microsoft ecosystem integration. _______________________________________________________________________________________________________________________________________________________________ [JR]: Tell us about your organization. [IM]: KAISPE is a Microsoft Partner and software development company focused on developing intelligent, secure, and scalable business applications that help organizations accelerate their digital transformation. Our core expertise includes AI and cloud-based business applications built on Microsoft technologies such as Dynamics 365, Power Platform, and Azure. With a growing portfolio of over 20+ IPs listed on Microsoft Marketplace, KAISPE’s solutions help businesses automate processes, enhance decision-making, and improve user experience. [JR]: What inspired the founding? [IM]: KAISPE was founded with the vision to bridge the gap between complex enterprise systems and user-centric experiences. We recognized that many organizations were still managing manual, time-consuming processes, and saw an opportunity to build smarter, AI-driven solutions that make technology feel like an extension of the team not a barrier. This commitment to solving real business pain points through innovation and simplicity continues to drive our product strategy. [JR]: What products/services do you offer? [IM]: Our portfolio includes industry-specific and horizontal business applications and offer several SaaS and PaaS based solutions and services including such as AutoRecruit (AI-powered recruitment automation), Supplier Relationship Management, Field Service (intelligent field operations), MyFieldAgent, and Employee Self Service. Beyond apps, we are investing heavily in our AI Center of Excellence (AI CoE), which drives innovation in developing intelligent AI agents for recruitment, field service, procurement, and customer support all powered by Microsoft Azure AI and OpenAI technologies. KAISPE’s journey with AI agents Building autonomous agents that think, act, and deliver across industries [JR]: What does your app or agent do, and who is it designed for? [IM]: KAISPE develops AI-powered business applications and intelligent agents that help organizations automate workflows, enhance productivity, and make smarter decisions. Our solutions serve a wide range of users—from field engineers and recruiters to suppliers and enterprise employees. Examples include: MyFieldAgent: Real-time AI support for field engineers with role-based access ensures focus and data security. AutoRecruit & Recruitment Hub: AI-driven hiring tools for job descriptions, resume parsing, skills matching and candidate assessments. MyJobMate: AI-powered job matching and applicant engagement. MyProcureBot: A conversational and autonomous assistant that helps suppliers easily create quotes, manage contracts, and update vendor information automatically. AutoAPX, Travel & Expense & Sales Field: Automate invoice processing, utilize OCR for receipt scanning and leverage AI to auto-categorize expenses based on recognized text and patterns and capture customer data from business cards. Field Service: Uses AI to detect anomalies or irregularities from site images, identify objects automatically, and with Copilot, quickly check inventory, fulfillment dates, and summarize data. All solutions are built under KAISPE’s AI Center of Excellence (AI CoE) and leverage Microsoft Azure AI, Copilot Studio, Power Platform, and Dynamics 365 for secure, scalable, and deeply integrated experiences. [JR]: How has your solution evolved since its initial launch? [IM]: Our journey began with single-use applications tailored to specific customer needs. Over time, we transitioned to standardized, scalable SaaS models with embedded AI features and marketplace deployment. With the launch of our AI CoE, we now build modular agents that personalize and automate workflows at scale—each iteration bringing stronger security, better UX, and deeper integration with Microsoft’s cloud ecosystem. [JR]: What motivated you to start building agents, and what business outcomes have you seen? [IM]: We wanted to make business applications more intelligent and human-like. Users needed faster assistance and guided workflows without relying on back-office teams. That’s why we introduced Agentic AI task-oriented, conversational agents that act and decide autonomously to improve efficiency and create intuitive user experiences. As a result, our customers experience fewer operational delays, faster decision-making, and higher satisfaction. [JR]: How do you prioritize standalone agents versus embedded (in-app) agents in your roadmap? [IM]: We take a strategic approach. Embedded agents enhance existing app experiences—for example, integrating Copilot into Field Service or Travel & Expense Management. Standalone agents like MyProcureBot serve broader use cases across multiple apps. The decision depends on customer needs: if it’s about improving a specific workflow, we embed; if it’s about offering an assistant across systems, we go standalone. [JR]: How have your customers responded to conversational or task-based agents compared to traditional app interfaces? [IM]: Enthusiastically. Solutions like MyFieldAgent, MyJobMate, and MyProcureBot show that users prefer natural interaction over complex menus. Conversational agents simplify tasks and drive higher adoption rates. For many organizations, they’ve transformed routine operations into quick, AI-assisted experiences. [JR]: Which Microsoft tools or frameworks have been most valuable for building agents? [IM]: Microsoft’s stack has been essential: Copilot Studio: For building conversational flows and task logic. Azure AI Studio & Azure OpenAI: For natural language understanding and generative capabilities. Azure Cognitive Services: For speech recognition, translation, and vision features. These tools help us design intelligent, scalable agents that integrate seamlessly with Dynamics 365, Microsoft 365, and Power Platform. [JR]: What challenges have you faced in designing context-aware agents, and how have you overcome them? [IM]: Users expect agents to remember intent and switch topics smoothly. To meet this expectation, we built a context management layer that tracks conversation history, remembers user actions, and connects to backend systems like Dynamics 365. This ensures our agents feel natural and aware—not robotic. [JR]: How do you see agents driving differentiation and discoverability on Microsoft Marketplace? [IM]: Our agent-powered solutions showcase practical AI innovation. When customers explore the Marketplace, they see our focus on conversational, intelligent experiences. This builds trust and aligns with Microsoft’s vision for AI-powered workplaces—helping KAISPE stand out as a partner delivering measurable impact. [JR]: What’s next for KAISPE in terms of agent innovation? [IM]: We’re expanding our AI CoE to focus on multi-agent orchestration and industry-specific templates—starting with healthcare. Our new offerings, KAISPECare and TherapyCare, will deliver agentic AI experiences for small and medium-sized healthcare centers. AI Copilot for Doctors: Auto-generate patient visit summaries Risk flagging for chronic diseases Voice-to-EMR note assistant Drug interaction checking AI Copilot for Patients: Smart appointment suggestions Symptom checking (pre-visit triage) Voice-based booking and registration AI Copilot for Admins: Flag inconsistent or duplicate charges Auto-apply billing codes Generate invoice drafts from consultation notes These Autonomous Agents will empower healthcare professionals with intelligent, voice-driven workflows that save time and improve care. [JR]: How are agents impacting business decision-making for customers? [IM]: Built on AI Foundry, these Agentic AI–powered autonomous agents analyze context, history, and trends to deliver real-time insights and take action based on user intent. In areas like procurement or recruitment or during inspection, they recommend next steps, flag risks, and even handle routine tasks helping businesses make faster, smarter decisions with minimal effort. [JR]: How do you ensure agents stay relevant and continuously learn? [IM]: Through our AI CoE, we continuously update agents based on feedback, performance data, and new Microsoft features. Using Copilot Studio and Azure OpenAI, we feed structured and unstructured data to agents and connect to external knowledge sources. We retrain models regularly to refine responses, improve tone, and adapt to evolving business needs. Marketplace journey & transactable offers [JR]: What motivated KAISPE to publish a transactable offer on the Microsoft Marketplace, and what impact has it had on your business? [IM]: KAISPE saw Microsoft Marketplace as a trusted global platform to reach enterprise customers and simplify procurement through Microsoft’s billing ecosystem. Publishing transactable offers boosted our visibility, credibility, and positioned KAISPE as a verified Microsoft Partner with scalable, ready-to-deploy solutions. This move expanded our global customer base, generated new leads, opened co-sell opportunities with Microsoft field sellers, streamlined sales operations, shortened the sales cycle, and enhanced customer confidence. [JR]: What advice would you give to new partners who are just starting to publish? [IM]: Start with a clear value proposition focused on solving customer problems. Use Marketplace Rewards early, engage with co-sell tools, and make your offers transactable! Treat Marketplace as a strategic growth platform—not just a listing. We leveraged App Advisor, Marketplace Rewards, and co-sell resources to optimize listings, improve visibility, and align with Microsoft’s best practices. Navigating compliance requirements and configuring transactable offers was complex, but support from Microsoft’s Marketplace and Partner Success teams helped us overcome these challenges through technical guidance and collaboration. Lessons learned [JR]: What key takeaways would you share with other partners considering a similar path? [IM]: Invest early in building transactable and secure offers. Leverage Microsoft’s ecosystem and maintain strong communication with your Partner Development Manager. If we were to start over, we’d invest in transactable readiness sooner and engage Marketplace Rewards earlier in the journey. [JR]: Any unexpected wins or challenges? [IM]: A major win has been global visibility — customers from regions we hadn’t directly targeted discovered us through Marketplace. The main challenge was keeping pace with Microsoft’s evolving listing requirements, which improved our processes. [JR]: How has your Marketplace experience shaped your future roadmap? [IM]: It has solidified our focus on building scalable, AI-driven products under the AI Center of Excellence (CoE), strengthening our integration with Microsoft Dynamics 365 and expanding our IP portfolio across industries. ____________________________________________________________________________________________________________________________________________________________ Resources Join ISV Success - Build and publish applications and agents faster with powerful AI developer tools, consultations, and technical guidance—then grow your sales through Microsoft Marketplace Join the marketplace community - Access resources for every stage of the journey on the Microsoft Marketplace, provide feedback, and engage with other partners and Microsoft subject-matter experts focused on your success. Microsoft Marketplace - Your trusted source for cloud solutions, AI apps, and agents Paths for partnership - Learn more about the ways you can partner with us—from building and selling solutions to differentiating your business with a Solutions Partner designation.229Views0likes0CommentsNew To The Community
Hello ISV Success Community, As a new member to the community, I decided to start with an introduction. I’m Aubin Bakana, Founder and CTIO (Chief Technology & Innovation Officer) of Baobab Logix LTD, now based in Leeds, UK. I lead technology and innovation, driving solutions that are secure, ethical, and intelligent. At Baobab Logix, we’re building future-ready platforms that empower businesses to thrive. One of our flagship innovations is KeepComm Intel, a next-generation contact center solution that combines AI-driven automation with human-in-the-loop architecture for speed, accuracy, and trust. As a Microsoft Azure Solutions Architect Expert, Harvard CS50 certified, and full-stack developer, I bring deep technical expertise and a vision for sustainable innovation. I’m here to connect, collaborate, and share insights with fellow innovators who believe in shaping technology for good. Looking forward to engaging with this amazing community and exploring opportunities to build impactful solutions together! thank you.10Views1like0CommentsMicrosoft AI agent envisioning series: Build enterprise-ready AI agents
The Microsoft AI Agent Envisioning Series is a four-part webinar experience designed to guide developers through the process of creating AI agents that are ready for enterprise deployment. Microsoft’s AI Agent Envisioning framework offers a structured approach to help developers build agents that are reliable, secure, scalable, and aligned with responsible AI principles. Practical guidance and tools Azure AI Foundry provides tools and templates to support the development of intelligent agents that can operate independently and collaborate effectively. Trustworthy AI principles are integrated throughout the process to help ensure ethical and responsible development. Tools like App Advisor and the Marketplace Value Calculator assist developers in evaluating both the technical and business readiness of their solutions. Next steps The guidance aligns with Microsoft’s architectural standards and helps prepare agents for publication in the Microsoft Marketplace. Learn more by reading Build enterprise-ready AI agents with confidence: Microsoft AI agent envisioning series | Microsoft Community Hub and register for the AI Envisioning Day sessions to steadily move from concept to deployment.67Views1like0CommentsTurning complexity into a competitive advantage with AI automation
In this installment of our Partner Spotlight series, we’re continuing to showcase the innovators driving app and agent development forward on the Microsoft Marketplace. Each feature highlights the distinct journeys of partners who are pioneering AI-powered solutions, building across the Microsoft ecosystem, and delivering transactable applications that are shaping the future of the marketplace. In this article, I sat down with Alois Reitbauer from Dynatrace to learn more about their story and partner journey. About Alios: Alois Reitbauer is Chief Technology Strategist at Dynatrace where he is responsible for the Edge Data Platform, open source, and research in cloud-native technologies, security, and large-scale data management. He was a founding member and contributor to several standards in the W3C (World Wide Web Consortium) regarding web performance and distributed tracing and CNCF TAG App Delivery. Alois co-founded OpenFeature, one of the fastest growing projects in the cloud-native space. He curates the open-source canvas, a modelling and strategic planning tool for open source projects. Alois advises startups and scaleups on open source and product commercialization strategies and is an early-stage investor with a focus on developer experience tooling. ______________________________________________________________________________________________________________________________________________________________ [JR]: Tell us about your organization. What inspired the founding? What products/services do you offer? [AR]: At Dynatrace, we believe every business is a digital business, made up of data, analytics, infrastructure, and ops. We aim to help businesses harness all that information in context. Dynatrace provides observability and security with AI and automation, focusing on auto-prevention, auto-remediation, and auto-optimization. Our unified observability and security platform can analyze all your data in context, leveraging AI-powered analytics for predictive and preventive operations. Davis AI, which is at the heart of our platform, combines causal, generative, and predictive AI technologies. Another foundational component is Grail, our causal data lakehouse featuring massively parallel processing. Together, with our other offerings — including AutomationEngine, AppEngine, OneAgent, PurePath, and Smartscape, among others — we empower customers to analyze, automate, and innovate faster with full-stack, AI-driven observability. Our platform enables customers to address their most pressing challenges right out of the box. They can also automate any process by leveraging AI, dynamic mapping, and Grail to contextualize all their data for instant analytics and automation. [JR]: Can you tell us a bit about the application(s) you have available on the marketplace? How does it work? [AR]: Users can deploy our Azure-native integration from the Azure Portal with one click. It behaves like a native Azure service, with seamless authentication, billing, and visibility. Our AI-powered observability platform is embedded in Azure. We offer our SaaS-based service via the Microsoft Marketplace. Customers can leverage everything our platform offers to monitor, protect, and optimize their entire application stack. [JR]: What Microsoft cloud products did you use in your app or agent development? What value is this enabling with your customers? [AR]: We use many different Azure Blob Storage, Azure Kubernetes Service (AKS), Azure Cache for Redis®, and Azure database services, as well as underlaying services for networking and DNS running in our components on Azure. We integrated these native Azure services with the Dynatrace Grail data lakehouse, our application framework, and our predictive, causal, and generative AI. We also embedded our AI-powered observability directly into the Azure ecosystem. This helps businesses gain a deeper understanding into their cloud environments, opening the door for huge growth potential and the ability to scale their business with intelligent, data-driven insights. With Dynatrace observability on Azure, we help customers understand their data in context, find answers in real time, automate their processes, and accelerate AI adoption. [JR]: What inspired your team to begin integrating AI into your app or agent development workflows? [AR]: We started working on using AI over a decade ago to make people’s lives easier and let them focus on what really matters. Our first use case for AI was to automatically detect the root cause of an application issue and surface it to the user. Now, our Davis AI engine is at the core of our platform. It features the unique combination of causal, predictive, and generative AI to help businesses identify and address issues before they affect users, allowing them to spend more time innovating and less time firefighting. Our platform also helps organizations monitor, optimize, and secure generative AI applications, LLMs, and agentic workflows, which boosts performance, explainability, and compliance. [JR]: How do you envision AI transforming your product offerings over the next 12–18 months? [AR]: AI is at the core of our platform. Our AI engine, Davis, continuously looks for issues and provides precise root cause. This helps customers identify and resolve issues potentially in minutes — before they affect users and become expensive. In the future, we see ourselves moving from finding and identifying issues to semi-automatically resolving them with the help of services like the Azure SRE agent. We are experts at solving application-level problems with modern AI workloads. But, with the help of cloud service providers like Microsoft, we want to deeply integrate and leverage their expertise to take Dynatrace to the next level. [JR]: Can you walk us through your journey from concept to deployment for an AI agent? [AR]: Everything starts with the use case. When we think about the customer’s needs, we usually define the level of autonomy from assisting, to advising and eventually delegating the goal to an AI agent. So, everything starts there. Then, we analyze what a human will need to perform the task and which tools are required. We use this knowledge to help with fine tuning our specific data queries. Tools will become software services exposed via Microsoft Cloud Framework (MCF). [JR]: How do you ensure your AI agents are compliant, secure, and scalable for enterprise customers? [AR]: As we were developing our first AI agents, we built dedicated observability for it. This led to a dedicated product solution for AI observability, helping us understand and debug behavior, insights into cost, performance and quality as well as evaluating guardrails to understand where agents do not work properly. [JR]: How are you leveraging the Microsoft Marketplace to distribute your AI-powered solutions? [AR]: Our AI-powered observability platform is natively available in Microsoft Azure as an Azure Native Service. Customers gain full-stack visibility, automation, and root-cause detection across Azure-native and hybrid environments. This helps to drive faster innovation, better customer experiences, and more efficient use of Azure. With our observability platform natively integrated into Azure, we help to drive modernization, FinOps, and DevOps acceleration. This helps our customers get contextual answers and automation from day one. [JR]: What measurable outcomes have you seen from deploying AI agents or Copilot-enhanced solutions? [AR]: We see the highest impact on analytics and research-intensive tasks. Work that would otherwise take hours or days can now be done in minutes or less. For example, one of our customers — the technology arm of one of Thailand’s leading commercial banks — used Dynatrace’s full-stack observability and Davis AI to get a single source of truth that helped them identify and resolve the root cause of problems in real time. This cut the time it takes its teams to solve problems by 10x. [JR]: What are your top tips for designing effective AI agents? [AR]: The best advice is to solve a real problem. Identify the problem and what makes it hard to handle today, and then work your way toward an ideal solution. Very often, the best way to identify the issue is if you think, “If I only had someone who would do xyz,” that provides a good hint of what you want an agent to do. I also recommend prototyping early on against production data. [JR]: What common pitfalls should other partners avoid when building with AI? [AR]: You should not throw AI on every problem you see. Often, there are simpler solutions with equal or even better results for certain issues. Focus on where AI can really generate value. Many people overestimate the value of their AI projects without having a clear strategy to measure its value. People also underestimate the cost of their AI applications. AI applications are usually more costly than “regular” applications, Therefore, cost tracking is critical. Additionally, sometimes agents behave in an undesired way and require you to debug in real time and in production. That’s why AI observability is key. __________________________________________________________________________________________________________________________________________________________________ Resources: Join ISV Success - Build and publish applications and agents faster with powerful AI developer tools, consultations, and technical guidance—then grow your sales through Microsoft Marketplace Join the marketplace community - Access resources for every stage of the journey on the Microsoft Marketplace, provide feedback, and engage with other partners and Microsoft subject-matter experts focused on your success. Microsoft Marketplace - Your trusted source for cloud solutions, AI apps, and agents Paths for partnership - Learn more about the ways you can partner with us—from building and selling solutions to differentiating your business with a Solutions Partner designation.189Views0likes0CommentsJoin the Fabric Partner Community for this Week's Fabric Engineering Connection calls!
Are you a Microsoft partner that is interested in data and analytics? Be sure to join us for the next Fabric Engineering Connection calls! 🎉 Sujata Narayana will be sharing a recap of Power BI announcements from FabCon Europe, followed by the latest updates on AI Functions from Virginia Roman. The Americas & EMEA call will take place Wednesday, October 15, from 8-9 am PT and the APAC call is Thursday, October 16, from 1-2 am UTC/Wednesday, October 15, from 5-6 pm PT. This is your opportunity to learn more, ask questions, and provide feedback. To join the call, you must be a member of the Fabric Partner Community Teams channel. To join, complete the participation form at https://aka.ms/JoinFabricPartnerCommunity. We look forward to seeing you later this week!27Views0likes0CommentsBuild 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.282Views0likes0Comments