Automate Carrier Onboarding and Compliance Checks with a Custom AI Agent

Many small logistics companies rely on their TMS's built-in carrier module or third-party services like MyCarrierPackets. These tools act as digital filing cabinets but struggle with active validation. A standard TMS module can store an insurance expiration date but cannot read that date from a PDF; a human must find it and type it in. This creates a constant risk of data entry error.

Consider a 15-person freight brokerage onboarding a new carrier. The compliance manager receives a PDF packet with an insurance certificate, W-9, and operating authority. They must manually check the MC number on the FMCSA SAFER website, verify the insurance limits on the PDF meet their $1,000,000 minimum, and then type all of this information into their TMS. This is 20 minutes of repetitive work for every single carrier, assuming the documents are standard and there are no typos.

The structural problem is that off-the-shelf tools separate document storage from data validation. They cannot apply your specific business logic (e.g., "reject carriers with a conditional safety rating") to the contents of an unstructured document like an insurance certificate. A human has to act as the bridge, reading the document and applying the rules. This manual bridge is slow, expensive, and a single point of failure for your compliance process.

The engagement would start by auditing your current carrier onboarding process. Syntora would map every step, from how you receive carrier packets to how a carrier is activated in your TMS. We'd identify the specific documents you collect and the key data points you need to validate from each, forming a blueprint for the automation.

The core of the system would be an AI agent built using the Claude API for document parsing, connected to a FastAPI service. When a new carrier packet arrives, the service sends the documents to the Claude API to extract fields like insurance limits, expiration dates, and MC numbers. That structured data is then validated against external sources like the FMCSA SAFER API. The entire workflow runs on AWS Lambda, keeping hosting costs under $50/month for typical SMB volumes.

The final system posts the validated data directly into your TMS via its API, creating a new carrier profile in under 60 seconds. Any exceptions, like low insurance coverage or an inactive authority, trigger an email alert for human review. You receive the full Python source code, a runbook for managing the system, and direct integration with your existing tools.