Meet Autopilot: AI Agents to transform freight visibility into exception management

Chain, the AI-powered automation platform for freight brokers, announces the launch of its new AI agents for freight visibility, called “Chain Autopilot.” Designed to eliminate the need for manual check calls, Chain Autopilot shifts freight tracking from a constant monitoring process to an exception-based workflow, allowing brokers to focus only on what requires attention.

The tracking process in freight brokerage has long been a cycle of follow-ups, manual interventions, and repeated status checks. Chain Autopilot changes that. Rather than chasing updates, brokers get real-time tracking, automated check calls based on company SOPs, and alerts only when action is required. This reduces workload, improves tracking compliance, and ensures customers get timely updates without the back-and-forth.

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From Trucking to Tech: Chain’s Founding Story

Chain’s co-founders, Annalise Sandhu and Paramvir Sandhu—their experience running their own trucking company is what led them to build Chain. After dealing with the inefficiencies of manual operations, they sold the trucking assets, taught themselves to code, and set out to solve the industry’s biggest bottleneck: unnecessary manual work.

“Our goal has always been to help the industry focus on moving freight, not chasing updates,” said Annalise Sandhu, CEO of Chain. “Chain Autopilot is another step toward that—replacing repetitive tracking tasks with automation that works seamlessly in the background.”

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How Chain Autopilot Works

Traditional visibility solutions offer a dot on the map, but that still leaves a lot of manual work on the table. A location pin can tell you where a truck is, but it won’t confirm case count, ETAs, or collect PODs. That information still requires follow-ups, manual data entry, and coordination with carriers.

Chain Autopilot ensures that tracking data isn't just collected but acted upon in real-time. By combining Chain’s visibility platform with automation, Chain Autopilot turns tracking from passive monitoring into proactive exception management. Brokers are only alerted when intervention is necessary, reducing the need for check calls and freeing teams to focus on higher-value tasks.