Loadsmart AI launched a set of AI agents that execute freight work end to end inside the systems enterprise shippers already run.
The agents come backed by the company's own freight operators, who close out any task the agents don't resolve.
"Transportation teams have been asked to adopt technology the same way for twenty years: buy the platform, migrate the data, retrain the team, hope it sticks," says Felipe Capella, co-founder and CEO of Loadsmart. "We don't think AI arrives that way. It arrives one task at a time, inside the systems you already run, doing work you can watch it do. We're not selling a tool for your team to manage. We're selling the outcome, resolved and under full monitoring."
Key takeaways:
· Loadsmart AI agents take a task, collect and file a document, pull status from a carrier, rebook a dock appointment, retender a failed load, and update a record in the TMS.
· Loadsmart's freight experts work the exception itself - the one task the agent couldn't close - and see it through to resolution.
· The agents available at launch cover document collection and filing, tracking and status updates, tender failures and retendering, proactive load audits, claims processing, and scheduling and rescheduling. Each runs under rules and guardrails the customer defines, and connects to existing systems over API, EDI, MCP and more.
· A shipper can describe any repetitive, high-volume workflow its team runs by hand, and Loadsmart will build an agent against its existing stack.
