Don’t Miss Construction Equipment’s Conexpo Panel on AI in Fleet Management

If you manage equipment, you already live in a sea of data. Fault codes, inspections, work orders, fuel burn, idle time, utilization charts. It’s a lot of information. It’s just not enough answers. That’s why we’re bringing three sharp perspectives to Conexpo 2026 for a panel on how AI will change equipment management — and how it can turn dashboards into decisions in a practical way. We will not daydream about fully autonomous jobsites. We will talk about what AI can do for uptime, cost control, safety, maintenance planning, utilization, and operator support. 

Event details you can screenshot

Our panel runs Thursday, March 5, 2026, at 10:30 a.m. We’ll host it at Booth GL20803, in the Grand Lobby between Central and North Halls. This session is built for fleet managers and equipment operators. If you manage iron, run iron, wrench on iron, or schedule iron, please stop by.

Who’s on stage?

We picked three panelists who live in different parts of the same problem.

Craig Gramlich, Lonewolf Consulting, brings the fleet reality check. He thinks in field problems, shop constraints, and finance truths. Those worlds can battle each other. He works on getting them aligned.

Jose Cueva, cofounder and chief product officer at Tenna, brings the telematics and tech perspective. Tenna plays in mixed fleet telematics, dispatch coordination, maintenance workflows, and safety tech like AI dashcams.

Brent Steffen, vice president of Cat Digital Product Management at Caterpillar, brings the OEM digital view. Cat keeps pushing deeper into connected fleet tools, and it has been talking publicly about AI assistants and edge intelligence.

What we’ll cover in plain language

AI already sits inside tools many fleets use today. Most people just don’t call it AI. That’s changing fast, and the shift will hit equipment management as much as the machines. One of AI’s biggest values is turning lots of data into actionable insights. That could mean scheduling the right service at the right time. It could mean flagging a pattern before failure. It could mean helping an operator avoid bad habits that burn fuel, wear out tracks, and annoy the foreman. We’ll also talk implementation. Nobody puts that on the banner, but it determines success. 

The big shift: from dashboards to decisions

Fleet management has a volume problem. You already collect more data than you can act on. A platform can show you 20 charts, and you still won’t know what to do next. AI should shrink that gap. In this panel, we’ll dig into where AI can actually reduce decision time. We’ll talk about what those guardrails look like in the real world, especially in mixed fleets and multi-site operations. Panelists will discuss predictive maintenance. AI can connect dots across sources — hours, fault codes, inspections, oil analysis, operator notes, and beyond. Operators will feel AI in safety and coaching. Some fleets already use camera-based systems that detect risky behavior or jobsite hazards. OEMs can provide operator-focused insights around idle time, operating techniques, and machine protection behaviors. There’s so much to talk about! 

Meet us in the Grand Lobby

• How AI will change equipment management
• Thursday, March 5, 2026 | 10:30 a.m.
• Booth GL20803 | Grand Lobby between Central and North Halls