The double-edged sword of delivering greater efficiency across increasingly complex environments, while maintaining exceptional quality and performance, has become a crucial challenge for data center operators navigating today’s high-stakes, fast-paced, and constantly shifting AI-driven landscape. Accelerating speed to market is essential – but moving faster cannot come at the expense of reliability, safety, or long-term operational success.

A clean-cut strategy balancing rapid delivery and operational rigor requires a combination of skilled people, strong processes, and increasingly sophisticated digital tools that help optimize performance and decision-making at scale.

For companies such as BGIS – an organization with roots in engineering and deep experience across commissioning, controls, and mechanical and electrical infrastructure – this notion is guiding how its teams guide and support operators navigating this new environment.

“We’re built on an engineering company, so we’re technically led,” says Brandon Beers, senior director of operations at BGIS. “Engineering is where we planted our roots and where our culture found its foundations. That background shapes everything from our values to how we interact with customers and support them operationally.”

With expertise spanning commissioning, controls monitoring, mechanical and electrical systems, capacity planning, and the white space that underpins data center operations, BGIS combines root-cause analysis, risk-based decision frameworks, and digital insight with a strong people-first culture.

As demand for both speed and quality continues to rise, Beers explains how the company enables operators to strike decisively against operational challenges, driving greater efficiency, agility, and long-term success while leading by example.

Cutting through the noise of AI

“You can’t go a day without hearing about AI in some form,” says Beers. “It’s a huge opportunity, but it’s also the greatest challenge we’re facing as an industry – simply because of the scale of growth and demand.”

Within this rapidly evolving AI-driven landscape sits a complex web of interconnected pressures. Beers highlights four key hurdles shaping the industry today: power availability, the shortage of skilled labor, supply chain constraints, and the ongoing challenge of balancing speed with rigor.

Power availability has quickly become one of the most significant constraints on data center development. High-density, energy-intensive modern workloads are forcing operators to rethink how and where facilities are built. Site location, infrastructure investments, and design considerations are all being shaped by access to reliable, scalable power.

At the same time, the dramatic technological expansion driving this demand is powered – quite literally – by people. And it’s not just about numbers.

Securing enough skilled professionals across mechanical, electrical, IT, and construction disciplines is becoming increasingly difficult as the workforce ages and industry growth accelerates. Bridging this gap with the next generation of talent is now mission-critical to maintaining the pace of global data center expansion.

Supply chain volatility adds another layer of tension. Critical components – from transformers and switchgear to cooling systems and specialized IT hardware – can face months or even years in lead times.

This reality reflects the dual pressures of increasing deployment speed and growing specialization. As legacy technologies become less suitable for next-generation workloads, the scale of transformation across the data center ecosystem is stretching supply chains to their limits. Crucially, addressing these key hurdles at speed and scale must be achieved with quality control at the fore.

Mitigating risk with people first

At the operational level, this balance means empowering teams to safely accelerate ramp-up times from commissioning to full operation, while precisely following procedures, standards, and safety requirements in critical environments.

“Achieving all of this together is something clients are incredibly focused on – and rightly so, because it directly impacts performance,” says Beers. “Central to meeting this demand is real-time operational transparency.”

Clear operational visibility achieved via performance reporting, system health monitoring, and consistent processes enables teams to make informed decisions across entire facility portfolios. Combining engineering expertise with disciplined operations ensures that decisions are data-driven and applied consistently across buildings, campuses, and global networks.

For BGIS, delivering this level of reliability begins with people: “Our culture is built on investment in people and safety, because that’s what drives performance,” explains Beers. “Beyond simply having the right individuals to support clients, we prioritize doing so in the safest way possible, in the right manner, and at the optimal time – without adding risk to themselves or to critical equipment.”

Putting this philosophy into practice, BGIS has developed structured talent pathways designed to attract individuals into the industry and guide them through long-term careers. “It’s about transferring technical expertise to a whole new generation that will lead us into the future,” adds Beers.

This people-first approach extends beyond workforce development. With today’s demands for always-on operations, safety and reliability are inseparable. Mitigating risk to workers also reduces the likelihood of downtime caused by human error or equipment damage.

“We manage risk in both the physical and the electronic environment,” says Beers. “But both come back to following rigorous, proven standards around training and safety first.”

This culture is reinforced continuously across the organization: “Across safety, training, and procedure, everything is extremely regimented and very detailed,” continues Beers. “We don’t deviate from those proven standards, because that’s what helps mitigate risk. Human behavior is a common cause of outages, so building strong processes and culture around that is critical.”

The digital side of efficiency

With people-first principles firmly established, the second pillar supporting efficient and reliable operations is digital optimization. Data analytics, predictive modeling, and advanced monitoring tools are increasingly central to managing risk, accelerating deployment, and streamlining decision-making in complex environments.

“For example, we use Cormant systems designed to monitor and assess the white space – delivering predictive analytics around efficiency, real-time capacity data, and visibility into where equipment can be deployed from the server standpoint,” explains Beers.

In today’s high-stakes digital economy, predictive analysis has quickly become an operational necessity. Even brief outages can trigger significant financial and reputational consequences. Anticipating potential problems before they arise rather than reacting after the fact is key to maintaining the reliability modern infrastructure demands.

Forging the future

Planning for efficiency today also means anticipating the demands of tomorrow. Across power, cooling, and space, operators must make design and operational decisions that can flex to the demands of next-gen workloads.

“When it comes to design, those three components – power, cooling, and space – are like a three-legged stool,” says Beers. “Each one must be robust for the data center to function effectively. If one falters or falls behind, it becomes a problem for the entire operation.”

Digital tools are essential to maintaining this balance. Platforms such as Cormant data center infrastructure management (DCIM) systems, combined with electrical power monitoring systems (EPMS) and advanced analytics, provide real-time visibility into energy consumption, heat loads, and system performance.

This enables operators to compare real-time operational data against design specifications – ensuring facilities are running as intended while also generating insights for future upgrades.

“It’s about taking what you have, learning from it, and implementing those lessons in the next generation of facilities,” adds Beers.

With power demand and compute density continuing to climb, the level of foresight required to manage future demand cannot be achieved through human expertise alone – but via collaboration between skilled teams and proven digital tools.

BGIS’s global footprint also plays an important role. With specialists located across diverse markets, the company can deliver scalable expertise wherever it’s needed. Beers expands:

“A global reach allows us to benefit from information sharing. When it comes to commissioning and project management, we connect teams across regions and bring together knowledge from the entire life cycle of the building.”

Lessons learned in one region can be applied to projects elsewhere to support both hyperscale and colocation environments while improving agility and efficiency across the board.

Collaboration as a catalyst

For Beers, the most effective strategies are built on collaboration: “We’ve found that the best support model is truly collaborative by default. We’re constantly aligning and adapting as emerging technologies develop and customer needs evolve.”

This collaborative mindset extends to shared risk assessments, proactive planning, and continuous improvement across projects. By evaluating potential risks early and working closely with key stakeholders to address them, operators can ensure facilities remain resilient even as demands increase.

In meeting sustainability targets, facility management is inherently people-centric, with operational teams directly influencing power consumption, water usage, maintenance practices, and long-term asset performance.

“We analyze workforce practices and real-time operational data to identify opportunities for improvement,” says Beers. “From there, we implement changes that support both efficiency and sustainability.”

BGIS’ Blue Zone buildings initiative reflects this philosophy. Recognizing that individuals are spending increasing amounts of time inside facilities, the program focuses on creating healthier environments while supporting ESG goals.

This includes initiatives such as waste reduction, recycling programs, waste-to-energy strategies, air quality, and careful management of asset life cycles and equipment obsolescence, undertaken in collaboration with its waste and supply chain partners.

Mission-critical thinking

Ultimately, maintaining long-term efficiency in the data center comes down to mindset. Treating every interaction as mission-critical helps slice through complacency, ensuring both speed and quality remain priorities across every stage of the operational life cycle.

And while redundancy remains a cornerstone of data center design, reliability also depends on operational resilience at the human level. A culture that prioritizes well-being, training, and teamwork supports the consistent performance that mission-critical facilities require.

In a landscape increasingly defined by digital infrastructure, the formula for long-term success may be simpler than first appears. It carefully combines empowered people, smarter tools, and commitment to doing things the right way – even at speed.

For more information and to get in touch, please visit our website