AI for freight brokers and logistics teams, built around your TMS.
Freight brokers lose hours every day to inbox triage, rekeying loads and chasing carriers for status. We automate seven of those workflows with AI agents and workflow automation that plug into your TMS, email and EDI feeds, with a person approving anything that moves money.
Book a scoping call →Where brokerage time actually goes
In a brokerage or a 3PL back office, most of the day is not negotiation. It is reading emails that contain loads, copying addresses and weights into a TMS, asking carriers where a truck is, building a rate confirmation, and matching a proof of delivery to an invoice. Each of these tasks is small, repetitive and tied to a document that arrives in a messy format. That combination is where language models and workflow automation help most: they read unstructured input, extract the fields, call the systems you already use and hand a clean record to a person for approval. We do not replace your dispatchers or your TMS. We remove the rekeying around them, so the same team can handle more loads and respond faster to the ones that go wrong.
Seven workflows worth automating first
The table below lists the seven workflows we scope most often for freight brokers and logistics teams. Not every company needs all of them. In a readiness sprint we rank them by volume, error cost and how clean your data is, then pick the one or two that pay back first. Each workflow keeps a human approval step wherever a mistake would cost money or damage a relationship with a shipper or carrier.
| Workflow | What happens today | What we automate | Where a person approves |
|---|---|---|---|
| Load intake | Loads arrive by email, PDF or portal and are rekeyed into the TMS | An agent reads the message, extracts origin, destination, dates, equipment and weight, and creates a draft load | Dispatcher confirms the draft before it is booked |
| Quoting | A rep looks up lanes and past rates, then writes a reply | Pulls lane history and your pricing rules, drafts the quote and the reply email | Rep approves price and sends |
| Carrier onboarding | Packets, W-9s, insurance certificates and authority checks chased by email | Collects documents, checks that fields are present and expiry dates are valid, and flags gaps | Compliance person approves the carrier |
| Track and trace updates | Staff call or message drivers and carriers for status, then update shippers | Collects status from carrier messages and tracking feeds and sends scheduled updates to shippers | Staff step in only on late or missing check calls |
| Invoicing and POD | Proof of delivery is matched to the load and invoice by hand | Matches POD documents to loads, assembles the invoice package and queues it | Billing approves before it goes to the customer |
| Rate confirmations | Rate cons are built in a template and sent for signature | Generates the document from the booked load, sends it and tracks the signature | Dispatcher reviews exceptions only |
| Exception alerts | Problems are found when a customer calls | Watches loads for delays, missed appointments and document gaps and alerts the right person with context | The assigned rep decides the response |
Integrations: TMS, email and EDI
Automation only works if it lives inside the systems your team already uses. For a TMS, we integrate through its API or webhooks when they exist, and through scheduled exports, email handoffs or a lightweight review screen when they do not. Email is usually the largest input channel, so we connect to shared inboxes with the access you grant, classify messages and attach the extracted data to the right load. For EDI, we work with your existing provider or VAN and treat the feed as one more structured input: we parse the transaction sets you already receive, map them to your records and raise an alert when something fails validation. We do not claim a prebuilt connector for every platform. During the readiness sprint we check what your systems expose, document it and tell you what the integration will take before you commit to a build.
- TMS: API or webhook where available, scheduled exports or a review screen where not
- Email: shared inboxes, classification, attachment parsing and threaded replies
- EDI: parse and validate the transaction sets you already receive through your provider
- Messaging and phone: carrier updates by SMS, email or WhatsApp where your carriers use it
Workflow automation or AI agent: which fits
Some of these workflows are deterministic. Generating a rate confirmation from a booked load, or sending a scheduled status update, follows fixed rules, so we build them as plain workflow automation, which is cheaper to run and easy to audit. Others involve unstructured input and judgment, such as reading a messy load email or drafting a quote reply, and those are where an AI agent earns its place. We connect the two: workflows handle the steps that never change, and agents handle the reading and drafting, with evaluations run against real examples from your inbox before anything goes live. Where an agent is unsure, it routes the item to a person with the reason, rather than guessing.
How an engagement runs and what it costs
We usually start with an AI Readiness Sprint, from $4,500, which ranks the workflows above against your volume and data and ends with a fixed scope. A single production workflow automation then starts at $8,000 per workflow, and an AI agent for something like load intake or quoting starts at $18,000. Operating the system after launch is optional: AgentOps starts at $1,500 per month and covers monitoring, evaluations and improvements. These are starting prices, not quotes, and the final number depends on your TMS, your data quality and how many exceptions the workflow has to handle. We have automated back-office workflows for an anonymized logistics client, and we are happy to talk through what carried over and what did not. Contracts and invoicing are in USD through Cloudsoft Industries LLC (Delaware), clients own 100% of the code and IP once each milestone is paid, and the code lives in your repositories from day one.
What we do not promise
We do not promise a fixed percentage of time saved before we have seen your data, and we do not publish metrics we cannot show you. We also do not replace the judgment calls that make a broker valuable: pricing a difficult lane, handling a shipper who is upset, choosing between two carriers. The goal is narrower and more honest. Take the reading, rekeying and chasing off your team, keep humans on every decision that carries risk, and give you logs so you can see what the system did and why.
Frequently asked questions
Can AI replace dispatchers or brokers?
No. It handles the reading, rekeying and status chasing around the work. Pricing decisions, carrier selection and customer relationships stay with your people, and the system keeps a person in the approval step wherever money or a relationship is at stake.
Do you integrate with my TMS?
We integrate through the API or webhooks when your TMS exposes them, and through exports, email handoffs or a review screen when it does not. We check what your system supports during the readiness sprint, before you commit to a build.
What does it cost to automate one freight workflow?
A production workflow automation starts at $8,000 per workflow, an AI agent starts at $18,000, and the AI Readiness Sprint that ranks workflows starts at $4,500. The final price depends on your systems and exception volume.
How do you handle EDI?
We work with your existing EDI provider, parse the transaction sets you already receive, map them to your records and alert on validation failures. We do not replace your EDI setup.
Who owns the automations and the code?
You do. Clients own 100% of the code and IP once each milestone is paid, and the code lives in your repositories from day one.