DispatchTrack Launches Autopilot, Putting AI Agent-Building in Customers' Hands

The new AI feature lets operations teams build their own AI agents inside DispatchTrack simply by describing them in plain language, turning DispatchTrack into a platform its customers can automate for themselves.

CAMPBELL, Calif., Nov. 12, 2026 — DispatchTrack today announced the launch of Autopilot, an AI-powered workflow builder that lets customers create their own agents to automatically perform tasks within the DispatchTrack platform. With Autopilot, users describe what an agent should do in natural language, watch its workflow take shape on a live visual canvas, and activate it across the platform. There is no rule syntax to learn, no code to write, and no support tickets required.

The launch marks a shift in how DispatchTrack delivers AI: from capabilities the company builds for its customers to a platform customers build on themselves. Autopilot lets any DispatchTrack capability, from scheduling and notifications to forms and DataSense insights, trigger any other using logic each customer defines in plain language. It is the connective layer of DispatchTrack's AI transformation, and the first delivery platform customers can automate end to end without engineering.

"Every capability on our platform, from scheduling and notifications to forms and DataSense insights, can now be connected by agents our customers build themselves."

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Every delivery operation is different. For businesses running complex deliveries, much of the day is spent on repetitive tasks that fall outside typical software workflows. Staff manually clear fields from imported orders, chase documentation such as certificates of insurance, and track down schedule changes made by third-party carriers after an end customer has confirmed their window. Each of these workarounds costs time and money while introducing the potential for human error.

Autopilot replaces these manual workarounds with agents that customers build and control themselves. Key features include:

• Chat-based workflow builder: Users describe what they want in plain language, and Autopilot translates it into a workflow. The builder is aware of the forms, order fields, and features already set up in each customer's instance.
• Live visual canvas: Each workflow takes shape on screen as a clear trigger, condition, and action sequence, so users can see and verify the logic before activating it.
• Custom actions: Users can define their own actions including custom alerts with their own recipients, channels, and message content, drawing on order data such as previous and updated time windows.
• Built-in safeguards: Workflows are saved as drafts until activated, access is limited to administrative users, and a single control pauses all automation instantly.

The result is less manual work, fewer errors on repetitive tasks, faster response to last-mile exceptions, and a level of customization that adapts DispatchTrack to each customer's unique operation.

Autopilot is the latest in a series of AI capabilities DispatchTrack has shipped in the past 5 months, and it is the foundation for what comes next, beginning with closed-loop exception resolution: agents that detect, diagnose and resolve delivery exceptions without a person in the loop.

"DispatchTrack has always been more than delivery software, and with Autopilot it becomes a true logistics automation workflow framework," said Satish Natarajan, founder and CEO of DispatchTrack. "Every capability on our platform, from scheduling and notifications to forms and DataSense insights, can now be connected by agents our customers build themselves. We've shaped the way DispatchTrack works with more than 16 years of logistics expertise, and now we're empowering our customers to do the same with their own domain knowledge, right within the platform."

Autopilot is available today to DispatchTrack customers on qualifying plans.

Media Contact

Brian Hoey, DispatchTrack, 1 5165121312, [email protected], dispatchtrack.com

SOURCE DispatchTrack