Cisco AI Canvas

Cisco AI Canvas is a generative workspace that consolidates IT telemetry, teams, and AI agents into a single platform designed to eliminate operational silos and improve cross-domain coordination. By integrating data from Cisco products like Meraki, Splunk, and Cisco Cloud Control, the platform maintains continuous context across complex infrastructure environments. Users can access AI Canvas directly from existing tools, enabling seamless workflow integration without disrupting established processes. The platform leverages the Model Context Protocol to enable intelligent agents that query connected systems and retrieve only relevant telemetry data. This targeted approach reduces noise and accelerates problem identification. Users can pin critical telemetry, timelines, and artifacts within shared workspaces, creating an audit trail of evidence and decisions without requiring screen sharing or external collaboration tools. AI Canvas employs a human-in-the-loop methodology where agents investigate issues and propose solutions, but humans retain control over execution approval. From a single prompt, the platform generates task-focused views with attached sources and presents related signals to help teams narrow investigation scope. Approved workflows execute automatically while capturing all changes and outcomes. The workspace functions as a persistent operational record, documenting evidence, decisions, approvals, and results. This historical context enables teams to identify and reuse successful operational patterns over time, building organizational knowledge. The platform is built on Cisco's Deep Network Model and is designed to be extensible to third-party products, supporting converged and hyperconverged infrastructure across multiple vendors.