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Agents 2026 Rank: #2874

Cisco AI Canvas ✓

The workspace for AgenticOps

206 views 12.6M/mo traffic 3 saves Unknown
IT Operations Workspace Tools Operational Efficiency
More categories (4)
Cross-Domain Telemetry Context Preservation Problem Resolution Agents
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Verdict

A quick read before you dig into the full page.

Best if
The workspace for AgenticOps
Skip if
Limited to Cisco environments
Pick this when
Merges cross-domain IT telemetry

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Overview

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.

Cisco AI Canvas website

Access & connections

Where you can use Cisco AI Canvas.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Text

Output

  • Text

Highlights

  • Agents

Supported features

  • Agents
  • Assistant
  • Automation
  • Cybersecurity
  • Integrations
  • Memory
  • Team Collaboration

Pros & cons

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
Show 32 more
  • Human-in-the-loop methodology
  • Generates task-focused views
  • Aids decision-making
  • Presents related signals
  • Supports workflow execution
  • Records evidence and outcomes
  • Enables reuse of operational patterns
  • Based on Cisco Deep Network Model
  • Extendable to third-party products
  • Unifies view of infrastructures
  • Evidence-based problem resolution
  • Promotes team coordination
  • Simplifies operational tasks
  • Remediates faster with approval-gated execution
  • Preserves model context protocol
  • Cuts down problem identification time
  • Enables operational pattern reuse
  • Curates unified view
  • Connected team dashboards
  • Natural language querying
  • Pinable telemetry and timelines
  • Reduces repetitious work
  • Shared evidence visualization
  • Agent-led investigation and recommendations
  • Validated task outcomes
  • Telemetry pull across Cisco domains
  • Converged infrastructure monitoring
  • Shares workspace without screen sharing
  • Operator-supervised executions
  • Context-based signal narrowing
  • Pulls cross-domain telemetry
  • Preserves evidence through tool switching

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
Show 2 more
  • High reliance on human-in-the-loop methodology
  • Possible redundancy with existing tools

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Releases 1

Initial release January 3, 2026 Current
Initial release of Cisco AI Canvas.

FAQ 12

What is Cisco AI Canvas?
Cisco AI Canvas is a generative workspace tool designed to merge cross-domain IT telemetry, teams, and agents. It consolidates various domains and tools into a single workspace, boosting operational efficiency and coordination among teams. The tool is built on the Cisco Deep Network Model and offers features such as maintaining context across operations and systems, facilitating evidence preservation, and enabling workspace sharing.
How does Cisco AI Canvas improve efficiency among teams?
Cisco AI Canvas enhances team efficiency by consolidating different domains and tools into a single workspace. Through the Model Context Protocol, agents query connected tools and retrieve necessary telemetry, reducing operational silos. Furthermore, it offers features for evidence preservation and workspace sharing, eliminating the need for constant screen sharing.
How does Cisco AI Canvas maintain context across operations?
Cisco AI Canvas maintains context across operations by utilizing the Model Context Protocol, which allows agents to query connected tools and retrieve only the necessary telemetry. This minimises the dispersion of information across operational silos and provides a comprehensive view of the operation within a single workspace.
Can I launch Cisco AI Canvas from platforms like Meraki, Splunk, or Cisco Cloud Control?
Yes, you absolutely can launch Cisco AI Canvas from other platforms such as Meraki, Splunk, or Cisco Cloud Control. These platforms can easily integrate with AI Canvas, facilitating seamless transitions between different operational contexts.
What is the Model Context Protocol used by agents in AI Canvas?
The Model Context Protocol is deployed by agents in AI Canvas to query connected tools. It is designed to retrieve only the necessary telemetry which is crucial to the operation at hand. This helps in minimizing operational silos and ensures that all pertinent information is available in a consolidated form.
What does it mean to pin telemetry, timelines, and artifacts in AI Canvas?
Pinning telemetry, timelines, and artifacts in AI Canvas means saving and preserving vital operational data in the workspace. This feature facilitates evidence preservation by keeping all the significant data intact and readily accessible, even through tool switching, handoffs, and escalations.
How does workspace sharing work in AI Canvas?
In AI Canvas, workspace sharing involves the colaborative use of the workspace. This feature allows operational teams and leadership to all view the same evidence, working conclusion, and next steps without needing a live walkthrough. This eliminates the need for screen sharing and promotes efficient team collaboration.
What is the human-in-the-loop methodology used by AI Canvas?
The human-in-the-loop methodology used by AI Canvas incorporates human overseeing into the operational workflow. In this system, agents investigate and suggest solutions, while humans review the rationale and approve the execution. This approach ensures the incorporation of human intuition and judgement, while still benefiting from the efficiency of AI.
How does AI Canvas assist in decision-making?
AI Canvas facilitates decision-making by generating a task-focused view from a single prompt, with all necessary sources attached. It also presents related signals to narrow down the scope of the operation. These features make the decision-making process more straightforward, efficient, and informed.
How does AI Canvas help in problem identification and resolution?
AI Canvas aids in problem identification and resolution by connecting related signals to quickly narrow down the scope of an operation. This helps teams expedite the elimination process and improves the mean time to resolution. It further supports agents in executing approved workflows and capturing changes and outcomes for future reference.
How does AI Canvas support agents in executing workflows?
In AI Canvas, agents are supported in executing workflows by the tool's human-in-the-loop methodology. Agents propose next steps, operators approve, and then agents execute the approved workflow. This not only facilitates faster remediation but also ensures validated outcomes through approval-gated execution.
What does the record of evidence in AI Canvas consist of?
The record of evidence in AI Canvas includes a comprehensive log of evidence, decisions, approvals, and outcomes related to an operation. This record allows for the successful operational patterns to be reused in the future, optimizing efficiency and consistency.
Cisco AI Canvas
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