Once an AI use case and desired business outcome are identified, it is time to quickly prove the viability and return on investment (ROI). The ePlus AI Proof of Concept (POC) Accelerator takes your use case to secure proof of concept with quantifiable metrics—so you can quickly fail fast and pivot—or succeed fast and scale.
HOW ePLUS CAN HELP
Prove the viability and ROI of your AI use cases in 30 days or less
The ePlus AI POC Accelerator is a framework to confidently prove your use case in a secure and private environment with quantifiable metrics to determine the viability and ROI. The four-week methodology delivers a POC in a private environment with representative exports of your data to prove viability. This approach drives executive confidence by enabling fast, safe AI adoption to avoid the 95% failure rate of unproven use cases. The outcome is an objective analysis that empowers you to focus your investment on only the most impactful use cases.
Modern Data Platforms: Once your data strategy is established, the adoption of a modern data platform can accelerate the success of your AI initiatives. This allows for additional scale, better data pipelines, and expanded governance and security.
WHY ePLUS
Our Unique Differentiators
Accelerated POC Deployment
Accelerated POC Deployment
Leverage our methodology for a secure and rapid POC to prove the viability and ROI of your AI use case.
Data Expertise
Data Expertise
The ePlus data team has demonstrated experience in preparing data for AI workloads to provide a clear path for success.
Metric-Driven Approach
Metric-Driven Approach
Utilizing an objective metric-driven approach, ePlus can help you determine which use cases to prioritize.
ePlus Principal Security Consultant, Jes Gonzalez, was heavily featured in a recent article on Tech Target. The article covers how unreliable data can undercut AI efforts before they deliver meaningful returns.
In Part 2 of our discussion on Change Management in the Age of AI, we continue the discussion around AI features included within healthcare software updates and how that impacts risk management strategies.
ePlus has helped organizations across manufacturing, distribution, technology, healthcare, and the public sector move from AI curiosity to AI maturity in production. Through these experiences, we’ve noticed something more useful than any single project outcome: the questions themselves have gotten more ambitious, and more complex.
Healthcare IT teams have had an established routine around software updates. While this methodology has worked for years, the inclusion of AI features within software releases is changing how updates are reviewed, tested, and implemented.
As AI, cybersecurity threats, and market disruptions reshape IT, organizations must rethink outdated roadmaps and prioritize technology investments that drive real business outcomes. Read how strategic assessments can help you move forward in an uncertain world.
Author NameDavid Guilinger
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