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Agent 365: Governed, Discoverable Agents
Microsoft Copilot Studio
Jan 28, 2026 9:25 PM

Agent 365: Governed, Discoverable Agents

by HubSite 365 about Microsoft

Software Development Redmond, Washington

Agent Three Sixty Five and Microsoft Three Sixty Five secure findable AI agents with registry, governance and compliance

Key insights

  • Agent 365 is a unified control plane for deploying, managing, and securing AI agents across Microsoft 365.
    It makes agents discoverable, governed, and secure so organizations can scale safe automation.
  • Core components include an agent registry to track active agents, a visibility dashboard for usage and cost insights, and strong access controls.
    These integrate with existing compliance and protection features to give IT a single view of agent activity.
  • The platform supports Agent Mode and agentic AI that run multi-step workflows across Word, Excel, PowerPoint, and Outlook.
    Agents can act proactively on data and apps, automating tasks like drafting documents, cleaning tables, or organizing inboxes.
  • Admins can monitor and govern agents using familiar Microsoft 365 tools and integrations such as Defender, Entra, Intune, Purview, and Security Copilot.
    These connections help detect misuse, enforce policies, and reduce data exposure risks.
  • Key benefits are scalable management, enhanced security, proactive workflows, and easy customization with performance and cost tracking.
    Organizations gain faster automation while keeping governance and oversight in place.
  • The session emphasized governance, transparency, and trust as essential for safe adoption and answered questions on integration and licensing.
    Teams can build custom agents with Copilot Studio, AI Studio, and connectors, while admins use the dashboard to monitor and refine agent behavior.

Video overview: Microsoft presents Agent 365 for modern work

Microsoft released a webinar-style YouTube video that introduces Agent 365, a centralized control plane for deploying, managing, and securing AI agents across Microsoft 365. The session framed the technology as a response to growing demand for automated, multi-step workflows and showed how admins and end users might interact with agents in everyday apps. Moreover, presenters emphasized transparency, trust, and governance as core principles to ease enterprise adoption and reduce risk. As a result, the video combined a product demo with a question-and-answer segment addressing integration and licensing concerns.


The hosts demonstrated real-world scenarios to illustrate benefits and limits, including examples in Outlook, Word, Excel, and PowerPoint. They explained that agents differ from single-prompt assistants because they plan, decide, and act across apps with minimal input, a shift labeled agentic AI. Consequently, the video aimed to reassure IT leaders by showing how centralized controls can make such autonomy manageable. Finally, the presenters positioned Agent 365 as a practical bridge between productivity gains and necessary safeguards.


Core features and user experience

The video highlighted several key elements of Agent 365, beginning with a unified registry that makes agents discoverable to authorized users. In addition, presenters showed a visibility dashboard that tracks performance, usage, and costs, which helps teams prioritize high-impact agents. They also demonstrated how end users can find and personalize agents that automate repetitive tasks, thereby boosting productivity without deep technical knowledge. Furthermore, the demo illustrated how agents can run iteratively, allowing users to refine outputs and retain control over outcomes.


Presenters noted integration with tools like Copilot Studio and internal connectors to extend pre-built agents or support custom scenarios. Importantly, the session explained that “Agent Mode” in Office apps enables chat-like collaboration where users set outcomes and the agent executes steps. This approach reduces friction for users who want automation but also want to review and revise results. Therefore, the video argued that the combination of discoverability and iterative control can drive adoption while limiting unexpected behavior.


Security, governance, and tradeoffs

The hosts devoted substantial time to governance, pointing out that discoverability must balance with privacy and access controls. For example, while a broad registry helps users find useful agents, it can also surface agents that access sensitive data, so admins must set permissions carefully. Moreover, integrated security with tools like Security Copilot, Microsoft Defender, and compliance services can detect misuse, but these layers add configuration overhead and operational costs. Thus, enterprises face a tradeoff between openness for productivity and tightened rules for risk mitigation.


The session also discussed monitoring and evaluation tools that assess agent quality and behavior over time, which is critical for continuous improvement. However, presenters acknowledged that measuring effectiveness remains complex, especially when agents span multiple systems and KPIs. Consequently, organizations will need clear metrics and regular audits to keep agents aligned with business goals and regulatory requirements. In short, governance reduces risk but requires investment in processes and tooling.


Deployment, integration, and licensing challenges

Speakers explained that Agent 365 integrates across Microsoft 365 suites and supports both pre-built and custom agents via development tools, yet integration complexity can vary by environment. For instance, linking agents to line-of-business systems or third-party APIs often demands additional connectors and testing, which increases implementation effort. Therefore, IT teams should plan for phased rollouts and pilot programs to validate agent behavior and performance at scale. At the same time, the centralized control plane aims to simplify management as adoption grows.


Licensing and entitlement questions arose during the webinar, as organizations weigh productivity gains against ongoing costs. Presenters addressed common concerns about tiers, enterprise bundles, and how security-focused plans fit in, noting that options vary by customer needs. Nevertheless, the video emphasized that transparent cost monitoring in the dashboard helps teams track spend and attribute value. Ultimately, enterprises must balance upfront development and licensing expenses against projected efficiency improvements.


Implications for IT and end users

Finally, the video painted a clear picture of shared responsibility: IT leaders must govern and secure agents, while business users should own outcomes and feedback loops. Consequently, best practices include creating approval workflows, documenting agent intents, and setting clear escalation paths for anomalies. Moreover, training and change management surfaced as crucial ingredients because end users need guidance to trust and adopt agent-driven workflows.


In conclusion, Microsoft’s YouTube session presented Agent 365 as a pragmatic attempt to scale agentic AI within enterprises while keeping control in administrators’ hands. Although the platform promises productivity and automation, it also introduces tradeoffs around privacy, cost, and operational effort that organizations must manage. Therefore, early pilots, strong governance, and measurable success criteria will likely determine which deployments succeed in the long run.


Microsoft Copilot Studio - Agent 365: Governed, Discoverable Agents

Keywords

Agent 365, discoverable agents, governed agents, secure agents, agent governance, agent discovery platform, AI agent security, enterprise agent compliance