How NetZen AI Is Redefining IT Support With Secure, Diagnostic Driven AI
In a recent interview with CanadianSME AI Business Review, Shweta Mishra, Founder of NetZen AI, shared how her background in IT service management, application support, and customer analytics shaped the vision behind NetZen AI.
Before founding NetZen AI, Shweta worked closely with enterprise customers and IT support teams. At Tangam Systems, she supported major casino operators, including MGM and Seminole, as a Senior Account Manager. Her work focused on application support, analytics, reporting, and helping customers improve operational outcomes.
Earlier in her career at Kennametal, she worked in IT support and used ticketing data to identify repeat issues, improve SLA performance, and increase first call resolution. By creating issue logs and knowledge base content, she saw how support teams could become more effective when repeated problems were captured and reused properly.
That experience also revealed a larger problem. Support teams often solve the same issues again and again, but the learning rarely makes its way back into the system. Technicians spend too much time collecting basic details, repeating manual checks, and chasing users for missing information. NetZen AI was created to solve this gap.
Moving Beyond Traditional Ticket Handling
NetZen AI treats every support request as a problem to diagnose, not just a ticket to route.
Traditional service desks often depend on static knowledge articles, manual triage, and repeated back and forth with users. A user reports that a device is slow, an application is not working, or internet access is failing. The technician then has to ask basic questions, check different tools, and gather enough context before real troubleshooting can begin.
NetZen AI changes that workflow. When a request comes in, the platform can run guided diagnostics on the user's environment and collect relevant technical signals. It can use this information, along with the organization's knowledge base, to resolve common issues faster and with the user's consent.
For simple issues, the AI can guide the user through self service steps or take approved actions where appropriate. For complex issues, NetZen AI still improves the process by escalating the ticket with a full diagnostic package. This includes what was tested, what failed, and what context matters.
This means technicians do not start from scratch. They receive a clearer picture of the issue, which helps them focus on root cause, prevention, and higher value support work.
Reducing Risk From Public AI Tools
Many IT teams now use public GenAI tools to speed up triage, documentation, and troubleshooting. These tools can be useful, but they also create risk when used without control.
The biggest concern is uncontrolled data exposure. Support teams may paste tickets, logs, screenshots, configurations, or customer emails into public AI systems. This can accidentally expose credentials, network details, customer identifiers, or sensitive business data.
For MSPs and IT teams, this is a serious issue because they handle client environments and private operational information.
NetZen AI is designed to give teams the speed of AI without exposing sensitive information. The platform keeps support activity inside its own secure ticketing system. Before AI processing happens, NetZen AI classifies the information and shares only what is needed to solve the problem.
When diagnostics are required, they run within the customer environment. NetZen AI can also redact or minimize the data that is passed to AI models. This means the AI receives useful technical signals, not unnecessary private information such as credentials, full emails, or sensitive client data.
This approach helps MSPs and IT teams use AI more safely while still improving speed and productivity.
Acting Like a Virtual Field Technician
NetZen AI positions itself as a virtual field technician for common support issues. It can diagnose problems on end user devices, collect system signals, guide users, and support approved automation.
The goal is not only to create tickets faster. The goal is to resolve more issues before they require manual technician effort.
NetZen AI is already seeing meaningful outcomes. Around 30 to 40 percent of tickets can be solved through self service. When tickets are escalated, junior staff can use a ticket copilot to reduce unnecessary senior escalations by another 30 to 40 percent. This allows senior technicians to focus on only the most complex cases, often around 5 to 10 percent of total issues.
For IT support leaders, this changes the way they think about staffing and service quality. Teams can handle more endpoints and more requests without adding headcount at the same pace. They can also improve consistency, reduce delays, and create a better customer experience.
AI That Supports Agents Instead of Overwhelming Them
Many traditional ITSM tools are complex. Agents often need months of training before they can use them effectively. When AI is added as another layer, it can create even more menus, workflows, and buttons.
NetZen AI takes a different approach. AI is built into the support workflow from the start. It works in the background when an issue is reported. It collects signals, runs checks, and resolves what it can without forcing agents to trigger complicated workflows.
When a ticket needs human attention, agents can work with a conversational ticket copilot. The copilot surfaces the data already collected and guides the next best steps. This helps agents stay confident, fast, and focused.
Responsible AI is also central to the platform. Essential guardrails include role based access, least privilege, strong tenant separation for MSPs, sensitive data masking, full audit logs, and human approval for high risk actions.
The vision behind NetZen AI is simple. AI should remove friction, not create more tasks. It should help IT teams deliver faster, safer, and more reliable support while keeping humans in control.
Read the full interview on The CanadianSME AI Business Review Magazine.