Company: PAlo Alto Networks
Support Copilot
Support Copilot is an AI-powered assistant designed to help customers resolve issues faster by enabling self-service troubleshooting and automating the support case lifecycle.
The project introduced Copilot’s support capabilities across two surfaces:
Customer Support Portal (CSP): where most support cases are created
Strata Cloud Manager (SCM): providing in-product troubleshooting and case management
The goal was to reduce support case volume and improve time to resolution by enabling customers to solve common issues without requiring direct Support Engineer involvement.
The initiative is part of Palo Alto Networks’ broader strategy to transition support toward an AI-driven, self-service model.
2026
Definition
The Problem
Palo Alto Networks processes hundreds of thousands of support cases each year across its security products. For Network Security alone:
376,000 support cases were opened in 2024
Average mean time to resolution (MTTR) was 5 days
Case analysis revealed that many requests fell into predictable categories: ‘How-To’s ,’ ‘Known Issues,’ and ‘Unknown Issues.’ A large portion of these cases did not require direct support engineer involvement. Despite this, the support workflow relied heavily on manual case creation and human intervention, creating unnecessary delays for customers and additional operational load for support teams.
Number of Support Cases
Mean Time to Resolution
Types of Support Cases
Customers challenges:
Long wait times for case resolution
Difficulty finding the right documentation
Limited in-product guidance for resolving issues
Support teams challenges:
High case volume and operational costs
Repeated effort answering similar questions
Limited automation for diagnosing or resolving common issues
Goals
The Support Copilot initiative aimed to transform support from a reactive model into an AI-assisted self-service experience by:
Enabling customers to resolve issues through AI-guided troubleshooting
Reducing support case volume through case deflection
Improving mean time to resolution (MTTR)
Providing in-product troubleshooting assistance
Automating key parts of the support case lifecycle
The initiative aims to automate resolution across the case categories:
‘How-To’ cases (~29% of total cases) resolved through Copilot self-service
‘Known Issues’ (~34% of total cases) solved through automated playbooks
‘Unknown Issues’ (~37% of total cases) analyzed and codified into new playbooks for future automation
Solution
I designed the customer-facing Support Copilot experiences across both the Customer Support Portal and Strata Cloud Manager, focusing on four primary workflows.
Case Deflection
Customers can describe their issue through a conversational interface. Copilot analyzes the request and generates contextual troubleshooting guidance before a support case is created.
This allows customers to resolve common issues immediately without opening a ticket, reducing support case volume and enabling faster resolution.
Case Creation
If the issue cannot be resolved through self-service, Copilot seamlessly transitions into case creation. Copilot automatically:
Classifies the issue based on the conversation and product context
Suggests case severity
Prefills relevant details using device context and conversation history
Captures environment information such as device details and configuration data
Generates a structured case summary that users can review and edit before submission
This ensures that cases are submitted with complete and accurate information, reducing manual effort for customers while helping Support Engineers diagnose issues faster.
In-Product Troubleshooting
Within Strata Cloud Manager, Copilot understands the user’s platform context and the page they are currently working on.
Users can upload screenshots, and Copilot analyzes the image to generate targeted troubleshooting guidance. It can also direct users to the relevant pages in the platform to confirm and resolve the issue.
This allows admins to diagnose and resolve problems without leaving the product or manually describing complex technical details.
Contextual Workflow Assistance
Copilot provides in-context support directly within platform workflows, tailored to the specific task admins are currently performing.
It surfaces natural-language explanations of configuration differences, helping Network Admins quickly understand what will be changed. When errors occur, Copilot provides contextual insights that explain the issue and can be launched directly from the workflow to guide users through the next steps.
By embedding support within the interface, administrators receive relevant assistance at the moment they need it, without leaving the workflow they are in.
Conclusion
Impact
Since introducing Support Copilot, the Network Security platform reversed support case volume growth for the first time:
Case volume decreased by 3%
Mean time to resolution (MTTR) improved by 29%
Customer satisfaction remained above 90% CSAT
Historically, support case volume had steadily increased as the business and customer base grew. These results demonstrated that AI-driven support can scale with product growth while reducing operational load and improving customer outcomes.