NeuroNet has a vast database of patient inquiries, medical articles, and procedural manuals. However, finding relevant information was time-consuming and often led to delays in response. With Deskhero, the clinic leverages OpenAI Embeddings to scan through previous tickets, knowledge base articles, uploaded files like policies/manuals/presentation, and scraped website data.
Deskhero's AI capabilities help NeuroNet's support team by suggesting replies based on relevant content. This significantly reduces the time spent on crafting responses and improves the overall efficiency of the support team.
The comprehensive search bar powered by AI enhances search results, making it easier for the support team to find relevant information quickly. This leads to faster resolution of tickets and improved patient satisfaction.
NeuroNet also uses Deskhero's REST API to integrate the platform with their existing systems, ensuring seamless data flow and reducing manual data entry.
Overall, Deskhero's advanced AI capabilities have transformed NeuroNet's customer support, making it more efficient and patient-friendly.
How does Deskhero's AI suggest replies?
Deskhero uses OpenAI Embeddings to scan through previous tickets, knowledge base articles, and other relevant data. The AI then suggests replies based on this information.
How does the comprehensive search bar work?
The search bar uses AI to enhance search results, making it easier to find relevant information quickly.
Can Deskhero be integrated with existing systems?
Yes, Deskhero provides a REST API that allows you to integrate the platform with your existing systems.
* This article provides an example of how a fictive company in the Neurologists industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
