Intelligent Work Management: Smartsheet’s AI Strategy

An episode of the AWS Executive Insights podcast, hosted by Amazon Web Services, titled "Intelligent Work Management: Smartsheet’s AI Strategy" was published on March 19, 2026 and runs 18 minutes.

March 19, 2026 ·18m · AWS Executive Insights

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Summary

AI is reshaping not just what software can do, but how it gets built and by whom. JB Brown, VP of Engineering at Smartsheet, shares how his team is navigating that shift from both sides of the equation, developing AI-powered capabilities for customers while fundamentally rethinking how engineers do their work. In conversation with Chris McNabney, Director of Solution Architecture at AWS, JB explains how Smartsheet's intelligent work management vision, powered by a Knowledge Graph built on Amazon Neptune, is giving customers digital teammates that help drive strategic outcomes at a speed and scale previously out of reach. He also shares the concrete productivity gains his engineering teams are seeing with tools like Roo Code and Amazon Bedrock, including an 80% reduction in CI pipeline time and around a 60% drop in average token costs. From managing agentic workflows to building AI that earns enterprise trust, this episode offers engineering and product leaders a grounded look at what it takes to lead AI transformation from the front.

Episode Description

In conversation with Chris McNabney, Director of Solution Architecture at AWS, JB explains how Smartsheet's intelligent work management vision, powered by a Knowledge Graph built on Amazon Neptune, is giving customers digital teammates that help drive strategic outcomes at a speed and scale previously out of reach. He also shares the concrete productivity gains his engineering teams are seeing with tools like Roo Code and Amazon Bedrock, including an 80% reduction in CI pipeline time and around a 60% drop in average token costs.

From managing agentic workflows to building AI that earns enterprise trust, this episode offers engineering and product leaders a grounded look at what it takes to lead AI transformation from the front.