We’re ready to help you seize it
The conversation in IT has fundamentally shifted. It’s no longer about infrastructure or AI — it’s about both, together, and what that combination can actually do for your business.
Right now, IT leaders are having two consistent conversations. The first is cloud rebalancing — the question of which workloads belong where. The second, and increasingly urgent, is outcomes from AI. Last year was about dabbling and experimenting. Now the questions are sharper: What’s the ROI? What’s the actual impact? And when do I get it?
There’s good news, though. Those outcomes are genuinely achievable today. Whether the goal is driving more revenue or accelerating product delivery, the tools and the platform exist right now to work backwards from real business goals — not just deploy technology and hope for the best.
Sachin Chheda, general manager of Nutanix Elevate Service Provider at Nutanix, and Expedient CEO Bryan Smith recently laid out Expedient’s approach to theCUBE at Nutanix .Next — where Expedient was named Service Provider of the Year (Americas) for the second consecutive year.
Intelligent Infrastructure: Cloud + Data + AI
At the heart of Expedient’s approach is intelligent infrastructure — the combination of cloud, data, and AI, with data as the connective tissue between all of it. The goal isn’t to rip everything out and start over. It’s to meet clients where they are.
The philosophy is simple: change the least amount of things that deliver the biggest impact.
That means looking at a client’s existing environment, using the components already in place, and making incremental improvements. Through a normal refresh cycle, clients can evolve to a cloud operating model that minimizes licensing expense, maximizes hardware utilization, and dramatically reduces the time their teams spend on day-to-day management — freeing them up to focus on higher-value work.
From Migration to Growth: A Clear Playbook
One of the most concrete proof points in Expedient’s track record: over 400 migrations completed in the last year, with only one rollback on the first attempt. AI-powered tooling — including agentic systems that automate research, data collection, and planning before a migration even begins — has fundamentally changed how fast and reliably infrastructure transitions can happen.
But migration is just the starting line. What happens next? Clients grow.
The growth playbook follows a logical sequence: establish a security foundation first, then give employees and teams access to AI and additional capabilities, then integrate and activate data to keep increasing value. At each step, clients get more comfortable with what’s possible — and the business starts to accelerate exponentially.
Real, Measurable Outcomes
Expedient doesn’t just hand clients technology and walk away. The process involves mapping out business processes, integrating with client data, and putting all the pieces together. Clients have access to a dashboard that shows, program by program and workflow by workflow, exactly what each AI agent is delivering — measured in dollars saved, hours recovered, or both.
In fact, a single agent implementation can typically cover the cost of the entire platform and its implementation. That’s not a future aspiration. That’s happening for clients today.
The Build vs. Buy Equation Has Changed
When companies rethink their infrastructure, they’re weighing risk, cost, CapEx vs. OpEx, and staffing. Maintaining legacy workloads while simultaneously building AI expertise is simply beyond what most internal teams can take on. Buying managed services from a provider like Expedient lets those teams redirect their energy to the work that actually moves the business forward.
There’s also a supply chain reality that many enterprises underestimate. Waiting even a quarter to purchase hardware should come with an expectation of paying 20 to 30% more. Expedient buys hardware 9 to 12 months in advance, building the buffer that lets clients get what they need when they need it — without that wait tax.
Cloud Rebalancing: The Right Workload in the Right Place
Expedient isn’t a competitor to hyperscale public cloud — it’s a complement. There’s a right time to use hyperscale, and there’s a right time to use a provider like Expedient. The key insight: most companies’ workloads are fairly consistent, and on those consistent workloads, a private cloud environment is generally 30% less expensive and faster to deploy.
Cloud rebalancing is the frame that matters here. It encompasses decisions about which hypervisor to use, where to run workloads at the edge versus a central location, and when hyperscale makes sense. It’s a holistic, strategic view rather than a binary choice.
Where Our Clients Are Winning
The areas of strongest momentum include:
- Disaster Recovery as a Service — often the entry point for clients who already trust Nutanix and want greater resiliency. Customers like Brinks Home Security have started their Expedient journey here.
- Private Cloud Deployments — driven by cost efficiency and performance on consistent workloads. See how one client modernized their cloud.
- Multi-Tenancy — freeing clients from the complexity of managing their own infrastructure, while keeping them in the driver’s seat on the things that matter to their business. See how one client made the switch.
- Managed AI Services — layered on top of the infrastructure foundation, these act as a multiplier compared to DIY. See how one client scaled AI securely.
The biggest factor is getting maximum value from the entire technology stack, not just picking and choosing a single component.
The IT landscape is at an inflection point, with opportunities unlike any we’ve seen. The convergence of cloud, data, and AI has made it possible to achieve things that simply weren’t on the table a few years ago. For organizations ready to stop experimenting and start capturing real business outcomes, Expedient has built the platform, the playbook, and the track record to get them there.
