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Day 3 at Jump Start 2026: Leaning on trust and readiness in an automated future

During the final session of SMC3’s Jump Start 2026, a speaker offered a fitting piece of wisdom from a past mentor: “If you don’t know where you’re going, any road will take you there.”

In an industry defined by constant change and competing pressures, the third and final day of Jump Start provided an opportunity for attendees to compare notes, test assumptions, and reorient before moving forward down an uncertain road.

As the conference concluded, speakers returned to three interlocking concerns: Trust has become harder to earn and easier to lose as risk and fraud remain constant pressures; AI and automation are reshaping how decisions are made, even as accountability stays firmly human; and readiness—across data, systems, and people—now determines whether new tools strengthen operations or expose their weaknesses.

Trust as an operating requirement

The opening session framed trust as an operational discipline rather than a cultural value. Panelists described a market shaped by volatility, fraud, and fragmented accountability, where credibility now depends on transparency and shared responsibility.

Viewing relationships through short-term transactions no longer holds up under pressure. As Jason Gullick, director of transportation management at Ryan Transportation put it, “We have to view relationships through a 10-year lens.”

That perspective forces a different set of decisions, particularly when conditions shift quickly. Gullick went on to describe what that looks like in the relationship itself: “For us, it’s really about being an open book, putting ourselves in the boat with our shippers so that way we’re rowing together, all in the same direction.”

Data breadth plays a similar role. Trust increasingly depends on understanding forces that sit outside traditional transportation systems.

Stephanie Bixler, CTO and head of Synapsum at eShipping, pointed out the need for deeper integration, noting, “We need to look beyond just the data we have today that runs through our systems and actually reach into our shippers’ data.”

With visibility into inventory placement and product strategy, providers can advise on upstream decisions that shape freight outcomes and move closer to a true consulting—a role that Bixler admits was not something 3PLs may have entertained previously.

Dave Kiesling, group VP of Kenco Group, described this role expansion further, explaining, “Now it’s as important to be the advocate for the carrier when you’re speaking with the shipper.”

Persistent fraud in the truckload space sharpened the stakes further. In some cases, credibility outweighs margin entirely. Kiesling described choosing LTL partners for certain full truckload moves because verification standards mattered more than economics. “We don’t make money on those loads,” he said. “But what we do know is we just got a $500,000 load delivered.”

In that environment, trust becomes less about price and more about certainty.

Autonomous decisioning with governance

The day’s next session centered the discussion around what happens as AI systems move steadily from experimentation to execution. Across the discussion, panelists emphasized that this shift is well underway.

Daniel Curling, CTO at WWEX Group, described the change in scope: “It’s easy to see these autonomous systems shifting from providing lots of insights into more execution and decision making.” Pricing adjustments, carrier selection, and exception handling now occur at a level of speed that manual workflows cannot match.

Those uses cases sit close to service and margin. They also force governance questions early.

Scott Sullivan, CIO at Pitt OHIO, grounded the discussion in a workflow many teams recognize.

His group built an AI agent that reads inbound pickup request emails and translates unstructured requests into structured entries inside an internal system. The value sits in speed and consistency, but the path to value ran through adoption and confidence. “It took about a year to get to that point where people were comfortable,” Sullivan said.

Sullivan also drew a boundary around autonomy during fast-moving disruptions. “AI is not going to tell me what terminals I can run today,” he said. “That’s still going to be a human decision.”

Weather events and local constraints can change by the hour, and carriers still need experienced people making calls in real time.

Sullivan’s quote points to a core leadership task: Decide which decisions machines can make, decide which decisions humans will retain, and design escalation paths that protect service when conditions shift.

Readiness, data quality, and the willingness to adapt

The final session of Jump Start 2026 pulled the week into focus, translating themes into takeaways. Panelists returned to AI repeatedly, but they framed it as a capability that will soon fade into the operational baseline.

That shift stood out across the event at large. As Victoria Kickham, senior editor at DC Velocity observed, “The thread of AI and technology and automation running through the conference really struck me,” particularly when paired with, “the importance of maintaining the human element.”

Practical application, not abstraction, of the year’s hot-button ideas was the throughline of the concluding session.

Debra Phillips of The American Journal of Transportation returned to a phrase heard repeatedly throughout the week. “AI is not magic,” she said. “These are not pie in the sky [ideas]. This is what carriers and others are using AI for today.”

Readiness surfaced as the central constraint. Clean data, defined processes, and organizational discipline determine whether automation amplifies progress or exposes fragility.

One panelist summarized it bluntly: “If your house isn’t in order, you won’t be rising with all the other people who are deploying AI.”

Learning, rather than scale, defined preparedness. Speakers encouraged experimentation and curiosity as a way to build familiarity and confidence. “Play with it, experiment,” one advised.

Parallels to earlier technology shifts reinforced this message and served as a clarion call to attendees. As Cathy Roberson of Logistics Trends & Insights explained, resistance to cloud computing and digital platforms did not slow down adoption—it removed those unwilling to adapt.

Jump Start 2026 comes to a close

Day 3 closed the conference on disciplines rather than a single headline. Trust supports transparency and shared action across partners. Automation creates speed and efficiency, then demands governance. Readiness performance steady when conditions change.

The final bell may have rung for Jump Start 2026, but the conversation continues this summer at SMC3’s Connections. We hope to see you there!

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