Freight software provider Alvys has launched an agentic AI platform that allows carriers and brokers to automate operational tasks directly within its transportation management system (TMS). Called Alvys Foundry, the platform supports pre-built and custom AI agents that work with freight data and workflows already held within the TMS.
Foundry includes more than 20 pre-built agent templates. Customers can also create their own agents or work with Alvys engineers to build and configure agents around specific operating procedures.
From AI assistance to execution
The agents are designed to carry out defined steps in freight workflows, including detention processing, document handling, rate audits, shipment tracking, asset compliance, and claims management.
Alvys’ Detention Agent can identify when detention time has been exceeded and file the detention. Document Intelligence reads and files rate confirmations, bills of lading, and proofs of delivery, while the Track & Trace Agent handles check calls and shipment status updates.
Other templates include a Rate Audit Agent for checking invoices, an Asset Compliance agent for authority, insurance, and safety records, and a Claims Agent for opening and documenting claims.
Customers do not necessarily have to program those workflows themselves. Alvys says operators can upload an existing standard operating procedure or describe a task in plain language, after which Foundry generates a workflow for approval.
Agents can be tested against simulated data before deployment on live freight. Operators can then build, deploy, monitor, and pause them through the Foundry platform.
Alvys CEO Nick Darman said the platform was developed after the company observed how customers were adopting AI across their freight operations. He said some implementations introduced additional tools and logins without fitting into existing operating procedures.
Alvys already uses AI elsewhere in its TMS. Insights provides information across loads, lanes, and margins, Intel issues alerts on issues including weather and cargo theft, and another AI feature creates loads from uploaded rate confirmations. Foundry adds agents that can perform approved tasks within configured workflows.
Foundry operates on the existing infrastructure behind Alvys’ TMS, which includes more than 120 integrations and native electronic data interchange connections with hundreds of shippers. This gives the agents access to operating context such as lane history, customer rules, documents, margins, appointments, and exceptions.
“We have the freight context and we understand your lanes,” Darman said. He added that keeping the agents within the existing platform removes the need to maintain separate integrations and logins.
Alvys said Foundry runs on a SOC 2-compliant security foundation and that its agreements with model providers prevent customer data from being used to train public models.
Foundry’s Agent Shield governance layer lets operators set approval and spending thresholds for individual agents. Higher-impact actions can be paused for human sign-off, while agent decisions, actions, and manual overrides are recorded in an audit trail.
Foundry also includes a model-selection system that can route tasks between large language models based on factors including cost, speed, and quality. The system is designed to manage computing costs and avoid tying workflows to a single model provider.
AI agents expand across freight workflows
C.H. Robinson is also using AI agents for operational freight tasks. The freight broker told DC Velocity in January that it had deployed more than 30 agents that had collectively completed millions of tasks previously handled manually.
“Agentic AI doesn’t just analyse or generate content; it acts autonomously to achieve goals like a human would,” Mark Albrecht, vice president of artificial intelligence at C.H. Robinson, said.
One C.H. Robinson agent processes more than 10,000 emailed pricing requests a day by reading the request, obtaining a price from the company’s pricing system, and sending a response. Another reads load tenders and attachments before converting the information into orders.
Uber Freight has also embedded AI agents into its transportation management software. In May 2025, the company said it had more than 30 agents automating work across procurement, shipment execution, tracking, payments, and analytics.
Uber Freight said it wants its TMS to move beyond recording logistics information by automating repetitive operational work and guiding users through transportation processes. The company described its longer-term goal as moving the TMS beyond a system of record and toward a platform that can proactively guide users while automating repetitive tasks.
Alvys is applying that execution model within its own TMS rather than through a separate automation layer. Customers can start with pre-built agents, have Alvys engineers configure custom agents, or build their own workflows on the Foundry platform.
Spartan Carrier Group is among Foundry’s early customers Founder and CEO Carlos M. Llanes Jr. said the platform is being used to reduce manual freight work while employees remain focused on judgment and service.
The launch follows Alvys’ $40 million Series B funding round in September 2025, led by RTP Global. FreightWaves reported that the company has raised $77 million in total, while Alvys says its platform handles more than $9 billion in freight annually.
Foundry is being introduced through customer cohorts rather than an unrestricted general rollout. FreightWaves reported that the first cohort filled after Alvys presented the platform at a June 17 customer advisory board meeting, while a waitlist is open for the second cohort.
(Photo by Barrett Ward)
See also: Hershey applies AI across its supply chain operations
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