Beyond the build: Customer experience in the AI era

Beyond the build: Why customer experience in AI infrastructure is about more than uptime

By Camilla O’Leary, Client Director, Hyperscale, atNorth 

For years, the data center industry has measured customer experience through uptime, resilience and service level agreements (SLAs). These remain fundamental. Customers expect infrastructure that performs reliably, and rightly so. 

But as AI workloads reshape digital infrastructure, customer expectations are changing. Today, success isn’t defined solely by keeping systems running. It’s about helping customers navigate an environment where technology evolves rapidly, deployment timelines are under pressure, and project requirements can shift long before infrastructure is live. 

In many ways, customer experience in AI infrastructure has become less about maintaining stability and more about managing continuous change. 

AI has changed the customer journey 

The rise of AI has fundamentally altered how infrastructure projects are planned. 

Historically, customers had a clear understanding of the hardware they planned to deploy before a project began. Today, the pace of AI hardware development means that requirements may continue to evolve well into the design and delivery process. At the same time, long procurement lead times mean customers are often required to secure capacity and progress infrastructure planning before the final hardware configuration is known. 

It’s not unusual for rack specifications to change significantly during the course of a project. A deployment initially designed around 200kW racks may ultimately require 227kW as hardware evolves. Those changes don’t simply affect the equipment itself; they have implications for electrical infrastructure, cooling systems, fluid dynamics and overall facility design. 

By the time construction is complete, the customer’s requirements may look very different from those originally planned. Flexibility has become just as important as technical capability. 

Customer experience starts long before deployment 

Supporting customers through this level of change requires more than operational excellence once infrastructure is live. It requires building trusted relationships early, bringing the right people together and creating enough flexibility to adapt as projects evolve. 

At atNorth, customer engagement begins well before deployment. While sales teams lead the early stages of the relationship through solution design and contract signing, customer success, operations and technical specialists become involved early to ensure every part of the organization is aligned around a successful delivery. 

Cross-functional steering groups oversee the teams responsible for design, engineering, operations and customer management, creating a single view of project progress and enabling decisions to be made quickly as customer requirements evolve. Rather than viewing handover as the beginning of the customer relationship, we see it as a milestone within a much longer partnership. 

One of our large customer implementations is a good example of this. During delivery, the customer’s fiber requirements evolved significantly, prompting us to bring several teams together – from Client Management, Design, and Implementation to Operations and Security and key external suppliers. Establishing regular governance and design reviews allowed us to assess impacts quickly, make fast decisions, and maintain momentum. This coordinated approach meant we could incorporate the customer’s changing requirements, while strengthening the customer relationship through transparent communication and aligned execution.  

Time to market has become a competitive advantage 

For most organizations deploying AI infrastructure, speed is business critical. Customers are planning product launches, recruiting specialist teams and coordinating complex deployment schedules months in advance. When requirements inevitably change, infrastructure providers need to adapt alongside them while keeping delivery on track. 

This is why transparency matters as much as execution. No complex infrastructure project is entirely immune from change. The difference lies in how those changes are managed and communicated. Open conversations, realistic planning and proactive communication help customers make informed decisions and adapt their own programs with confidence. 

Ultimately, customer experience is about helping customers navigate change confidently and successfully. 

Building partnerships, not transactions 

The conversations we’re having with customers have also evolved. 

Space, power availability and resilience remain essential considerations, but increasingly customers are asking broader questions. Can they expand as their AI requirements grow? Will their infrastructure partner support them across multiple sites? Can they recruit the right people locally? How will the project integrate into the surrounding community? 

These questions reflect a shift in mindset – one that extends beyond the walls of the data centre itself. Whether supporting local recruitment, building relationships with universities and STEM initiatives, or helping customers establish themselves within Nordic communities, successful infrastructure partnerships increasingly depend on understanding the wider ecosystem around each deployment. 

For example, when one atNorth customer established operations in Iceland, we supported them in recruiting local team members, drawing on our regional network and employer brand to help them build a long-term presence. Our partnership with Crusoe provides another example of how customer relationships can extend beyond infrastructure itself. Together, we launched a tree-planting initiative in Iceland to support the country’s 2030 Forest Initiative, with Crusoe committing to sponsor 65,000 trees over five years. It illustrates how infrastructure partnerships can create value not only for customers, but for the communities and environments in which they operate. 

Ultimately, the most successful infrastructure projects create value far beyond the data centre itself, benefiting customers, local communities and the wider regional economy alike. 

Beyond the SLA 

SLAs will always matter. Reliability remains the foundation on which every customer relationship is built. But in the AI era, reliability alone is no longer enough. 

The most successful infrastructure projects depend on flexibility, collaboration and the ability to respond as technology, customer priorities and market conditions evolve. They require organizations that can bring together engineering expertise, operational excellence and customer partnership into a single, coordinated approach. 

For me, that’s what customer experience means today. It doesn’t begin when infrastructure goes live, or even when a contract is signed. It starts much earlier, with open conversations, shared planning and a willingness to adapt as customer needs evolve. It’s shaped by every conversation, every decision and every adjustment made along the way. 

In today’s AI landscape, successful customer partnerships aren’t defined by certainty, but by collaboration, transparency and the ability to adapt together.