Sizing Copilot Credits for Cowork? Let Your Users Use Cowork Investment Advisor Agent.
Right, let's talk about a headache. If you're helping a customer allocate Copilot Credits for M365 Copilot Cowork, you have to size it all up first — and doing that by hand is a fiddly, time-consuming job. Here's the problem, and a much easier way to solve it. Start with the Cowork Estimator Here's the good news: you don't have to start from scratch. Microsoft has published the Customer Cowork Estimator — a handy tool that turns personas, prompt complexity and expected usage into an estimated credit number. It's the perfect place to begin, and it does the core maths for you. To get the most out of it, you just need to feed it good inputs — and that's where a little groundwork comes in. For each part of the business, you'll want to: Work out who's who. There are four types of user — corporate knowledge workers, management and senior leaders, customer-facing folks, and technical staff. Count how many of each. Quick for a small team, a bit more involved for a big one. Pin down what they'd genuinely use Cowork for. The real multi-step workflows that hop across apps and actually do things — not just a quick chat or a summary. Judge how heavy each workflow is. Light, Medium or Heavy — since each level uses a different number of credits per run. Estimate how often it runs. Daily adds up to a lot of runs a month; weekly is far fewer. The estimator handles the sums beautifully once those inputs are in. Gathering the inputs themselves — persona by persona, workflow by workflow, across a few thousand people — is simply the part that takes time. And that's exactly where this agent lends a hand: it builds on the estimator by automating the groundwork that feeds it. How this agent helps This agent takes on that groundwork for you. Instead of sizing everyone from the outside, the admin simply switches the agent on for every user. Each person then sizes their own needs — and the agent does the clever bits for them, ready to drop into the estimator. Here's what it does behind the scenes: Spots the right persona. It works out which of the four personas each user fits. Finds the real workflows. It looks at the top Cowork scenarios the user would actually run. Keeps it honest. It checks each one is a genuine Cowork job — several steps, more than one app, real actions and a bit of decision-making — not something a Scheduled Prompt or plain Copilot Chat could do just as well. Grounds it in evidence. It reads the signals from recent work — emails, meetings, documents and Teams chats — so the estimate is based on what people actually do, not thin air. Does the sums. It maps each workflow's complexity to credits per run and totals it up — giving you numbers that line up neatly with the estimator. Shows the value. It gives a view of pay-as-you-go versus a pre-purchase plan, and a sense of the return on the spend. Stays transparent. It states its assumptions, flags how confident it is, and sticks to permitted data and the usual privacy and compliance rules. And here's the kind of report it hands back — persona, the top workflows, complexity, credits, cost and a clear recommendation, all in one place: Why this approach works better So why hand it to the users? A few good reasons: More accurate. The numbers come from each person's real workload, not a top-down guess. Consistent by design. Everyone follows the same method — same personas, same complexity bands, same maths — so the results line up and roll into one clean figure. No over-buying. Because it weeds out the workflows that don't really need Cowork, your customer only pays for credits they'll genuinely use. A proper business case. You get cost clarity and a feel for the return, so you're handing over more than just a number. It scales. Ten users or ten thousand — the effort on your side stays much the same. It saves you hours. You swap manual sizing for gathering and rolling up. Your time goes on advising, not tallying. Not ready to roll it out? Other ways in If an admin isn't quite ready to switch the agent on for everyone, that's OK— there's no need to. This agent is an M365 Copilot agent, and it has free access to Work IQ — the same engine that will eventually power Cowork. Because that access is free, the agent can read how people really work and take the guesswork right out of sizing. And there's more than one way to get at it: Build it with Agent Builder. Ready-made instructions, a description and a starter prompt are all sitting in the GitHub repo. Anyone with access to M365 Copilot can pop them into Agent Builder and stand the agent up in minutes. Prefer not to build an agent? Just use the prompt. There's a comprehensive prompt you can drop straight into the M365 Copilot Chat experience. Same sizing, same evidence — no agent to create. Ready to give it a go? Whichever route suits you best, getting started is dead simple. If you're rolling the agent out to your users: Have a quick word with your customer's admin about switching the agent on for their users. Let each person size their own Cowork needs. Gather it all up and roll it into a single estimate. Prefer to keep it in your own hands? Build the agent from the GitHub repo with Agent Builder, or drop the comprehensive prompt into M365 Copilot Chat — you'll get to the same place with even less setup. THE BOTTOM LINE That's the heavy lifting done for you. You'll save yourself hours, spare yourself the guesswork, and hand your customer a credit plan they can genuinely trust — with the numbers and the business case sitting right behind it. Give it a spin on your next engagement and see how much quicker it gets you there. Resources Everything you need is in one place: Customer Cowork Estimator — https://aka.ms/CustomerCoworkEstimator GitHub repo — agent instructions, description, starter prompt and the full Copilot Chat prompt: Cowork Investment Assessment
Goodstack-Validated Nonprofit Rejected After Forced Resubmission — No Escalation Path
I am posting this because Microsoft Elevate frontline support told me there are no further escalation paths available, and I believe this may affect other nonprofits. Timeline of facts: - June 19, 2026: Goodstack, Microsoft's authorized validation partner, confirmed our nonprofit (Opera Verace Foundation, EIN 33-2305878, California 501(c)(3)) was approved for Microsoft nonprofit grants and discounts. - June 23, 2026: Microsoft Elevate support informed me the original application was in an unrecoverable system error state due to an unrecoverable error in their system, and they instructed me to resubmit under a different email address. I only had one email directed to my business email and asked if I could use a Yahoo email. - June 30, 2026: The same Elevate representative confirmed in email to me that using a Yahoo email address as a temporary workaround was fully supported and "the correct and supported path forward." - July 2026: A different Microsoft Validation Team (not the one I had worked with originally) rejected the resubmission (likely due to use of a yahoo.com email as my business email address) and demanded documents not listed in the published eligibility requirements, including a bank statement. They stated the original Goodstack approval cannot be reinstated. - When I pointed out that Goodstack's validation was never rescinded, that my organization's nonprofit status can be confirmed on propublica online, and that the resubmission existed solely due to Microsoft's own system error and instructions, I was told this was a determination of another team and no further escalation paths exist. The core issue: Goodstack validated our organization on Microsoft's behalf. Microsoft's own system error forced resubmission. Microsoft's own representative authorized the (incorrect) workaround in writing. The Validation Team is now treating the workaround submission as a brand new independent submission requiring extraordinary measures for re-validation, ignoring the Goodstack validation, ignoring the request to check propublica, and ignoring the fact that thier reuest for additional documents is nowhere to be found in Microsoft's own document requirements in Microsoft's published nonprofit eligibility policies. Ticket number: 2606210040000788 Is anyone at Microsoft able to escalate this to someone with authority over the Validation Team? Has anyone else encountered this after being directed to use a personal email for resubmission?Unlock AI agents without sacrificing security
AI agents are reaching into mailboxes, files, line-of-business apps, and the open web on behalf of your users—and the business wants more of them, faster. To scale agents safely, your security teams need to be able to verify each agent, govern what it can access, and enforce clear boundaries across every interaction. Learn how Microsoft Entra helps you discover shadow AI agents, govern agent permissions, keep BYOD and endpoint-based agents in scope, and apply Conditional Access to AI prompts and responses. Then see how Microsoft Purview provides visibility into agent activity, strengthens runtime data protection, helps detect agentic risk, and supports auditability across local agents developed on GitHub Copilot CLI, Claude Code, OpenAI Codex, and OpenClaw. Walk away with practical ways to unlock AI agents while keeping access and data protection aligned with your enterprise security needs. How do I participate? Select Add to Calendar to save the date, then click the Attend button to save your spot, receive event reminders, and participate in the Q&A. Not able to attend live? This session will be recorded and available on demand shortly after airing. Don't see Attend or Add to Calendar? Sign in to the Tech Community to join the conversation. This session is part of Securing data and access in the era of AI with Microsoft Entra and Microsoft Purview. View the full agenda for more insights to help you move from experimenting with AI to deploying it at scale, securing sensitive data, access, and AI usage.Secure the age of AI: Redefining trust, data and access
There is no question that AI is transforming the enterprise: changing how data moves, how decisions are made, and how risk takes shape. As agents access, interpret, and act on sensitive data, unmanaged AI use expands and traditional boundaries blur. Kicking off our series on Securing Data and Access in the Era of AI, Microsoft Entra VP of Product Sinead O’Donovan and Microsoft Purview GM of Product Maithili Dandige explain why legacy security models fall short in the age of AI—and why you need a strategy that brings together identity, access, and data protection. Want to adopt and enable AI innovation with greater control and confidence? Join us to learn how leading organizations are securing access, protecting data, and establishing trust for the next generation of AI-powered work. How do I participate? Select Add to Calendar to save the date, then click the Attend button to save your spot, receive event reminders, and participate in the Q&A. Not able to attend live? This session will be recorded and available on demand shortly after airing. Don't see Attend or Add to Calendar? Sign in to the Tech Community to join the conversation. This session is part of Securing data and access in the era of AI with Microsoft Entra and Microsoft Purview. View the full agenda for more insights to help you move from experimenting with AI to deploying it at scale, securing sensitive data, access, and AI usage.Gain an early view of the Microsoft priorities shaping FY27
As AI innovation, agentic applications, and Microsoft Marketplace opportunities continue to reshape customer demand, early alignment has never been more important. This Microsoft Marketplace community article explores why MCAPS Start for Partners on July 22 is a key moment for Software Development Company (SDC) partners, ISVs, and Marketplace publishers looking to align with Microsoft’s FY27 priorities. Learn how Microsoft Marketplace investments, co-sell opportunities, app modernization initiatives, and emerging AI trends can influence your growth strategy, solution roadmap, and customer engagement plans for the year ahead. The article also highlights practical steps partners can take now to strengthen Marketplace readiness, identify areas for differentiation, and translate Microsoft priorities into actionable business outcomes. If your organization develops, sells, or publishes solutions through Microsoft Marketplace, this timely read will help you prepare for the opportunities shaping FY27. 👉 Read the full article: Why MCAPS Start for Partners on July 22 Matters for Software Development CompaniesWhy MCAPS Start for Partners on July 22 matters for software development companies
Every new fiscal year begins with questions. Where is customer demand heading? Which technology investments matter most? How can software companies build solutions that stand out in an increasingly competitive Microsoft ecosystem? Software development companies, Marketplace publishers, architects, and developers across our partner community express a common theme: everyone is looking for clarity. Customers are moving quickly from AI experimentation toward operational AI adoption. New opportunities are emerging around agentic applications, modernization, and Microsoft Marketplace growth. At the same time, partners want to know where Microsoft is investing and how they can align their business for success. That is exactly why MCAPS Start for Partners on July 22 matters. This event is designed to help partners start FY27 with a clear understanding of Microsoft priorities, customer demand, and the opportunities ahead. More importantly, it is an opportunity to align early, before the year gains momentum and before critical decisions are made across solution development, go-to-market planning, and Marketplace strategy. The conversation we keep hearing from partners Over the last year, many software companies have invested heavily in AI. Teams have built proofs of concept, launched copilots, explored automation, and experimented with agents. Those efforts have created valuable learning, but customers are now asking a different set of questions. Instead of asking what AI can do, customers are asking how AI can create measurable business outcomes. They want solutions that can be governed, operationalized, and scaled across teams and business units. They want trusted platforms that protect data and intellectual property while helping them move faster. This shift represents something larger than a technology trend. It reflects what Microsoft describes as Frontier Transformation: the movement from isolated AI experimentation toward AI and agents becoming part of repeatable business operations. For software companies and Marketplace publishers, that creates a significant opportunity. The partners who can help customers operationalize AI, modernize applications, and deliver scalable outcomes will be positioned to lead customer conversations in FY27. MCPS for Partners provides an early look into how Microsoft is thinking about this transformation and where partners can create value. Why early alignment matters One lesson learned from working with software partners is that timing matters. The strongest partners rarely wait until priorities become widely understood. They start early. They align their product roadmap, Marketplace strategy, sales motions, and technical investments before demand peaks. MCAPS Start for Partners is designed to provide that early alignment. During the event, Microsoft leaders will share perspectives on FY27 priorities, innovation areas, investment focus, and growth opportunities. Partners will gain visibility into topics including AI innovation, agentic applications, Marketplace growth, co-sell opportunities, security, cloud platforms, and business applications. For developers and technical leaders, this means understanding where customers are investing and how emerging capabilities may influence future solution architectures. For Marketplace publishers, it means learning where discoverability, go-to-market alignment, and Marketplace motions can create growth opportunities. For business leaders, it means connecting Microsoft investments to practical execution plans that support long-term growth. The Marketplace opportunity is becoming more strategic Customers increasingly want streamlined procurement experiences and trusted solution sources. At the same time, partners are looking for scalable ways to expand reach and accelerate customer acquisition. That makes Marketplace more than a publishing destination. It becomes a strategic go-to-market channel. Organizations attending MCAPS Start for Partners will hear how Marketplace fits into broader partner growth strategies and how Marketplace motions can support customer demand generation and co-sell engagement. For software companies, this is an opportunity to think beyond listings and consider how Marketplace can support solution differentiation, visibility, and customer engagement throughout FY27. The most successful Marketplace publishers are not simply reacting to market changes. They are aligning their offerings to where customer demand is moving and where Microsoft is investing. Preparing for the conversations that will shape FY27 As July 22 approaches, partners can consider customer conversations happening today. Where are customers requesting guidance around AI transformation? Which application modernization projects are gaining momentum? How are security, governance, and scalability influencing solution requirements? These questions are increasingly connected. Customers are seeking partners that can help them connect AI, cloud, security, and business outcomes into a cohesive strategy. They are looking for expertise that goes beyond implementation and extends into long-term transformation. MCAPS Start for Partners was designed to help organizations think through those challenges and identify where Microsoft priorities intersect with customer demand. That alignment becomes even more valuable when technical leaders, sales teams, Marketplace owners, marketing teams, and delivery organizations participate together. When everyone hears the same guidance and leaves with shared priorities, execution becomes significantly easier. What attendees should listen for As you participate in the event, consider listening through three lenses: Pay attention to where customer demand is moving. Understanding demand signals can help guide product investments, roadmap decisions, and solution packaging. Look for insights into Microsoft investments and priorities. These insights can help partners determine where to focus skilling, innovation, and go-to-market efforts. Think about differentiation. Customers increasingly want partners who can move beyond experimentation and deliver repeatable outcomes. The organizations that combine technical excellence with operational execution will have a distinct advantage. The goal is not simply to collect information. The goal is to leave the event with clarity about what actions matter most for your organization. Turning insight into action Every fiscal year presents new opportunities, but not every partner starts with the same level of insight. MCAPS Start for Partners provides software companies, developers, architects, and Marketplace publishers with an early opportunity to understand Microsoft’s FY27 priorities, evaluate evolving customer demand, and identify where AI innovation, agentic applications, Marketplace growth, and co-sell opportunities are creating new possibilities. The partners that act early will be better positioned to build differentiated offerings, strengthen customer conversations, and execute with confidence throughout the year. Registration closes soon, and July 22 is quickly approaching. If you have not secured your place, now is the time to act. Register today, invite your cross-functional team, and ensure your organization is prepared for the Microsoft priorities, investments, and customer opportunities that will define FY27. Whether you are responsible for product strategy, solution architecture, Marketplace growth, sales execution, or customer success, MCAPS Start for Partners offers valuable insights that can help transform planning into action. 👉 Register for MCAPS Start for Partners Before July 22Token Limit Exceeded? What's Actually Going On and What to Do About It ?
Hi All, Based on some recent experience across the organisation with token limit issues, I wanted to put my thoughts down and actually dig into what's happening under the hood, rather than just chalking it up to "we need a bigger plan." If you work anywhere near the Microsoft ecosystem these days, you're probably touching more AI tools than you realize. Copilot in Word and Excel, GitHub Copilot while you code, Copilot Studio if you're building agents, maybe Security Copilot or Copilot for Sales depending on your role, and increasingly Azure AI Foundry if your team is building anything custom. I work across a good chunk of this stack day to day, and at some point, almost everyone runs into the same wall: "Token limit exceeded." "You've reached your usage limit." "Upgrade to continue." The first instinct is usually to assume you did something wrong wrote too much, uploaded too big a file, or just need a fatter subscription. Sometimes that's the actual story. But honestly, often, that error message is standing in for three completely different problems that all happen to look identical from the outside. One is about how much text a model can physically process at once. One is about your license or credits running dry. And one has nothing to do with size at all it's just about how fast you're sending requests. Once you know which of these three, you're dealing with, the fix becomes obvious. Until then, "upgrade your plan" feels like the only lever you've got even when it isn't. This post walks through what a token is, why Microsoft's various Copilots each handle this differently, and what habits genuinely cut down on these interruptions instead of just throwing money at the problem. Part 1: So What Is a Token, Really? A token isn't a word, and it isn't a character it's somewhere in between. It's the small chunk of text a model's tokenizer breaks your input into before it can do anything with it. Take a word like "unbelievable." A tokenizer might split it into three pieces something like "un," "believ," and "able." Short, everyday words usually come out as a single token. But code, technical jargon, acronyms, and non-English text tend to fragment into a lot more tokens than you'd guess just by looking at the word count. This is why every AI tool has a ceiling on how much it can handle in one go, and that ceiling isn't measured in words or characters it's measured in tokens. Your prompt, any documents or emails it pulls in as context, the back-and-forth history of your conversation, and the response itself all draw from the same pool. Once that pool runs dry, something has to give: the tool truncates, rejects the request outright, or quietly summarizes older context to make room. The part that trips people up: token count doesn't map cleanly to word count. A short, dense paragraph full of code or acronyms can eat up more tokens than a much longer plain-English message. Part 2: Three Different Limits, One Confusing Error Message This isn't always obvious upfront, even to a lot of admins managing these tools: "token limit exceeded" is really a stand-in phrase for three separate limits, and they don't behave the same way. This isn't unique to Microsoft either every major AI platform bundles these same three things behind similarly vague error messages. Microsoft's stack just makes a good case study because so many of us touch multiple pieces of it in the same week. The context window is the ceiling on how much text a specific model can process in a single request everything from your prompt to retrieved documents to chat history. This is tied to the model itself, not your subscription. Swap from one model to another inside the same tool, and this ceiling can move without you doing anything differently. Your license, credits, or feature allowance is a completely separate thing. This is what Microsoft 365 Copilot plans track through AI credits and feature limits, and it's what Copilot Studio measures through Copilot credits at the environment level. A single action summarizing an inbox, generating an agent response, running an analysis deducts from this pool regardless of how small your actual prompt felt. Run out, and you get blocked, even if you're nowhere near any context window limit. The rate limit is about speed, not size. Copilot Studio, for instance, enforces quotas measured in requests per minute or per hour to keep the system stable under load. Send messages too quickly, which happens easily with automations, flows, or bots, and you can get throttled even with a tiny prompt and plenty of credits left. The reason this matters: a plan upgrade only ever fixes the second one. If you're actually running into the model's context window or getting rate-limited, paying for a bigger license won't change anything, and that mismatch is exactly where most of the frustration comes from. Part 3: How This Plays Out Across the Microsoft AI Stack The Microsoft ecosystem isn't one AI tool wearing different outfits it's genuinely several different systems, each handling tokens and limits in its own way. Here's a tour of the ones people run into most. Microsoft 365 Copilot (the one living inside Word, Excel, Outlook, Teams) doesn't work off a single published token number the way a developer tool would. Instead, it dynamically pulls together your prompt, recent chat history, and relevant snippets retrieved from Microsoft Graph your files, emails, and messages and quietly summarizes or drops older material to stay within bounds. Where this usually breaks isn't the context window at all; it's the AI credit and feature-limit system running out, often without much warning until you're mid-task. GitHub Copilot Chat is more like a traditional developer tool. It has a fixed, published token window tied to whichever model you've selected, and that limit applies consistently whether you're in the browser, VS Code, or the CLI. The failure mode here is usually a long conversation or a big multi-file context quietly creeping past that ceiling. Copilot Studio, where a lot of custom agent-building happens, runs on Copilot credits per interaction, plus its own requests-per-minute and requests-per-hour quotas at the environment level. If you're grounding an agent in SharePoint content, there's also a separate file-size ceiling to watch content over a certain size can get silently excluded from generative answers depending on your tenant's licensing. Azure AI Foundry (recently renamed to Microsoft Foundry, in case you've seen both names floating around) is where this gets more directly in your control. If your team is building custom applications on top of Azure OpenAI or other models in the Foundry catalog, which now includes everything from GPT to Phi to Claude to Llama, you're working with explicit, published context windows per model, and you're billed per token rather than per credit. It's a different mental model entirely: less "you hit a wall," more "you're paying by the word, so design accordingly." Security Copilot, if your org uses it for threat analysis and incident response, runs on its own capacity model pooled compute units at the tenant level rather than a simple per-user cap. It's easy to assume this behaves like M365 Copilot license limits; it doesn't. Copilot for Sales, embedded in Outlook and Teams for CRM-connected work, and Copilot in Power BI, which now goes beyond generating summaries to actually helping build and refine semantic models, both draw from their own feature-specific allowances layered on top of whatever base Microsoft 365 or Power Platform license you're on. And then there's the multi-model wrinkle that trips up teams the most: because tools like Copilot Studio and GitHub Copilot let you choose between GPT-based models, Claude, and others, the exact same prompt can have a different effective context window and a different token cost purely based on which model handled it that day. This is a big, underrated reason behind the "it worked fine yesterday, why not now" complaint. Part 4: What Actually Helps ? Some of this is genuinely outside your control, but a fair amount isn't. If you're just using these tools day to day, the single biggest habit shift is not letting conversations run forever. Long threads in Copilot Chat or Copilot Studio keep accumulating history, and that history eats into the same budget as whatever you're asking right now. Starting fresh periodically costs you nothing and buys back a lot of headroom. Large documents are worth splitting up before you feed them in, especially for SharePoint-grounded agents, where oversized files can get quietly excluded rather than cleanly rejected you won't necessarily know it happened unless you're looking for it. And it's worth resisting the urge to default to the heaviest, most capable model for every single task. Lighter models are usually faster, cheaper, and often sit under a more generous limit than the flagship ones, and most everyday tasks genuinely don't need the biggest model available. Before you go asking IT for a license upgrade, it's worth a quick sanity check on which limit you actually hit. If it's a rate limit, waiting a minute and retrying usually solves it outright. If it's a context window problem, trimming your prompt or starting a new session fixes it. An upgrade only helps if you've genuinely run out of credits or feature allowance, and that's worth confirming before you file the request. If you're on the building side Copilot Studio agents, Foundry applications, anything with RAG-style grounding a couple of things pay off quickly. Keep an eye on credit or token consumption proactively rather than discovering it's gone when the agent goes down mid-conversation. Be deliberate about what goes into system prompts and orchestration instructions, since those draw from the same budget as the end user's actual message, often invisibly to whoever's chatting with the agent. And spend real time getting chunk size right for knowledge sources too large and you're burning budget on irrelevant context, too small and the agent loses the thread. Part 5: Quick Checklist Before You Escalate Is this actually a context window problem -prompt, history, and attachments too big for the model in use? Have you genuinely run out of credits or feature allowance on your plan? Could this be a rate limit -too many requests too fast, especially from a flow or automation? Did the underlying model change since last time, quietly shifting the effective window? For Studio or Foundry work, is this a tenant or environment-level limit rather than something tied to you personally? Closing Thoughts Tokenization is one of those things that stays completely invisible right up until it isn't. Across a stack as sprawling as Microsoft's M365 Copilot, GitHub Copilot, Copilot Studio, Foundry, Security Copilot, and everything layered on top "token limit exceeded" almost never means one single thing. It means you've hit one of three very different walls, and each one needs a different response. If your team builds or maintains any of these tools, this is genuinely worth putting in front of people early. Most of the "why did this break" tickets in this space aren't about tokens at all. They're about nobody knowing which limit actually got hit, or where in this increasingly large ecosystem it happened. I'm curious how this shows up for others has your team standardized on one model across these tools, or are you juggling several depending on the task? I'd love to hear what patterns you've run into. Cheers, and happy reading. - By Surya Vennapusa, MCTGrow your business globally while selling locally through Microsoft Marketplace
Ready to reach new markets and grow through trusted partner ecosystems? Microsoft is expanding multiparty private offers to Australia, Japan, and South Africa, creating new opportunities for software companies and channel partners to scale globally while selling locally. Discover how Microsoft Marketplace helps partners accelerate co-sell motions, simplify procurement, close larger deals, and unlock new revenue opportunities through partner-led selling. Read the full article: Drive local growth with Microsoft MarketplaceDiscover how Microsoft Marketplace helps accelerate AI innovation
Looking to simplify the path from AI exploration to commercial success? This Microsoft Marketplace event highlights how software development companies can access AI models, streamline procurement and deployment, integrate developer solutions, and scale customer reach through a single trusted platform. Learn practical strategies for packaging, monetizing, and distributing AI-powered solutions across Azure, Microsoft 365, and the broader Microsoft partner ecosystem. Whether you're focused on product development, go-to-market strategy, alliances, procurement, or IT operations, this session offers valuable insights into accelerating time to market and delivering customer value through Microsoft Marketplace. Learn more: https://techcommunity.microsoft.com/event/azureevents/from-ai-evaluation-to-deployment-with-microsoft-marketplace/4537062
