LNG infrastructure may not be the first industry you associate with AI transformation. But for Excelerate Energy, that’s the opportunity. 

Headquartered in The Woodlands, Texas, and listed on the NYSE, Excelerate operates LNG and natural gas infrastructure around the world. It’s a complex, capital-intensive business where safety, reliability, speed, and execution matter every day. 

Excelerate’s leadership recognized early that access to AI would not be enough to create an advantage. Competitors could buy the same tools. The difference would come from how effectively people put them to work, how quickly stronger ways of working emerged, and whether those gains could spread across the business. 

That’s what led Excelerate to partner with PAIR: to turn AI investment into a structured approach to adoption, building capability around real work, giving leaders visibility into how adoption was developing, and creating a way to identify and scale what worked across the business. 

The challenge: when AI access stops being an advantage 

When PAIR first started working with Excelerate, 28% of the team were using Copilot consistently. 

Increasing usage mattered, but Excelerate understood that usage alone was a weak measure of success. It showed whether people were engaging with Copilot, not whether they were using it well, changing how they worked, or creating measurable value. 

Excelerate needed people to recognize where AI could genuinely improve their work, apply it confidently in their own roles, and build on the approaches that proved valuable. 

The harder challenge was making that happen across the organization. Individual breakthroughs were useful, but they would only become strategically valuable if stronger ways of working could spread; leaders could see where capability was developing, and adoption could keep evolving as the technology changed. 

For Excelerate, the question was becoming less about whether people had access to AI and more about whether that access was changing how the business worked. 

Building the capability to turn AI into better work 

Excelerate’s rollout with PAIR started with visible senior backing. Scott Platz, Executive Vice President Operations, and Cameron Wilmer, Lead Engineer - Operational Performance, have been central to the company’s AI adoption, translating leadership ambition into practical action and keeping the focus on how AI could improve the work itself. 

In May 2026, PAIR joined Excelerate’s C-suite for an AI town hall focused on how quickly the market was moving, how other organizations were approaching adoption, and what was beginning to separate companies experimenting with AI from those starting to turn it into an operating advantage. 

From there, the focus moved into employees’ day-to-day work. 

PAIR’s Hands-on AI Masterclass helped people apply Copilot to the tasks, workflows, and priorities already part of their roles, closing the “imagination gap” between knowing what AI can do and seeing where it could genuinely improve their own work. 

As AI becomes more agentic, that foundation becomes even more important. Employees are moving beyond how to prompt a tool and beginning to think about what work to delegate, what needs reviewing, where human judgment still matters, and where entire workflows could be redesigned around what AI can now do. 

The results: better work, more time, stronger adoption 

When PAIR first started working with Excelerate, 28% of the team were using Copilot consistently. Today, 77% meet Excelerate’s benchmark for high Copilot usage. 

That increase is an encouraging sign that adoption is taking hold. But Excelerate has been clear from the start that usage alone is not enough. 

The stronger evidence is what people are getting from it. Participants report saving an average of more than 2.8 hours each week, equivalent to around three working weeks a year. Around 96% say the quality of their work has improved, while 86% say their work has become more fulfilling. 

One of the clearest examples of AI improving both speed and quality comes from Excelerate’s board reporting. Copilot now helps cross-check 70–80 slide decks, testing figures and variance explanations across multiple scenarios before they reach senior leaders. The result is roughly a day of team time saved and fewer errors in some of the company’s most important materials. 

Together, those results point to a deeper change than simply using Copilot more often. People are reporting better work, meaningful time savings, and less friction in how that work gets done. 

For Excelerate, that starts to validate the thesis behind the rollout. Competitors can buy the same AI tools. What they can’t simply buy is a workforce that knows where AI can improve the work, has the judgment to use it effectively, and continues finding better ways to apply it as the technology changes. 

“Rolling out Copilot gave our people access to AI, but access alone was never the goal. PAIR is helping us build practical capability across the business, give leaders visibility into where adoption is progressing, and create a clearer path for identifying and scaling the workflows that deliver real value.” 

Cameron Wilmer 
Lead Engineer - Operational Performance, Excelerate Energy 

Turning AI adoption into an advantage that compounds 

The next step is making sure the strongest ideas do not stay inside individual teams. 

A useful workflow, agent, or use case might begin with one person. With PAIR, Excelerate is building a repeatable way to surface those ideas, understand which are creating value, govern them appropriately, and scale the strongest across the organization. 

That also gives leaders a clearer picture of AI capability at both the individual and team level. The question starts to move beyond “Who has a license?” toward “Who has the capability to use AI well, what is working, and where should we invest next?” 

Over time, that evidence could help Excelerate make more targeted decisions about licenses, tools, and token spend, directing AI investment toward the areas where capability is strongest and business value is being proven.

And because the technology keeps changing, the cycle continues. With PAIR, Excelerate can keep developing capability, surface new ways of working, scale what proves valuable, and adapt as AI tools, governance requirements, and business needs evolve. 

That’s where Excelerate’s competitive advantage starts to compound: not from having access to AI that others don’t, but from building an organization that can continuously turn advances in AI into better ways of working and stronger performance. 

Make AI adoption a source of competitive advantage 

PAIR helps organizations build capability around real work, surface what’s creating value, scale the strongest ways of working, and give leaders the evidence to invest with confidence.