Agents for the Exceptions That Eat Your Day

Every mile documented. Every exception resolved. Every system answering as one.

We build agents for carriers, brokers and 3PLs. The TMS was never the problem. The check calls, the missing POD and the load that went quiet at 2am are the problem.

Track
Process
Settle
One question

“Where is load 88214 and will it make the appointment?”

Status and stops

TMS

Current position

Tracking feed

Driver’s last update

Text thread, 40 minutes ago

Delivery appointment

Scheduling record

One answer, with its sources

Running 90 minutes late. Reschedule request drafted for the scheduler.

Four systems asked at once. Nobody opened four tabs, and nobody made a phone call to find out.

Companies we have built production systems for
Landstar
Bennett
Momentum Holdings
SkillCloud
S2 Software
Suncoast
The Ones With Numbers

Three of These Are Already Running

Not a pilot, not a proof of concept. Three named companies, published numbers, all of which you can check before you call us.

  • Landstar: 90% less time spent searching. One portal answers questions that used to mean opening four systems, so the person on the phone stops hunting and starts answering. That is the Shipment Visibility Agent below.
  • Bennett: 95% of invoice extraction automated, and a 70% faster processing cycle. Documents read, extracted and validated without a person retyping them, including the ones that arrive as a photograph of a crumpled page. That is the Document Processing Agent below.
  • Carter, a Caterpillar dealer: routing efficiency up 30%. Dispatchers, drivers and technicians were on separate systems for routing, tracking and communication. One dashboard and a driver app later, updates reach the customer without anyone making a call. That is the Dispatch Exception Agent below.

Both are carriers, and we would rather say so than let you assume otherwise. For a broker or a 3PL the paperwork and the settlement are the same. What differs is who you chase, and that is scoping, not a rebuild.

Both are published case studies. We will also tell you on a call what did not work the first time, which is usually the more useful half of the story.

Safe, Secure, Scalable

Getting It Built Is Easy. Getting It Through Peak Is the Job.

Freight does not stop for a deploy. Volume triples, a carrier’s API goes down, a receiver changes a form. The agent has to keep working or get out of the way cleanly.

Resilient

It degrades, it does not disappear

When a feed goes down the agent says so and hands the load to a person with what it already knows. Silent failure is worse than no agent, because dispatch stops checking.

Affordable

A known cost per load

We agree the cost per load or per document before the build, and meter and cap it per workflow, so the unit economics hold in the month you were busiest instead of surprising you.

Integrated

It speaks to what you already run

TMS, tracking feeds, EDI 204s and 214s, the carrier portal with no API, the receiver who still wants a fax. We have built against all of it, including the scheduled file drops.

Safe

A person still commits

Agents draft, schedule and recommend. Tendering a load, releasing a payment and committing to an appointment stay with your people unless you explicitly decide otherwise.

Measured

Proven on your worst documents

The accuracy bar gets set on your paperwork before anyone commits, not on our benchmark set. The handwritten BOL and the faxed POD are the test, because they are the actual job.

Supported

Someone is up when you are

Monitoring, drift checks and the morning a partner changes their file format are ours. Your operation runs at 3am, so the thing watching the agent cannot keep office hours.

These are the same controls we publish openly, applied to an operation that never closes. See the governance framework in full →

Since 2010

Sixteen years building production systems, well before anyone called it agentic.

100+ people

A firm with a bench, not a two-person shop that disappears after launch.

US-based teams

No offshore delivery. The engineers who build it are the ones on your calls.

Your stack, your cloud

We build in your environment. Your data does not leave it.

How We Work

Bring us one workflow. We prove it pays, build it properly, control it so security signs off, and keep it running after everyone else has moved on.

Nobody buys ten agents. You buy one, it survives a peak, and the second one is an easier conversation.

RTS Labs engineers at work
Agent Directory

Agents for the Load, the Paperwork and the Payment

High-frequency, document-heavy, exception-heavy work where the rules are known and the volume is punishing. Filter by where in the cycle it sits.

Track is the load and its paperwork while it moves. Process is the calling, the chasing and the answering. Settle is getting paid correctly, proving it later, and pricing the next one.

Track

Shipment Visibility Agent

One question, every system answers. Track, trace, and ETA from a single interface.

Operations
Track

Document Processing Agent

BOLs, PODs, and rate cons read, extracted, and validated in seconds. Even the handwritten ones.

Back Office
Track

Dispatch Exception Agent

Delays and disruptions flagged, triaged, and routed before the customer calls.

Dispatch
Track

Yard & Terminal Agent

Trailers, docks, and moves orchestrated by signal, not clipboard.

Yard Operations
Process

Carrier Communication Agent

Check calls, appointment scheduling, and load updates handled by voice and text.

Carrier Relations
Process

Customer Service Copilot

Shipper questions answered from live shipment data with full context, in any channel.

Customer Service
Process

Compliance & Audit Agent

DOT files, insurance certs, and audit documents extracted and always inspection-ready.

Safety & Compliance
Settle

Invoice & Settlement Agent

Carrier settlement matched, reconciled, and disputed with evidence attached.

Finance
Settle

Capacity & Demand Forecasting

Tomorrow's volume predicted from today's signals, lanes priced accordingly.

Pricing & Capacity
Settle

Knowledge & SOP Search

Every SOP, tariff, and procedure answered in plain English with citations.

Enterprise / Frontline
So Which One First?

Three Sensible Places to Start

Not the biggest theoretical payoff. The ones where the workflow is bounded, the data already exists, and you can prove it inside a quarter.

Fastest proof

Document Processing

The one with the hardest number behind it. Paperwork arrives in the same shapes every day, and the before-and-after is obvious to anyone who has watched the retyping.

95% automated at Bennett →
Biggest daily win

Shipment Visibility

Every hour your team spends hunting across systems is an hour nobody is selling or solving. This is the one your customer service team will notice first.

90% less searching at Landstar →
Lowest risk

Knowledge & SOP Search

Read-only, answers from your own SOPs and tariffs, touches no load and no payment. The easiest first yes you will get from anyone who has to approve it.

Reads only, writes nothing →

Bring us the exception that eats the most hours and we will tell you straight whether an agent is the right answer for it.

Need to Go Deeper?

Fair Enough. The Longer Answers.

We already bought a visibility tool and nothing changed. Why is this different?

Because most visibility products give you another screen. The data lands somewhere new, and your team still opens the TMS, the portal and the text thread to answer one question, because the new screen does not have all three.

An agent works the other way round. It asks your systems the question a person would have asked, assembles the answer, and says where each part came from. The measurable difference is not data coverage, it is how many places somebody has to look. That is what the 90% at Landstar is counting.

That is the normal case, not the hard case, and it is why the accuracy bar gets set on your paperwork rather than on a clean sample. A vendor demo that works on a crisp PDF tells you nothing about a crumpled BOL photographed in a truck stop at night.

What matters is not average accuracy but knowing which documents the agent should not attempt. It flags what it cannot read and routes it, with everything it did manage to extract already attached, so the person finishing the job is not starting from scratch.

The agent degrades in a way people can see. It reports what it could not reach, works from what it has, and hands off cleanly rather than guessing. A silent failure at peak is worse than no agent, because dispatch stops trusting it and quietly goes back to phone calls, and you never get them back.

Cost behaves the same way. Per-workflow spend is metered and capped, so a volume spike does not turn into a surprise bill in the month you were busiest.

Yes, and the integration is usually the honest majority of the work. We have built against TMS platforms, telematics feeds, EDI, load boards, carrier portals with no real API, and the receivers whose process is still a scheduled file. The unglamorous plumbing is most of what a working agent actually is.

Read-only first, always. The agent reads your systems and writes to its own record. Writing back into the TMS is a separate conversation and it comes later, with gates.

Status writeback is the exception worth planning for early. If you owe a shipper 214s on a scorecard, an agent that knows a load is late and cannot update the TMS has only moved the work: you stopped searching and you are still keying. So we scope the 214 path in the first conversation rather than discovering it in month three.

Not unless you decide it should, and we would start by saying no. Tendering, releasing funds and committing to an appointment are money and relationship decisions. The agent prepares them, attaches the evidence and puts them in front of a person.

The value is in everything before that: the reading, the chasing, the matching and the assembling. That is where the hours go, and it carries none of the risk of an agent that spends money by itself.

Buy where a product already owns the category and the problem is generic. HappyRobot and FleetWorks for voice check calls, project44 for multi-carrier visibility data. If your problem is the same problem every carrier has, someone has already productised it and buying beats building.

Build where the work is shaped like your operation: the seams between your TMS and everything else, the documents in your formats, the settlement rules your customers negotiated, the SOPs only your dispatchers know. No vendor is going to build those for one carrier.

We will say buy when buying is right, including when the answer is that you do not need us for this one.

Probably not per document, and we would rather say so than lose the argument on your second call. A BPO seat is cheap, and it is elastic: you add seats for peak and stop paying in January. Software is a fixed cost that does not shrink when volume does.

So the comparison that matters is not price per document. It is cycle time and error cost. A POD you need today for a detention claim does not arrive on a twelve-hour timezone lag. An extraction that flags what it could not read does not quietly key the wrong rate. And the agent does not need retraining every January when the team turns over.

The number that decides it is what happens to the residual. Automate most of a queue and the exceptions remain, and if they land back at the BPO you have shrunk a contract that probably has a volume minimum, or they land on domestic staff at a much higher loaded cost per exception. We size that with you during the diagnostic, because it is the number that determines whether this is worth doing at all.

One of two things, and you should decide which before you buy, because they lead to different builds. Either the same team moves more freight, in which case the number to watch is loads per person per day and whether margin per load holds while it rises. Or the team gets smaller, in which case you need a role-level plan and an honest view of contract minimums and severance.

We will not promise you a headcount number on a website, and be careful of anyone who does before they have seen your volumes. What we will do in the diagnostic is measure the current cost of the workflow, model both paths on your actual numbers, and give you a figure your CFO can argue with.

Hours given back are not money until somebody decides what the hours are for. That decision is yours, and it is worth making before the build rather than after.

No, and nobody ever has. You take one workflow, it either gives hours back or it does not. The second conversation is much easier because the integration and the controls are already in place.

A fixed-fee diagnostic: two weeks, a clear verdict on the workflow, the integration surface mapped, and a build estimate you can take to your budget holder. Delivered as the Lumynate ROI Audit, from $30K, with half the fee crediting against the build.

For the build itself, first builds are fixed scope with a fixed ship date and typically land in the low-to-mid six figures, driven almost entirely by how many systems the agent has to touch.

If the verdict is that an agent is the wrong answer, you get that in writing, and the finding is usually worth more than the fee.

Every agent above is built on Lumynate, our system for building and operating agents: the method, the reusable component library, the guardrails, and the team that keeps it running after go-live.

Method
Library
Guard
Teams
Run

Bring Us the Exception That Eats the Most Hours

Thirty minutes, one workflow, and an honest answer about whether an agent belongs anywhere near it.

Or start with the two-week diagnostic if you already have a pilot that stalled.