Episcopal Health Foundation (EHF) faced growing pressure to extract insights from a rapidly expanding body of research. Reliance on manual processes, limited in-house AI expertise, and strict data governance requirements made it clear the organization needed a scalable solution to improve decisionmaking, without diverting resources from its mission. EHF partnered with NexusTek to help meet these rising operational and compliance demands with confidence.
Laying the groundwork for healthier data decisions
NexusTek began with a detailed requirements analysis to identify gaps, clarify critical needs, and align the right AI solution to support EHF’s strategic objectives. A custom AI tool was developed using natural language processing (NLP) to analyze research libraries and convert unstructured data into usable intelligence. To support performance and scalability, operations were migrated to the NexusTek Private Cloud, a modular cloud infrastructure built for hybrid flexibility, availability, and responsiveness.
Encrypted architecture and role-based access controls (RBAC) were implemented to safeguard sensitive data while supporting governance and responsible AI use. A proprietary security portal further strengthened protection and ensured compliance, while expert guidance and training enabled teams to leverage new AI capabilities ethically.
Operationalizing insight at scale
The organization achieved transformative outcomes, improving operational efficiency while setting the stage for future-ready AI and cloud consumption.
Automated extraction turned unstructured data into actionable AI insights, cutting research time from 5–10 hours per area to just 1–2, saving hundreds of hours in some cases. Teams could now process vast amounts of information with unprecedented precision, improving the speed and accuracy of decision-making. The new private cloud environment also provided dynamic hybrid cloud scalability, ensuring EHF’s IT infrastructure could accommodate future growth and increased data demands.
With modern AI capabilities now in place, EHF can support advanced research use cases without major reconfiguration, positioning itself to innovate faster and maximize long-term value.
Challenges
- Overwhelming research data volume
- Limited in-house AI expertise
- Growing data governance and security concerns
- Tight programmatic deadlines
Services
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Advisory Services
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AI Services
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Security Services
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NexusTek Private Cloud
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Cloud Migration
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Infrastructure Design
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Training
Outcomes
- Established a secure, scalable cloud infrastructure
- Enabled responsible AI adoption
- Reduced research time by up to 5x
- Improved decision-making while saving hundreds of hours
About the customer
A small, Texas-based nonprofit focused on health equity and systemic change.
