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IT Operations

Cisco AI Canvas

The unified generative workspace for AgenticOps, merging IT telemetry, teams, and AI agents.

Category
IT Operations & Automation
Ideal For
Enterprises
Deployment
Cloud
Integrations
None+ Apps
Security
Role-based access, evidence preservation, approval-gated execution
API Access
Yes + Model Context Protocol for tool querying

About Cisco AI Canvas

Cisco AI Canvas is a generative workspace platform designed for AgenticOps, consolidating cross-domain IT telemetry, human teams, and AI agents into a single collaborative environment. It eliminates operational silos by maintaining context across systems and using the Model Context Protocol to query connected tools, retrieving only necessary data. The platform enables teams to pin telemetry, timelines, and artifacts for evidence preservation, share workspaces without screen sharing, and employ a human-in-the-loop methodology where agents investigate and propose solutions for human approval. When integrated with AiDOOS, deployment and governance are streamlined through the Virtual Delivery Center's outcome-based execution layer. AiDOOS enhances scalability by managing the assembly of specialized talent for implementation, governs tool usage and compliance, integrates AI Canvas with broader enterprise systems, and optimizes performance through continuous tracking and pattern reuse. This creates a closed-loop system where operational evidence and successful workflows are captured, validated, and scaled across the organization.

Challenges It Solves

  • Fragmented IT operations across multiple domains and tools create silos
  • Slow problem identification and resolution due to lack of unified context

Proven Results

40%
Faster problem identification and resolution
35%
Reduction in operational silos and repetitious work

Key Features

Core capabilities at a glance

Cross-Domain Telemetry Fusion

Unify infrastructure monitoring

Consolidated view of converged and hyperconverged infrastructure

Agentic Investigation & Recommendation

AI-driven problem solving

Agent-led investigations with human-approved execution

Evidence Preservation Workspace

Maintain operational context

Pinned telemetry, timelines, and artifacts for audit trails

Ready to implement Cisco AI Canvas for your organization?

Real-World Use Cases

See how organizations drive results

Network Incident Resolution
IT teams use AI Canvas to pull telemetry from Meraki and Splunk, allowing agents to investigate and propose fixes for network incidents with human oversight.
40
Faster mean time to resolution (MTTR)
Infrastructure Change Management
DevOps teams manage and execute approved workflows for infrastructure changes, capturing all evidence and outcomes in a single auditable workspace.
35
Reduced operational risk and errors

Integrations

Seamlessly connect with your tech ecosystem

C

Cisco Meraki

Explore

Launch AI Canvas directly to pull network telemetry and context for unified monitoring.

S

Splunk

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Integrate operational data to provide agents with comprehensive signals for investigation.

C

Cisco Cloud Control

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Extend workspace capabilities to cloud infrastructure management and telemetry.

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

See how it works for your team

Alternatives & Comparisons

Find the right fit for your needs

Capability Cisco AI Canvas Trainn AI WriteABookAI GravityWrite
Customization Good Good
Ease of Use Good Excellent
Enterprise Features Excellent Good
Pricing Fair Good
Integration Ecosystem Good Good
Mobile Experience Fair Good
AI & Analytics Excellent Excellent
Quick Setup Good Excellent

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Frequently Asked Questions

How does AI Canvas integrate with existing IT tools?
It uses the Model Context Protocol to query connected tools like Meraki and Splunk, pulling only necessary telemetry into a unified workspace, and can be extended to third-party products. AiDOOS can further streamline this integration governance.
Is human oversight required for all operations?
Yes, AI Canvas employs a human-in-the-loop methodology where AI agents investigate and recommend, but humans must approve all executions, ensuring governance and control.