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Cisco AI Canvas

The workspace for AgenticOps

Agents & automation· 4.5·0 saves·Freemium

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The workspace for AgenticOps
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About Cisco AI Canvas

AI Canvas is a workspace tool that merges cross-domain IT telemetry, teams, and agents into one generative platform. It is designed to improve efficiency and coordination among teams by consolidating multiple domains and tools in a single workspace. A significant feature of the tool is its ability to maintain context across operations and systems. Users can launch AI Canvas from other platforms such as Meraki, Splunk, or Cisco Cloud Control.Agents use the Model Context Protocol to query connected tools and retrieve only necessary telemetry, thus minimizing operational silos. AI Canvas allows teams to pin telemetry, timelines, and artifacts, facilitating evidence preservation. Another feature worth noting is the tool's collaboration capacity, which allows workspace sharing among teams without screen sharing.AI Canvas employs a human-in-the-loop methodology, where agents investigate and propose solutions while humans approve the execution. From a single prompt, AI Canvas can generate a task-focused view with sources attached, making the decision-making process more straightforward. The tool also presents related signals to narrow down the scope of the operation, leading to faster problem identification and resolution. AI Canvas supports agents in executing approved workflows and capturing changes and outcomes. Additionally, the workspace acts as a record of evidence, decisions, approvals, and outcomes, making it possible to reuse successful operational patterns over time.AI Canvas is based on the Cisco Deep Network Model and enables users to pull relevant telemetry and context across Cisco domains. It is also extendable to third-party products over time. It aids in curating a unified view of converged and hyperconverged infrastructure among various Cisco products.

Pros

  • Merges cross-domain IT telemetry
  • Improves team efficiency
  • Consolidates multiple domains
  • Maintains context across operations
  • Launchable from other platforms
  • Minimizes operational silos
  • Facilitates evidence preservation
  • Offers workspace sharing
  • Human-in-the-loop methodology
  • Generates task-focused views
  • Aids decision-making
  • Presents related signals

Cons

  • Limited to Cisco environments
  • Dependent on Model Context Protocol
  • Operational silos still present
  • Third-party product integration overtime
  • Human approval required for execution
  • Necessity to pin telemetry manually
  • Screen sharing not possible
  • Reusability of operational patterns unclear
  • High reliance on human-in-the-loop methodology
  • Possible redundancy with existing tools

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