From insight to action: how Adobe and Microsoft are helping marketers move faster with AI
Today’s marketing leaders are under pressure to do more than ever—deliver meaningful personalization, accelerate execution, and prove measurable business impact. At the same time, teams are navigating increasing complexity: fragmented data, disconnected tools, and insights that arrive too late to act on. AI can change this—but only when it’s embedded directly into how people already work. That’s why Microsoft and Adobe are deepening our partnership: bringing customer experience intelligence, AI-powered workflows, and enterprise-grade AI directly into Microsoft 365 Copilot—so teams can move from insight to alignment to execution in one continuous workflow. The result is faster decisions, more coordinated execution, and clearer business outcomes—without breaking flow or context. Bringing customer experience intelligence into the flow of work Marketing teams don’t struggle because they lack data. They struggle because insights live in one place, collaboration in another, and execution somewhere else entirely. That disconnect slows teams down and creates unnecessary friction between analysis and action. Together, Adobe and Microsoft are changing that dynamic by connecting Adobe’s customer experience capabilities with Microsoft 365 Copilot and Copilot Cowork—so insight, collaboration, and next-best action can happen where work already happens: in Copilot Chat and in everyday apps like Teams, Word, and PowerPoint. Marketers can ask questions, explore insights, align with teammates, and take action without jumping between tools—turning intelligence into impact at the moment it matters. Adobe Marketing Agent for Microsoft 365 Copilot: now generally available A major milestone in this journey is the general availability of the Adobe Marketing Agent for Microsoft 365 Copilot, now available via Microsoft Commercial Marketplace. The Adobe Marketing Agent brings Adobe customer experience intelligence directly into Copilot, enabling marketing teams to: Accelerate time from insight to decision Move seamlessly from analysis to execution Keep humans firmly in control, with AI supporting—not replacing—decision‑making Importantly, the agent is enterprise-ready by design. IT administrators can deploy and manage the experience through the Microsoft 365 admin center, ensuring security, governance, and compliance at scale. Expanding executive experiences with Copilot Cowork Looking ahead, Adobe skills designed for customer experience orchestration will be accessible in Copilot Cowork—in a future release. This upcoming experience will enable customer experience leaders to engage with customer experience insights in a more direct, conversational way, bringing strategic visibility into the same Copilot environments where decisions are made and actions are coordinated. Built on Azure to scale securely and responsibly The technology foundation of this innovation is Azure. Adobe Experience Platform, Adobe Experience Platform Agent Orchestrator, and Adobe AI Agents are built on Azure and leverage Azure AI models, providing the scalability, security, and reliability enterprises require. By running on Azure, these agentic experiences benefit from Microsoft’s global infrastructure, enterprise‑grade security, and responsible AI commitments—supporting customer trust as organizations scale AI across their business. Designed for interoperability across agent ecosystems Modern enterprises don’t operate in a single ecosystem—and their agents shouldn’t either. Adobe agents are built to interoperate with agents created using Microsoft Azure AI Foundry or Copilot Studio, enabling customers to orchestrate richer, cross‑functional workflows across marketing, sales, service, and operations. This architecture is designed to enable organizations to compose agentic solutions that reflect how work actually happens—across systems, teams, and business processes. Moving from experimentation to execution This partnership reflects a broader shift in how organizations adopt AI—moving from experimentation to embedded, enterprise‑ready execution. By bringing the full power of Adobe Experience Platform together with Microsoft’s AI platform, cloud infrastructure, and Copilot experiences, we’re helping teams move faster with clarity, confidence, and control. This is how AI becomes not just powerful—but practical. Learn more Adobe + Microsoft partnership page Adobe Marketing Agent for Microsoft Copilot pageAgent Builder, Copilot Studio, or Azure AI Foundry: How We Decide for Every Client
Every client conversation starts the same way. Someone has seen a demo, attended an Ignite session, or read a press release. They want to build an agent. Then comes the question that derails more projects than any technical challenge: "Which tool should we use?" After deploying agents for clients across industries - insurance, professional services, manufacturing, public sector - we have developed a repeatable framework for answering that question. It is not based on which tool is newest or which has the best marketing. It is based on where projects actually succeed or fail in production. The three tools are not competitors The first mistake most teams make is treating Agent Builder, Copilot Studio, and Azure AI Foundry as a hierarchy - basic, intermediate, advanced. That framing leads to bad decisions. They are not a ladder. They are three distinct tools built for three distinct contexts. The right question is not "which tool is most powerful?" It is "which tool fits this project's constraints?" The framework: 4 questions We evaluate every project against four dimensions before recommending a tool: Who is building it? Where do users live? How complex is the logic? Who owns it after go-live? Agent Builder Copilot Studio Azure AI Foundry Builder profile Maker, no code Developer / power user Pro developer, Python User surface M365 Copilot Chat Teams, web, M365 Copilot Custom app, any surface Logic complexity Simple Q&A, task routing Multi-step flows, connectors Fully custom orchestration Post-go-live ownership Business team IT + Business joint Engineering team Governance M365 Admin Center Power Platform DLP Custom, Azure RBAC When we recommend Agent Builder Agent Builder is the right call when the business team wants to own the agent end-to-end, the use case is bounded, and the users already live inside M365 Copilot Chat. The key advantage is distribution - an Agent Builder agent surfaces natively inside Copilot Chat with zero additional deployment work. No IT ticket, no app registration, no Teams app package. The ceiling is real. Agent Builder does not support complex branching logic, external API calls, or dynamic prompt injection. The moment a client asks "can it also update a record in our CRM?" the answer is usually no. Use it when: The maker owns it, the use case is narrow, and M365 Copilot is already the user's primary surface. When we recommend Copilot Studio Copilot Studio is our default recommendation for the majority of enterprise agent projects. It covers the wide middle ground between no-code simplicity and full-code flexibility - within the Microsoft governance perimeter most enterprise IT teams already control. Power Platform connectors - 1,000+ out-of-the-box connectors means most enterprise data sources are reachable without custom API development M365 Copilot channel - surface a Copilot Studio agent directly inside M365 Copilot Chat, Agent Builder-level distribution with enterprise-grade logic underneath Topic-level governance - fallback behaviors, confidence thresholds, escalation paths configurable without code DLP policy enforcement - the agent operates within the same data loss prevention perimeter as the rest of the Power Platform tenant The most common mistake: under-investing in the knowledge layer. The agent authoring is the easy part. Getting SharePoint content structured, metadata consistent, and documents deduplicated is where most projects hit delays. Budget for it. Use it when: The use case requires connectors, dynamic responses, or M365 Copilot integration - and you want IT to own governance without requiring a developer team. When we recommend Azure AI Foundry Foundry is the right call when you need to bring your own model, build a fully custom orchestration pipeline, or integrate into a surface that has nothing to do with Microsoft 365. In practice, this means one of three scenarios: The client has a model fine-tuned on proprietary data that must be used The agent is embedded inside a custom-built web or mobile application The logic requires Python-level control - complex reasoning chains, multi-agent coordination, custom evaluation loops Foundry projects require a professional developer, take longer, and produce something the business team cannot maintain without engineering support. That is not a reason to avoid it - it is a reason to be honest with the client upfront. Use it when: You need full control of the model, the orchestration, or the surface - and you have a developer team to own it. The question that resolves most debates When a client is torn between Copilot Studio and Foundry, we ask one question: "Who is answering the 2am support call when this breaks in production?" If the answer is a developer, Foundry is viable. If the answer is the IT admin or the business owner, Copilot Studio is the right call. Not because Foundry is unreliable, but because the operational model has to match the tool. More projects fail from ownership mismatch than from technical limitations. What we see go wrong Reaching for Foundry too early. Developers often want full control and reach for Foundry before validating the use case. We have rebuilt several Foundry POCs in Copilot Studio when the production constraints called for it - faster to ship and cheaper to run. Under-scoping Agent Builder. Business teams choose Agent Builder because it looks simple, then hit the ceiling at month two. The re-platform cost is higher than building in Copilot Studio from the start. Ignoring the M365 Copilot channel. Many Copilot Studio projects are deployed as standalone Teams apps when they could surface directly inside M365 Copilot Chat. The distribution advantage is significant and underused. The short version Agent Builder - maker-owned, bounded use case, M365 Copilot surface, fast Copilot Studio - IT + business joint ownership, connectors, production governance, M365 Copilot integration Azure AI Foundry - developer-owned, custom model or surface, full control, higher cost Start with the ownership model. Everything else follows. Elliot Margot - Team Lead Jumpstart, Copilot and Agents at Witivio (Microsoft Partner). Connect on https://www.linkedin.com/in/elliot-margot-52742a156/.
