Samsara launches Agent Studio, bringing no-code AI workflows to physical operations

Man speaking at University of Charlotte branded podium during presentation with Agent Studio software interface displayed on screen
Eric Danko, who leads global public policy and government affairs for Samsara, the platform relies on proprietary data originating directly from field operations rather than information that can be easily found on the open web. Users of the studio are able to adjust system capabilities, manage permissions, oversee activity levels, and tailor configuration settings.

Samsara is taking its new Agent Studio, control center that enables custom artificial intelligence workflows in minutes without IT or developer experience, public.

The platform's official launch at the American Trucking Associations’ Management Conference & Exhibition (MCE) Sunday follows an open beta testing period that opened in June.

Agent Studio allows customers and partners to create custom agents from scratch or use more than 25 pre-built templates focused on safety and fleet maintenance. 

Eric Danko, Samsara's head of global public policy and government affairs, noted the platform is built on physical operations data "that lives inside of physical operations" and is "not just internet-Googleable." Within the studio, builders can toggle capabilities, configure settings, set permissions, and monitor usage.

Companies can integrate their internal policies and documents as a knowledge base, preview agent behaviors before deployment, and track outcomes using a built-in performance dashboard.

Early adopters across several industries are already using the studio to automate complex administrative workflows:

  • Driver assistance: A major food distributor deployed a "driver wingman" that answers questions regarding parking, weigh-stations, company policy, and escalations using dynamic location and company data, reducing communication time by 30 minutes per call.

  • Daily maintenance digest: A food bank utilizes a fleet briefing tool to provide operations teams with rapid updates on fleet status and vehicle inspection report compliance, eliminating hours of manual tracking each week.

  • Driver and vehicle identification: A field services company automated an assignment workflow that identifies moving vehicles with unknown drivers and links trucks to staff, mitigating insurance risks and reducing dispatch radio traffic.

"Agent Studio is really the first platform that helps physical operators say, 'How did that occur in each of these three areas?'" Danko said, highlighting that the tool is designed to adapt to specific operational needs rather than forcing businesses into generic workflows. 

Post-testing discoveries

Since launching its open beta in June, Danko said Agent Studio has experienced a rapid acceleration in customer adoption, highlighting a fundamental shift in how physical operations engage with artificial intelligence.

The first half a million prompts processed through Agent Studio took 112 days (roughly a third of a year), Danko said, while the most recent half a million prompts were completed in just 16 days—a 7X acceleration in adoption.

Fully one-third of customers who have activated Agent Studio are utilizing two or more custom agents for their daily operations, he added.

Within just a month of launch, voice interaction surpassed chat as the preferred interface for users, with usage among voice customers continuing to double as operators manage tasks on the move. 

Jason Cannon has written about trucking and transportation for more than a decade and serves as Chief Editor of Commercial Carrier Journal. A Class A CDL holder, Jason is a graduate of the Porsche Sport Driving School, an honorary Duckmaster at The Peabody in Memphis, Tennessee, and a purple belt in Brazilian jiu jitsu. Reach him at [email protected]. 
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