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How EverOps Turns AI into Real DevOps Results: Executive Insights from Nick Kresz

09/09/25 | EverOps

“If you’re not using AI to enhance and empower your security teams, you will fall behind. Bad actors are already using sophisticated AI.” — Nick Kresz, Delivery Executive at EverOps 

AI adoption in DevOps is accelerating, but the gap is widening fast. Today’s leading teams are already automating cloud operations, clearing developer bottlenecks, and moving security toward prediction, while adversaries are advancing with AI simultaneously. Many organizations still take about 180 days to detect a compromise, which, unfortunately, leaves room for some serious damage.

This perspective comes from real practice, not just theory. Nick Kresz has worked across tech operations, security, and networking for more than two decades, and the market momentum supports what he sees in the field. The global Generative AI in DevOps market reached 1.87 billion dollars in 2024 and is expected to grow to 9.58 billion dollars by 2029 at a rate of 38.53%.

In this interview, you will meet a leader who turns momentum into measurable results. Kresz draws on experience in healthcare compliance, cryptocurrency mining, and enterprise consulting to guide practical adoption of AI. 

What you’ll discover is how EverOps’ unique pod model transforms traditional consulting into embedded partnerships, real-world AI implementations that deliver measurable ROI, proven frameworks for shifting security operations from reactive to proactive, and practical strategies for evaluating DevOps partners who can accelerate your AI transformation.

You’ll also gain field-tested insights on turning AI potential into daily results, avoiding common implementation pitfalls, and positioning your organization to lead rather than fall behind in this AI-dominated space. 

Nick Kresz’s Journey into Tech and Security

Nick Kresz began his career with a strong focus on solving problems under pressure. 

“My first job in tech was commission-based, and I got $25 for every problem I fixed, whether it took five minutes or three hours,” he recalls. 

Those early experiences demanded quick thinking and constant adaptation, shaping his practical approach to technology and teamwork. Over time, Nick’s work expanded from troubleshooting individual issues to designing solutions that could serve entire organizations. 

Before joining EverOps, Nick held several executive roles that broadened his perspective across industries. He served as Chief Information Security Officer for a large Medicare broker, where he led security initiatives in highly regulated environments. He also worked as Chief Technology Officer at a Bitcoin mining startup, gaining firsthand experience with emerging technologies. In addition, he founded and operated his own consulting firm, which grew to nearly fifty employees and delivered application development, cloud migration, and data solutions to enterprise clients.

At EverOps, Kresz brings what he describes as “a dual level of experience between individual contributor, senior engineer, architect, and technology executive.” His current role focuses on client relationship management and ensuring the company consistently delivers maximum value to its clients. 

“A lot of what I do is communications and relationship management, client relationship management,” he explains. “We’re just making sure that we’re continuously providing as much value for the clients as possible.” 

His colleagues describe him as a leader who stays directly engaged, guiding both strategic direction and daily execution. It’s clear that Nick’s hands-on approach to executive leadership, combined with his deep technical background and entrepreneurial experience, positions him to guide organizations through practical AI adoption while maintaining the direct engagement style that has defined his career.

How AI Solutions Are Shaping Cloud Operations at EverOps

For EverOps, AI is already producing positive results for clients. “With Life360, for example, we’ve kind of built a tool that helps essentially automate what we do from a cloud ops perspective,” Nick explains. This improvement is visible in faster delivery cycles, stronger developer support, and measurable client satisfaction.

This automation isn’t about swapping old scripts for new magic, though. By creating AI solutions that tie directly into current cloud environments, EverOps gives development teams the power to resolve problems, deploy, iterate, and build without delay.

“We’re basically enhancing that by feeding this AI model that we designed and deployed to the company so that it is aware of those tools, those deployment guidelines, those nuances and strategies for cloud deployment,” Kresz notes. The result eliminates the traditional bottleneck of ticket submission and response cycles.

Nick is also quick to point out that not all AI is created equal. The market is crowded with products that advertise artificial intelligence but fail to deliver meaningful value. He emphasizes that labeling a feature as AI does not make it transformative. What matters is whether the solution actually reduces friction, accelerates workflows, and empowers people to focus on higher-value work. This distinction between hype and impact guides how EverOps evaluates and designs AI tools.

Therefore, the collaboration with Life360 demonstrates how EverOps works in tandem with each client, tailoring automation to the specific environment and ensuring the solution aligns with the way teams already operate. Every adjustment reduces friction, strengthens productivity, and reinforces business value.

These advances also build trust across technical and leadership teams. Developers see how AI removes obstacles from their day-to-day work, and executives recognize the strategic value of tools that enhance performance while keeping teams focused on growth.

EverOps’ Pod Model: Embedded Leadership for Better Outcomes

Modern cloud operations require integrated expertise rather than isolated specialists. At EverOps, team structure drives their competitive advantage through what Kresz calls their unique approach. “The pod model is unique because we have senior, junior, and mid-level engineers working together, with a technology executive guiding strategy,” he explains. The strength stems from a combination of experience across various domains, platforms, and delivery maturity, supported by an engaged technology executive who ensures strategy alignment with execution. This blend breaks down silos and keeps decision-making close to the work.

Within each pod, experienced mentors carry the vision forward while newer engineers energize projects with enthusiasm and up-to-date knowledge. The intentional mix ensures that every solution benefits from both seasoned guidance and current technical know-how. Notably, the model places a technology executive, someone like Nick, in the action, providing strategy and remaining close enough to identify roadblocks or untapped opportunities.

The impact extends beyond internal dynamics. For clients, this translates into continuity and deep engagement. Pods can expand, contract, or reallocate focus without disrupting service. This flexibility has become a defining strength for EverOps, giving clients confidence that their teams will remain responsive even as priorities shift. In a field defined by change, the ability to adjust while maintaining high performance is a competitive advantage.

The Promise of Purposeful AI Operations

The fundamental question driving modern DevOps transformation centers on operational efficiency and human potential. Can artificial intelligence handle routine operational tasks while freeing skilled professionals to focus on strategic initiatives? 

According to Kresz, the answer is definitely yes. “AIOps is especially exciting because it can handle mundane, repetitive tasks so teams can focus on complex strategic work.”

He sees this momentum as validation of AI’s practical value rather than hype. “What excites me most is the practical application of AI to multiply efficiency, reduce costs, and increase company value,” he explains. The fundamental question becomes whether artificial intelligence can handle routine operational tasks while freeing skilled professionals to focus on strategic initiatives. 

This represents targeted automation with clear business objectives. Kresz envisions AI handling routine monitoring, ticket triage, and first-line support activities that traditionally consume significant engineering time. In turn, this approach will transform how teams engage with their infrastructure and operational workflows in the future. 

Nick speaks about this with clear conviction. For him, purposeful AI is not hype but a proven way to raise productivity, strengthen culture, and position organizations for long-term success.

Looking Ahead at the Next Wave of AI and DevOps Integration

The trajectory of AI in DevOps points toward deeper integration and more sophisticated automation capabilities. Based on current implementations and emerging trends, several key developments will define the next phase of this transformation, including: 

Nick emphasizes that the opportunity lies in how teams align people and automation. “Organizations that act now to unify people and automation will see friction decrease and performance soar,” he says. The objective is not to choose one over the other, but to apply each where it creates the most value.

This outlook is grounded in action, not theory. Continuous learning, rapid experimentation, and a willingness to evolve will shape the companies that lead the next wave of AI-powered DevOps.

Turn AI Strategy into Real Results with EverOps Expertise

If you are exploring AIOps integration or want a team that turns expertise into long-term results, EverOps is ready to help. Our TechPod model embeds experienced engineers and a hands-on leader inside your workflows, enabling you to see value quickly and with less risk. 

Since 2012, EverOps has empowered companies to achieve superior outcomes across DevOps, ITOps, and SecOps. Whether you need:

Our team is ready to help. 

Ready to talk about AIOps or a specific challenge you’re experiencing? Kick things off with a checkup! Our team will review your environment and provide a clear set of findings and a high-level roadmap. You can also request focused reviews for cloud cost control, engineering efficiency, or observability.

Contact the EverOps team today to schedule a conversation and outline next steps.

Frequently asked questions (FAQs)

What sets EverOps’ approach apart?

At its core, EverOps focuses on partnership and technical collaboration. “Our pod model combines multi-level expertise with executive guidance for each client,” says Nick. EverOps teams embed with yours, building solutions that fit your environment rather than offering cookie-cutter fixes.

How quickly can AI tools start making an impact?

Results often appear in weeks, sometimes days. EverOps helped Life360 reduce wait times and automate repetitive processes almost immediately, demonstrating that significant wins can occur quickly with the right design.

How does AI improve security in DevOps, according to EverOps?

AI shifts security from a reactive to a predictive approach, catching problems before they escalate, and accelerating threat detection and internal communication. This shortens the average detection window, empowering teams to stay ahead of attackers.

What is the actual business value of adopting AI in DevOps operations?

AI adoption is about more than speed. AI multiplies efficiency, reduces costs, and unlocks value by moving teams away from repetitive work and into high-impact projects.

How does EverOps adapt solutions for each client?

EverOps works closely with clients to understand where automation will provide the most value, customizing integrations and workflow adjustments for every engagement.