Stop Experimenting With AI. Start Measuring Its Value.

Without a clear view of your AI agents, it becomes difficult to manage risk, maintain compliance, and control growth across your environment. A unified registry provides centralized visibility into every agent so you can monitor activity, enforce governance, and scale adoption with confidence.

Employees often struggle to find the right AI tools, leading to inconsistent usage and reliance on unapproved solutions. An intelligent agent store makes it easy to discover and deploy trusted, role‑specific agents so teams can quickly improve productivity while maintaining control and consistency across the organization.

Uncontrolled agent creation can lead to security risks, compliance issues, and lack of accountability across your environment. Policy-based guardrails ensure only the right users can create and manage agents, with built-in controls that enforce standards, assign ownership, and keep every agent aligned with your security and compliance requirements.

Excessive or unclear agent access can expose sensitive data and increase security risk across your environment. Least-privilege access governance ensures each agent only uses what it needs, helping you protect critical data, reduce risk, and maintain control over how agents interact with your systems.

Static access controls can miss changing risk conditions, leaving your data exposed or over-restricted. Context-aware conditional access adjusts in real time based on user behavior and risk, helping ensure AI agents operate securely while still enabling the access needed to keep work moving.

Limited visibility across teams makes it hard to understand how AI agents are performing, where risks exist, and what impact they are driving. Role-based oversight gives each team a clear, tailored view so they can track performance, address risks, and make informed decisions with confidence.

Without clear performance insights, it is difficult to measure value, identify issues, or improve how AI agents operate. Performance analytics provide visibility into how agents are performing so you can optimize outcomes, improve quality, and make informed decisions that maximize the return on your investment.

Disconnected systems and limited integration options make it difficult to scale AI agents across your business. An open integration ecosystem connects agents to the tools and data they rely on, giving you the flexibility to extend capabilities, adapt to changing needs, and build solutions that grow with your organization.

Without access to the right business context, AI agents can produce generic or inaccurate outputs that limit their value. Work IQ and context integration connects agents to your data and workflows so they deliver more relevant insights, support better decisions, and drive meaningful outcomes across the business.

AI agents that operate outside of everyday tools can disrupt workflows and slow adoption. Microsoft 365 app connectivity enables agents to work directly within the applications your teams already use, helping streamline tasks, improve collaboration, and drive productivity without changing how people work.