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Home/Generative AI Integration/Zenithbay Health
Healthcare Case Study

Zenithbay Health

A content generation tool that fit naturally into an existing editorial workflow.

-26%Admin Time Saved
Zenithbay Health digitallyscaled
ClientZenithbay Health
IndustryHealthcare
Timeline9 weeks
ServicesGenerative AI Integration
The Challenge

Where things stood before

When Zenithbay Health first reached out, administrative and clinical workflows that hadn't kept pace with the volume they were handling was the issue sitting at the top of their list.

Competitors and peers seemed to have this figured out already, which only made it more frustrating.

The Solution

What we built

Our approach focused on the root cause rather than the most visible symptom.

The result was straightforward: a content generation tool that fit naturally into an existing editorial workflow, built specifically around what Zenithbay Health needed.

  • Validated thoroughly before deployment to avoid production surprises
  • Benchmarked against clear, agreed-upon success metrics from day one
  • Built using OpenAI API and LangChain for a stable, maintainable foundation
  • Designed around Zenithbay Health's actual data and workflow, not a generic template
Results

The impact, by the numbers

-26%
Admin Time Saved
92.4%
Model Accuracy
-43%
Patient Wait Time
+20%
Staff Satisfaction
Tech Stack

Built with

OpenAI APILangChainPythonVector DB

“I was skeptical this would actually work for us specifically. But -26% admin time saved within a few months, and the process to get there was more thoughtful than I expected.”

EV
Elowen Vasilenko

Head of Operations, Zenithbay Health

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