Microsoft Fabric Blog explains how operations agents in Real-Time Intelligence use AI and ML to automate business monitoring, inference, and action, enabling teams to enhance operational efficiency.

Improving Operational Efficiency with Operations Agents in Fabric Real-Time Intelligence

Agentic systems are AI-powered agents capable of perceiving, reasoning, acting, and learning through continuous feedback loops. Microsoft Fabric Real-Time Intelligence provides a platform layer for these agents, allowing them to process signals from diverse sources and operate at scale.

Key Features and Ignite Updates

  • Fabric Real-Time Intelligence connects data from time, space, physical, and digital sources, serving as the foundation for agentic solutions.
  • The latest Ignite updates introduce autonomous operations agents that monitor data, infer goals, recommend actions, and learn from operational feedback.
  • These agents utilize continuous monitoring and dynamic goal setting to construct actionable plans.

How Operations Agents Work

  1. Setup and Configuration
    • Users define business goals and instructions, choose Eventhouse data sources, and specify available actions via Power Automate integrations.
    • Goals provide context for business processes, while instructions clarify which fields to monitor and what actions to take.

    Screenshot: operations agent configuration interface.

  2. Autonomous Planning
    • The agent creates a playbook, detailing entities, properties, and monitoring rules rooted in Eventhouse data.
    • It continuously observes for events matching defined conditions.

    Screenshot: agent's playbook showing business terms and rules.

  3. Reasoning and Action
    • When relevant conditions are met, the agent evaluates and recommends appropriate actions, submitting its findings and recommendations to users in Teams.
    • Users retain control, validating proposed actions before automation occurs.

    Screenshot: Teams chat with agent recommendations.

Getting Started

  • Enable Copilot/AI and operations agent settings at the tenant level.
  • Use a workspace backed by Fabric capacity (trial capacities not supported).
  • Find full documentation: Operations Agent
  • Share your scenarios or feedback in the Fabric Community Forums.

Real-World Impact

Operations agents in Fabric Real-Time Intelligence are designed to:

  • Automate monitoring and response workflows
  • Help organizations reduce risk
  • Keep humans informed and involved
  • Boost decision-making by embedding real-time AI and ML in business processes

Author: Microsoft Fabric Blog

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