---
title: One Connected Intelligence for Enterprise Shippers | Loadsmart
description: How one connected intelligence for Enterprise Shippers lets AI agents handle freight exceptions, with experts on the rest.
image: https://blog.loadsmart.com/hubfs/Session%207%20-%20Sam%20and%20Paul%20Blog.png
---

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# Sightline 2027: One Connected Intelligence for Enterprise Shippers

 by [**Sarah Fidrych**](https://blog.loadsmart.com/author/sarah-fidrych)

**Key Takeaways**

- Sightline 2027's closing session followed one load through Loadsmart AI.
- Paul and Sam showed AI agents handling tracking, scheduling, and invoices.
- Connected AI agents could take potentially 80% of exceptions off your team.
- Pick one workflow to reimagine and see Loadsmart AI on your freight first.

A truck stops sending tracking updates partway through a run from Atlanta to Louisville. On most freight teams, that sets off a chain of manual work: a call to the carrier, a new appointment at the receiving dock, an update to the TMS, and later a check that the invoice matches what actually happened.

At Sightline 2027, held at our Chicago headquarters on September 16th, 2026, the closing session showed what that chain looks like when AI agents run it. Paul Rehmet, VP of Product, and Sam Belt, Director of Strategic Solutions, followed one load from order to payment as [ShipperGuide TMS](https://shipperguide.com/?utm_source=loadsmart&utm_medium=cta&utm_campaign=post-sightline-recap-sessions-loadsmart-shipperguide-q4-26&utm_content=one-connected-intelligence), [Opendock](https://opendock.com/en/products/dock-scheduling/?utm_source=loadsmart&utm_medium=cta&utm_campaign=post-sightline-recap-sessions-loadsmart-opendock-q4-26&utm_content=one-connected-intelligence), and Loadsmart AI worked as one connected intelligence. Sam then called an AI agent live, playing a carrier who needed to move an appointment. The full recording is below.

## **What Is One Connected Intelligence?**

One connected intelligence is Loadsmart's term for an AI layer that links network-level orchestration, like a TMS, with site-level execution tools, like dock scheduling. Earlier sessions covered each half on its own: ShipperGuide TMS for planning and executing loads, and Opendock for dock and yard management.

> Real efficiency gains come in when you're able to connect your network level orchestration with your site level execution tools, and they can act as one connected intelligence.

![Paul Rehmet](https://blog.loadsmart.com/hs-fs/hubfs/Paul%20Rehmet.png?width=616&height=626&name=Paul%20Rehmet.png)

Paul Rehmet

VP of Product, Loadsmart

In practice, a delay on the road reaches the destination facility in time to move the appointment, and the signed BOL (bill of lading) is stored in your system of record automatically.

## **How Is the Connected Intelligence Model Built?**

The model rests on two design choices: it's system agnostic, and it keeps a human in the loop. AI agents can be built on top of the ERPs (enterprise resource planning systems), TMSs, and WMSs (warehouse management systems) a shipper already runs, without swapping systems out.

By Paul's estimate, AI agents could take over potentially 80% or 90% of exceptions. Loadsmart is wiring its freight services division into the platform to handle the rest, or shippers can keep that work in-house, so tasks get 100% done.

![Sightline 2027 - September 2026-292](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027%20-%20September%202026-292.jpg?width=6000&height=4000&name=Sightline%202027%20-%20September%202026-292.jpg)

![Sightline 2027 - September 2026-302](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027%20-%20September%202026-302.jpg?width=6000&height=4000&name=Sightline%202027%20-%20September%202026-302.jpg)

![Sightline 2027 - September 2026-289](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027%20-%20September%202026-289.jpg?width=3744&height=2496&name=Sightline%202027%20-%20September%202026-289.jpg)

![What happened in Chicago - photo 05](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027/Photos%20from%20the%20day/What%20happened%20in%20Chicago%20-%20photo%2005.jpg?width=5362&height=3575&name=What%20happened%20in%20Chicago%20-%20photo%2005.jpg)

![Sightline 2027 - September 2026-293](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027%20-%20September%202026-293.jpg?width=5641&height=3761&name=Sightline%202027%20-%20September%202026-293.jpg)

![Sightline 2027 - September 2026-292](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027%20-%20September%202026-292.jpg?width=6000&height=4000&name=Sightline%202027%20-%20September%202026-292.jpg)

![Sightline 2027 - September 2026-302](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027%20-%20September%202026-302.jpg?width=6000&height=4000&name=Sightline%202027%20-%20September%202026-302.jpg)

![Sightline 2027 - September 2026-289](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027%20-%20September%202026-289.jpg?width=3744&height=2496&name=Sightline%202027%20-%20September%202026-289.jpg)

![What happened in Chicago - photo 05](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027/Photos%20from%20the%20day/What%20happened%20in%20Chicago%20-%20photo%2005.jpg?width=5362&height=3575&name=What%20happened%20in%20Chicago%20-%20photo%2005.jpg)

![Sightline 2027 - September 2026-293](https://blog.loadsmart.com/hs-fs/hubfs/Sightline%202027%20-%20September%202026-293.jpg?width=5641&height=3761&name=Sightline%202027%20-%20September%202026-293.jpg)

## **What Does the Life of a Load Look Like With Loadsmart AI?**

Paul walked through one example load, a full truckload from Atlanta to Louisville that starts as an ERP order, in three acts and a final step.

- **Act one, tendering and scheduling:** The primary carrier accepts the tender at the target rate, and its TMS books both dock appointments at warehouses running Opendock through APIs (application programming interfaces) or MCPs (Model Context Protocol, a standard way for AI systems to connect to other software) within minutes.
- **Act two, execution:** The truck picks up in Atlanta, sending tracking updates every 15 minutes with a 5 p.m. ETA.
- **Act three, the exception:** The updates stop for 45 minutes, and the last ping suggests the truck will miss its appointment. An AI agent calls the carrier, gets a new ETA, and moves the delivery to 6 p.m. If the AI agent can't resolve it, a Loadsmart freight expert steps in.
- **Settlement:** At delivery, the eBOL (electronic bill of lading) is signed, and the carrier's invoice is audited against expected charges before it's approved for payment.

Every action is logged, so your team can see which exceptions were handled and by whom.

## **How Do AI Agents Work Together Across the Life Cycle of a Shipment?**

They share a high-level orchestration layer, so one AI agent can check another's work. Sam opened with a video that followed the entire life cycle of a shipment. In one scene, a carrier invoice arrives with a detention charge, and the invoice AI agent checks with the POD (proof of delivery) AI agent. The POD timestamps don't match the detention, so the claim is denied.

The video also showed:

- A negotiation AI agent comparing a carrier's price with market rates and negotiating on the shipper's behalf
- OCR (optical character recognition) AI agents reading PODs and pushing that information back into the system

## **What Happened When a Carrier Called the AI Agent?**

The AI agent moved the delivery and lined up a reload before the call ended. For the live demo, Sam reversed Paul's example and called in as a carrier, asking to push back his driver's 1 p.m. delivery.

The AI agent asked for the load and PO numbers and offered two later slots. Sam took 3:30 p.m. Because his company was an approved carrier for the facility, the AI agent also offered a reload to Miami at a $2,200 book-it-now rate. Sam asked for $3,000. The AI agent logged the counteroffer, held at $2,200, and sent the rate confirmation when he accepted.

Sam put the reload in cost terms: in the scenario, the market rate on that load was $2,500.

Loading presentation…

–/–

## **How Should Enterprise Shippers Think About AI Agents?**

Enterprise shippers should manage AI agents the way they manage employees, with a defined job and clear guardrails, according to Sam Belt, Director of Strategic Solutions at Loadsmart.

> When you think about these agents, they're absolutely your employee. You give them the guardrails, you give them their job, and they don't go outside of it.

![Sam Belt](https://blog.loadsmart.com/hs-fs/hubfs/Sam%20Belt.png?width=620&height=626&name=Sam%20Belt.png)

Sam Belt

Director of Strategic Solutions, Loadsmart

Anything outside those guardrails goes to a person through Slack, text, or another channel. The setup is completely omni-channel, covering inbound and outbound calls, text, and internal requests. The hardest part, Sam said, is imagining the new workflow, which Loadsmart wants to scope with shippers.

## **Where Does Loadsmart AI Fit?**

[Loadsmart AI](https://loadsmart.com/ai/) has six AI agents available today:

- [Tender failures and re-tendering](https://loadsmart.com/ai/tender-failures/)
- [Tracking and status updates](https://loadsmart.com/ai/tracking-and-status-updates/)
- [Document collection and filing](https://loadsmart.com/ai/document-collection-and-filing/)
- [Scheduling and re-scheduling](https://loadsmart.com/ai/scheduling-and-re-scheduling/)
- [Claims processing](https://loadsmart.com/ai/claims-processing/)
- [Proactive load audits](https://loadsmart.com/ai/proactive-load-audits/)

For workflows outside these six, our team can scope building a custom AI agent for your team.

Loadsmart is offering three ways to see Loadsmart AI in action on your freight first:

1. A personalized demo built on your highest-impact workflow, running on your freight
2. A one-day onsite workshop, where we come to you
3. A proof of concept working on your data

AI runs your freight, and our experts handle the exceptions.

## **Where Should Enterprise Shippers Start?**

Start with one workflow your team repeats every day and map how it would run with AI agents. Paul's session built on the opening keynote from Felipe Capella, Chief Executive Officer of Loadsmart. For more, read [Sightline 2027: The Freight Operation of 2030 for Enterprise Shippers](https://blog.loadsmart.com/sightline-2027-freight-operation-of-2030).

Every Sightline 2027 session is on the [Sightline 2027 hub](https://sightline.loadsmart.com/), where you can also request the personalized demo, onsite workshop, and proof of concept.

[![Click here to learn more about Loadsmart](https://blog.loadsmart.com/hs-fs/hubfs/loadsmart-blog-cta-1200x475.png?width=1200&height=475&name=loadsmart-blog-cta-1200x475.png)](https://loadsmart.com/contact/#contact-form)

## **Frequently Asked Questions**

### What is connected intelligence in freight?

**Connected intelligence is an AI layer that links network-level orchestration, like a TMS, with site-level execution tools, like dock scheduling.** At Sightline 2027, Paul Rehmet, VP of Product at Loadsmart, described it as the layer Loadsmart AI adds on top of ShipperGuide, Opendock, and a shipper's systems of record.

### Do AI agents replace your freight team?

**No, Loadsmart AI keeps a human in the loop for the exceptions AI agents can't solve.** Those go to Loadsmart Freight Services or your own team, and every action is logged in your system of record.

### How can Enterprise Shippers start using Loadsmart AI?

**Start with one workflow and see Loadsmart AI in action on your own freight.** Loadsmart offers a personalized demo, a one-day onsite workshop, and a proof of concept on your own data.

Topics: [Sightline 2027](https://blog.loadsmart.com/tag/sightline-2027)

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#### About Loadsmart

Loadsmart is on a mission to transform the future of freight.   
We combine cutting edge technology with deep industry expertise to fundamentally change how freight is priced, booked and shipped.

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