{"id":23773,"date":"2026-05-21T08:00:00","date_gmt":"2026-05-21T15:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/insidetrack\/blog\/?p=23773"},"modified":"2026-06-17T10:04:40","modified_gmt":"2026-06-17T17:04:40","slug":"how-work-iq-is-supercharging-our-ai-usage-at-microsoft","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/insidetrack\/blog\/how-work-iq-is-supercharging-our-ai-usage-at-microsoft\/","title":{"rendered":"How Work IQ is supercharging our AI usage at Microsoft"},"content":{"rendered":"\n
At Microsoft, we\u2019re constantly thinking about the future of work\u2014how the power of AI and agents is transforming the way knowledge workers do their jobs, streamlining workflows, and boosting employee productivity.<\/p>\n\n\n\n
These innovations have come in many different forms across every group and function at the company. It\u2019s impossible to capture them all in a single concept or story, but one of the ways that we\u2019ve activated the power of AI for our workforce is Work IQ.<\/p>\n\n\n\n
Work IQ isn\u2019t a product.<\/p>\n\n\n\n
It\u2019s a shared intelligence layer that enables Microsoft 365 Copilot and AI agents to reason over and understand your organization\u2019s work data, then use that context to generate more relevant responses and actions. This means that the entire Microsoft Graph\u2014including rich unstructured data from your Teams chats and meetings, Outlook emails, Word documents, PowerPoint presentations, and more\u2014is now part of your AI-powered work experience.<\/p>\n\n\n\n \u201cIt\u2019s not really a brand-new capability, but more an evolution of what users already know, which is access to the grounding data in their Microsoft tenant. The difference is that Work IQ adds an additional layer to provide more context, allowing for richer and more relevant results.\u201d<\/p>\nAisha Hasan, principal product manager, Microsoft Digital<\/cite><\/blockquote>\n\n\n\n Work IQ enables Copilot to not only tailor answers to your role and responsibilities, but also to understand who your most frequent collaborators are, comprehend details about your latest projects, surface deliverables and deadlines, and intuit next steps. Additionally, Work IQ makes it easy for any AI agent to take advantage of the same rich enterprise data to return and act on more contextual results.<\/p>\n\n\n\n \u201cIt\u2019s not really a brand-new capability, but more an evolution of what users already know, which is access to the grounding data in their Microsoft tenant,\u201d says Aisha Hasan, a principal product manager in Microsoft Digital. \u201cThe difference is that Work IQ adds an additional layer to provide more context, allowing for richer and more relevant results.\u201d<\/strong><\/p>\n\n\n\n At Microsoft\u202fDigital, the company\u2019s IT organization, we\u2019ve seen firsthand how this intelligence layer is accelerating employee adoption of Copilot and agentic AI as outputs become more perceptive and valuable. Work\u202fIQ is a foundational step toward a future where AI has moved beyond isolated assistance and become a trusted professional helper\u2014sometimes described as a digital colleague\u2014that carries out tasks and anticipates needs in every aspect of daily work.<\/p>\n\n\n\n One of the most instructive aspects of Work IQ\u2019s impact across our organization is that it happened without a traditional deployment. There was no enablement event for employees or operational playbook distributed to administrators. It didn\u2019t require any changes to the application interfaces. Yet over time, our employee Copilot interactions improved in measurable ways.<\/p>\n\n\n\n \u201cThere was a period where we weren\u2019t adding new content to Copilot, and yet I noticed our metrics for quality and user satisfaction kept going up. Why was that? It was because of all these incremental improvements that we refer to as Work IQ.\u201d<\/p>\nDodd Willingham, principal product manager, Microsoft Digital<\/cite><\/blockquote>\n\n\n\n This was a direct consequence of introducing a shared intelligence layer into a Microsoft environment that was already rich in work signals. Those work signals are extremely valuable data that was difficult to extract meaning from before the advent of AI. As the technology advanced, we could take full advantage of this data to inform and improve agentic responses.<\/p>\n\n\n\n As Customer Zero for the company, Microsoft Digital was at the forefront of measuring the impact of Work IQ. Our employees saw significant gains in relevance, grounding, and answer coherence in Copilot that were visible in the metrics, even during times when the underlying content remained relatively static. That\u2019s the Work IQ difference.<\/p>\n\n\n\n \u201cThere was a period where we weren\u2019t adding new content to Copilot, and yet I noticed our metrics for quality and user satisfaction kept going up,\u201d says Dodd Willingham, a principal product manager in Microsoft Digital. \u201cWhy was that? It was because of all these incremental improvements that we refer to as Work IQ.\u201d<\/p>\n\n\n\n At a systems level, Work IQ reasons across a broad cross-section of Microsoft 365 data, including:<\/p>\n\n\n\n Work IQ can also access structured data in tools like Dynamics 365, Power BI, Power Apps, and other business applications. The ability to extract context and interpret structured and unstructured data in a unified intelligence layer is the reason why Work IQ is making such a difference for our employees.<\/p>\n\n\n\n Outlook provides a useful lens on how Work IQ functions because it\u2019s both heavily used by our employees and a highly contextual tool. Although the application hasn\u2019t outwardly changed, the way Copilot interacts with inbox and calendar data has evolved, in part due to richer context provided by Work IQ.<\/p>\n\n\n\n \u201cThe intelligence works behind the scenes as you use Outlook. Your inbox just gradually feels more relevant. Outlook adapts to your work patterns, making your inbox feel more like an assistant, instead of a filing cabinet of communications.\u201d<\/p>\nMatthew Marzynski, principal product manager, core experiences, Microsoft Digital<\/cite><\/blockquote>\n\n\n\n Now when you turn to Copilot in Outlook to summarize email threads, it can surface decision points, action owners, and unresolved issues. Instead of treating email as a collection of messages and providing rote summaries, Copilot perceives it as a record of decisions and commitments over time.<\/p>\n\n\n\n Calendar-related experiences are on a similar trajectory. Meeting preparation and follow\u2011up suggestions are now drawing on prior interactions with the same participants, relevant documents that were previously shared, and historical patterns around similar meetings.<\/p>\n\n\n\n Work IQ isn\u2019t rule-based automation layered on top of Outlook. Users aren\u2019t configuring new filters or workflows. Instead, the system is adapting based on observed patterns, meaning user behavior can remain the same while output quality improves<\/p>\n\n\n\n \u201cThe intelligence works behind the scenes as you use Outlook,\u201d says Matthew Marzynski, a principal product manager for core experiences in Microsoft Digital. \u201cYour inbox just gradually feels more relevant. Outlook adapts to your work patterns, making your inbox feel more like an assistant, instead of a filing cabinet of communications.\u201d<\/p>\n\n\n\n Another important aspect of Work IQ is the ability to retain persistent memory of each employee\u2019s role, responsibilities, and work context. Copilot and other agents no longer need to be continually prompted with details about who the user is and what they\u2019re working on. It learns that information and remembers it going forward.<\/p>\n\n\n\n This feature, also called persistent understanding, builds trust and increases efficiency each time an employee turns to AI for help with their work. AI systems that depend on manual context-setting don\u2019t scale well across large organizations, which we at Microsoft Digital learned as we tested and deployed Copilot across the company.<\/p>\n\n\n\n \u201cThe user no longer has to tell the agent, \u2018I work in this area, so please tailor your response to that\u2019 every time,\u201d says Anishkumar Ramakrishnan, a principal PM manager in Microsoft Digital. \u201cWith Work IQ, Copilot and agents recall it going forward. It remembers things that the user doesn\u2019t even remember themselves about their past work and actions. This is the promise of intelligent context.\u201d<\/p>\n\n\n\n As organizations move toward integrating AI agents into all aspects of their day-to-day work, the value of Work IQ increases. Any agent\u2014not just a general-purpose agent like Copilot\u2014that can interpret vast amounts of your unstructured work data is going to produce results that are far more relevant than one that simply draws on general knowledge about a topic or process.<\/p>\n\n\n\n \u201cBefore, a builder had to go connector by connector and be very prescriptive\u2014calendar read, email read, meeting access\u2014just to build an agent. Now they can simply point the agent to Work IQ, and it gains contextual access across mail, calendar, meetings, and files through a single connector (API or MCP server).\u201d<\/p>\nNaveen Jangir, principal architect, Microsoft Digital<\/cite><\/blockquote>\n\n\n\n Early agent implementations relied on narrower task-specific access to data. For each agent, a developer would have to build connections to a particular document library, mailbox, or set of calendar data. Each connection required separate consent and management, which generally resulted in a more limited scope.<\/p>\n\n\n\n But with Work IQ, builders can create agents using Microsoft Copilot Studio or other development platforms (such as Microsoft Foundry) that use APIs or Model Context Protocol (MCP) servers to connect to Microsoft Graph data. This enables them to bring the full power of enterprise data to any agentic creation, not just Microsoft 365 agents.<\/p>\n\n\n\n \u201c<\/strong>Before, a builder had to go connector by connector and be very prescriptive\u2014calendar read, email read, meeting access\u2014just to build an agent,\u201d says Naveen Jangir, a principal architect in Microsoft Digital. \u201cNow they can simply point the agent to Work IQ, and it gains contextual access across mail, calendar, meetings, and files through a single connector (API or MCP server).\u201d<\/p>\n\n\n\n This shift doesn\u2019t just simplify agent development\u2014it fundamentally expands what agents are capable of. Instead of operating within narrow, predefined tasks, agents can now reason across a broader work context to deliver better outcomes. For example, an agent supporting a project manager can surface relevant email threads, identify key stakeholders from meeting activity, reference the latest project documents, and highlight upcoming deadlines\u2014all within a single interaction.<\/p>\n\n\n\n From a governance perspective, Work IQ doesn\u2019t introduce a new security model. Instead, it operates entirely within the existing Microsoft 365 data protection boundaries that our company and our customers already rely on.<\/p>\n\n\n\n The intelligence layer can access this enterprise data, but it does so while honoring permissions, sensitivity labels, access policies, and compliance controls defined at the source. Work\u202fIQ can only surface or act on information that the user\u2014or an agent identity acting on the user\u2019s behalf\u2014is already authorized to access.<\/p>\n\n\n\n This inheritance model is intentional. Governance remains rooted in the data layer, not in the AI layer. Work IQ respects established controls such as identity\u2011based access and tenant policies, which means agents are generally given less access than human users.<\/p>\n\n\n\n \u201cAn agent user only gets access to what is explicitly shared with it,\u201d Jangir says. \u201cHuman users typically have broader default access. By design in Work IQ, agents can usually see less than people, not more.\u201d<\/p>\n\n\n\n For IT and security teams, this places the emphasis squarely on data discipline and identity controls, which are complementary security layers. Work IQ amplifies the value of well\u2011governed data and exposes weaknesses where governance is inconsistent. Admins remain in control of access and can turn off APIs and MCP server connections if they want to limit an agent\u2019s data access.<\/p>\n\n\n\n As we\u2019ve scaled up Copilot and agentic AI internally, one lesson has become clear: Intelligence works best when it\u2019s part of a layered infrastructure rather than working on its own.<\/p>\n\n\n\n That\u2019s why Work\u202fIQ is just one context layer we\u2019re using at Microsoft. We\u2019ve also developed Fabric\u202fIQ and Foundry\u202fIQ, which are complementary layers in our overall data strategy. Each of these addresses a different aspect of enterprise intelligence.<\/p>\n\n\n\n The three layers serve distinct but connected purposes:<\/p>\n\n\n\n Taken together, these layers also contribute to something deeper: the emergence of a shared business ontology. By extracting and aligning business entities\u2014such as people, projects, and processes\u2014from both structured data in Fabric IQ and the unstructured signals captured by Work\u202fIQ, the system perceives meaningful connections that previously were hidden. This unified understanding allows agents to reason across domains with greater precision, linking metrics to the real work and making insights more actionable in context.<\/p>\n\n\n\n This architecture matters because it removes artificial seams. Agents shouldn\u2019t need to shift between separate contexts for work content, enterprise data, or application logic. The IQ layers make it possible to deliver a single agentic experience that reasons consistently, applies governance uniformly, and moves with users across environments. Just as importantly, the same controls\u2014identity, permissions, labeling, and policy\u2014flow through each layer, keeping trust intact as capability expands.<\/p>\n\n\n\n At Microsoft, Work IQ and the other context layers are helping Copilot and agents to accelerate beyond AI experimentation. They are now vital operational tools that make everyone more productive across the global enterprise. Context and intelligence in agentic tools are a key part of the future of work, at Microsoft and for our customers as well. <\/strong><\/p>\n\n\n\n Key takeaways<\/p>\n<\/div>\n\n\n\n Here are some things to keep in mind as you prepare your own organization to take full advantage of Work IQ:<\/p>\n\n\n\n Try it out<\/p>\n<\/div>\n\n\n\n Get a closer look at Work IQ.<\/a><\/p>\n<\/div>\n\n\n\n Related links<\/p>\n<\/div>\n\n\n\n At Microsoft, we\u2019re constantly thinking about the future of work\u2014how the power of AI and agents is transforming the way knowledge workers do their jobs, streamlining workflows, and boosting employee productivity. These innovations have come in many different forms across every group and function at the company. It\u2019s impossible to capture them all in a […]<\/p>\n","protected":false},"author":209,"featured_media":23776,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":true,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_hide_featured_on_single":false,"_show_featured_caption_on_single":true,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[882,1],"tags":[199,868,137,850,237,852,263,827,689,424,903,848,851],"coauthors":[841],"class_list":["post-23773","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-it-strategy","category-microsoft-digital","tag-ai","tag-ai-deployment-and-adoption","tag-change-management","tag-end-user-services-and-support","tag-governance","tag-it-and-business-operations","tag-microsoft-365","tag-microsoft-365-copilot","tag-network-security","tag-power-platform","tag-security","tag-security-and-risk-management","tag-tenant-management","m-blog-post"],"yoast_head":"\n
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How Work IQ impacts everyday work<\/h2>\n\n\n\n
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Making Outlook better<\/h3>\n\n\n\n
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Applying persistent memory<\/h3>\n\n\n\n
From answers to action: Work IQ and AI agents<\/h2>\n\n\n\n
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Intelligence without bypassing governance<\/h2>\n\n\n\n
Work\u202fIQ, Fabric\u202fIQ, and Foundry\u202fIQ<\/h2>\n\n\n\n

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