Freight software program supplier Alvys has launched an agentic AI platform that enables carriers and brokers to automate operational duties straight inside its transportation administration system (TMS). Referred to as Alvys Foundry, the platform helps pre-built and customized AI brokers that work with freight knowledge and workflows already held inside the TMS.
Foundry contains greater than 20 pre-built agent templates. Prospects can even create their very own brokers or work with Alvys engineers to construct and configure brokers round particular working procedures.
From AI help to execution
The brokers are designed to hold out outlined steps in freight workflows, together with detention processing, doc dealing with, fee audits, cargo monitoring, asset compliance, and claims administration.
Alvys’ Detention Agent can determine when detention time has been exceeded and file the detention. Doc Intelligence reads and information fee confirmations, payments of lading, and proofs of supply, whereas the Observe & Hint Agent handles test calls and cargo standing updates.
Different templates embrace a Fee Audit Agent for checking invoices, an Asset Compliance agent for authority, insurance coverage, and security information, and a Claims Agent for opening and documenting claims.
Prospects don’t essentially need to program these workflows themselves. Alvys says operators can add an present customary working process or describe a activity in plain language, after which Foundry generates a workflow for approval.
Brokers could be examined towards simulated knowledge earlier than deployment on stay freight. Operators can then construct, deploy, monitor, and pause them by the Foundry platform.
Alvys CEO Nick Darman stated the platform was developed after the corporate noticed how clients had been adopting AI throughout their freight operations. He stated some implementations launched extra instruments and logins with out becoming into present working procedures.
Alvys already makes use of AI elsewhere in its TMS. Insights gives info throughout hundreds, lanes, and margins, Intel points alerts on points together with climate and cargo theft, and one other AI characteristic creates hundreds from uploaded fee confirmations. Foundry provides brokers that may carry out authorised duties inside configured workflows.
Foundry operates on the prevailing infrastructure behind Alvys’ TMS, which incorporates greater than 120 integrations and native digital knowledge interchange connections with a whole lot of shippers. This offers the brokers entry to working context resembling lane historical past, buyer guidelines, paperwork, margins, appointments, and exceptions.
“We’ve the freight context and we perceive your lanes,” Darman stated. He added that maintaining the brokers inside the present platform removes the necessity to preserve separate integrations and logins.
Alvys stated Foundry runs on a SOC 2-compliant safety basis and that its agreements with mannequin suppliers stop buyer knowledge from getting used to coach public fashions.
Foundry’s Agent Protect governance layer lets operators set approval and spending thresholds for particular person brokers. Larger-impact actions could be paused for human sign-off, whereas agent selections, actions, and guide overrides are recorded in an audit path.
Foundry additionally features a model-selection system that may route duties between massive language fashions based mostly on components together with value, velocity, and high quality. The system is designed to handle computing prices and keep away from tying workflows to a single mannequin supplier.
AI brokers develop throughout freight workflows
C.H. Robinson can also be utilizing AI brokers for operational freight duties. The freight dealer informed DC Velocity in January that it had deployed greater than 30 brokers that had collectively accomplished thousands and thousands of duties beforehand dealt with manually.
“Agentic AI doesn’t simply analyse or generate content material; it acts autonomously to realize objectives like a human would,” Mark Albrecht, vice chairman of synthetic intelligence at C.H. Robinson, stated.
One C.H. Robinson agent processes greater than 10,000 emailed pricing requests a day by studying the request, acquiring a value from the corporate’s pricing system, and sending a response. One other reads load tenders and attachments earlier than changing the knowledge into orders.
Uber Freight has additionally embedded AI brokers into its transportation administration software program. In Might 2025, the corporate stated it had greater than 30 brokers automating work throughout procurement, cargo execution, monitoring, funds, and analytics.
Uber Freight stated it needs its TMS to maneuver past recording logistics info by automating repetitive operational work and guiding customers by transportation processes. The corporate described its longer-term aim as transferring the TMS past a system of file and towards a platform that may proactively information customers whereas automating repetitive duties.
Alvys is making use of that execution mannequin inside its personal TMS somewhat than by a separate automation layer. Prospects can begin with pre-built brokers, have Alvys engineers configure customized brokers, or construct their very own workflows on the Foundry platform.
Spartan Service Group is amongst Foundry’s early clients Founder and CEO Carlos M. Llanes Jr. stated the platform is getting used to scale back guide freight work whereas staff stay targeted on judgment and repair.
The launch follows Alvys’ $40 million Sequence B funding spherical in September 2025, led by RTP International. FreightWaves reported that the corporate has raised $77 million in whole, whereas Alvys says its platform handles greater than $9 billion in freight yearly.
Foundry is being launched by buyer cohorts somewhat than an unrestricted common rollout. FreightWaves reported that the primary cohort crammed after Alvys offered the platform at a June 17 buyer advisory board assembly, whereas a waitlist is open for the second cohort.
(Photograph by Barrett Ward)
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