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Cisco VP Reframes AI As Operational Amplifier To Scale Human Expertise

March 9, 2026

Cisco VP Jason Andrews shares his playbook for driving 50% efficiency gains with automation and how he's preparing for the next wave of AI-native systems to unlock even greater business impact.

Cisco VP Reframes AI As Operational Amplifier To Scale Human Expertise
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You don’t start with automation to chase every task. First, you map the value stream, ask which processes still matter, and then apply AI to amplify the work that truly drives outcomes.

Jason Andrews

Vice President
@
Cisco

While headlines often focus on AI's role in drastic workforce decisions, a more pragmatic conversation is happening inside large enterprises that focuses less on human replacement and more on operational amplification. From this vantage point, AI becomes a strategic opportunity rather than a workforce threat. By moving employees and managers away from reactive reporting and manual coordination, leaders position their teams for proactive risk management, scaled human expertise, and predictive decision-making.

It's a concept Jason Andrews understands how to apply at scale. As a Vice President at Cisco, he leads strategy in a division of more than 22,000 employees contributing to $36 billion in annual revenue. Drawing on more than two decades of experience driving technology transformation, he said the first step isn't figuring out which processes to automate. It's deciding if they're necessary to begin with.

"You don’t start with automation to chase every task. First, you map the value stream, ask which processes still matter, and then apply AI to amplify the work that truly drives outcomes." This approach is a direct response to the low-value work that often bogs down large organizations. Andrews said employees often consume valuable time reporting on problems, which can prevent them from actively focusing on impactful work. "Imagine you have five days in a week and on the fifth day, you're supposed to present to a team. It takes four of those days just to compile the information. You haven't actually solved a single problem. All you've done is gotten all the problems on a piece of paper, and that's not hugely effective."

  • Beyond the status report: In Andrews’ view, the path forward involves automating the planning and reporting tasks that can eat up so much of a team's time. "The goal is to enable proactive risk identification and mitigation by transitioning teams from data aggregation to actually solving problems. For example, an AI assistant can look through all the tickets to build a summary. From there, it can perform dependency collision detection or even enable portfolio simulations, which allows us to spend more time on solutions, not just status updates."

  • From hours to minutes: Andrews said this approach leads to massive efficiency gains, ultimately allowing his organization to achieve the same outcomes with fewer resources. "I talked to a PM who told me he spent ten hours a week compiling a single report. Now, he's got that down to fifteen minutes. We were able to repurpose and scale him up to the point where we've seen almost a 40 to 50% reduction in headcount over the last five years just through automation and integration."

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