Kaseya Expands VSA 10 with AI Workflow Builder, Aiming to Simplify Technician Tasks and Scale Automation

Kaseya is expanding the automation playbook for MSPs with the rollout of a new AI-powered workflow generator within its VSA 10 platform. The feature, driven by Cooper Copilot, is built to translate plain-language prompts into complete automation workflows, without any no coding or scripting. Technicians can describe an outcome, and the system responds with a structured set of actions, conditions, and triggers designed to execute that task from start to finish.

This update is more than a time-saver. It’s a response to real-world constraints facing IT teams, backlogs, resource limitations, and the rising pressure to do more without growing headcount. “From our early access, we’re seeing partners execute an additional 15 to 20 procedures a week,” told Jim Lippie, Chief Product Officer at Kaseya to ChannelE2E. “That number will only grow as we expand the library of workflows and capabilities. The goal is simple: drive meaningful efficiency for our partners, especially those stretched thin across client environments.”

Automation with Guardrails

That focus on efficiency comes with guardrails. While Cooper Copilot handles the heavy lifting of building workflows, users still hold final control. Every AI-generated automation goes through a review and approval process before deployment. “The AI workflow creator builds the template, but there's still a manual review and approval step,” Lippie explained. “That gives users time to evaluate each action, make necessary changes, and ensure the flow fits their environment before it’s launched. Automation should reduce risk, not introduce it.”

What sets Cooper Copilot apart is its ability to create multi-step, conditional workflows that go beyond surface-level scripting. According to Lippie, this isn’t just another assistant that spits out one-off scripts. “Cooper Copilot isn’t just a script builder. It builds full procedures with multiple automation flows from a single prompt. It checks for conditions, adds tags, prompts users, handles branching logic if steps fail, and maps actions based on how VSA works under the hood,” he said. “It’s trained specifically on our platform and designed to keep all partner data secure—nothing leaves the system, and communications are erased after use.”

Measuring What Matters

Looking ahead, Kaseya is planning to track more than just success rates. The team is focused on tying AI automation back to measurable operational improvements, like time-to-resolution, a reduction in manual tasks, and faster technician onboarding. “We’re not just looking at success percentages,” said Lippie. “We’ll be watching how automation is used, how quickly teams resolve tickets, and how confidently new technicians can start building complex flows with very little ramp-up. That’s where the long-term impact will show.”

For MSPs navigating growing workloads and client expectations, the ability to offload repetitive tasks to a trained AI that understands the environment and workflow logic could shift how they manage time, talent, and scale. VSA 10’s AI workflow builder doesn’t just reduce manual work; it aims to elevate the role of the technician, freeing them to focus on strategic, higher-value efforts across the stack.