When you buy a group health insurance policy for your employees, you expect it to work smoothly. Employees should be able to get answers, file claims, and feel supported when they need it most.
But here is what actually happens in most companies.
An employee gets admitted to a hospital at 9pm. They have no idea which hospitals are in their network. They call HR. HR is not sure either. Someone tries to reach the insurance team. No one picks up. By the time they get an answer, it is midnight and the employee is stressed, confused, and feeling completely unsupported.
This was the reality we kept seeing and it pushed us to ask a simple question: Does every insurance query actually need a human to answer it?
The answer, it turns out, was no. And that realization is what led us to build PazGPT.
Why did group health insurance support need fixing?
Group health insurance is genuinely complicated for employees. Most people do not deal with it until they suddenly need it and when they do, they are often already in a stressful situation.
The questions they ask are not complicated. They are things like:
"Where is my health card?"
"Is this hospital in my network?"
"How do I file a cashless claim?"
"My claim got rejected, what do I do now?"
Simple questions. But they were flooding our support team every single day. And because the team was buried under hundreds of these routine queries, the clients who had genuinely urgent issues, a hospitalization, an emergency, a claim rejection that needed immediate attention were waiting longer than they should have.
What the data revealed about group health insurance queries?
Before building anything, we looked carefully at what our support team was actually dealing with every day. When we looked at the data, the picture became very clear:
70% of all support queries were simple informational requests. Repetitive questions that had clear, straightforward answers. Nothing that required human judgment. Nothing that required escalation. Just information that an employee needed quickly so they could move forward.
Those queries were slowing everything down. Support teams were overwhelmed. Response times were slow. And clients were frustrated not because the team was not working hard, but because the team was spending most of its time answering the same questions over and over again. When you look at that list, a pattern becomes obvious. Most of these questions are informational. The kind of thing a well-designed system can handle perfectly well and far faster than a human support agent working through a queue of hundreds of messages.
80% of all incoming queries were insurance-related, and the remaining 20% were wellness-related. Within the insurance queries, 90% were claims-related either before a claim was filed or after.
The pre-claim questions were things like: Which hospitals are covered under my plan, how does cashless hospitalization work, what does my policy actually cover, and roughly how much will this procedure cost me?
The post-claim questions were things like: what is the status of my claim, why was my claim rejected, what additional documents do I need to submit, and why has my IR been raised.
That insight is what shaped everything we built next.
The Solution: Building PazGPT
PazGPT is Pazcare's AI-powered support chatbot, built specifically for employee insurance support queries.
The goal was to free our support team up for the work that actually needs them like urgent cases, complex situations, and the moments where a human touch genuinely matters.
PazGPT was designed to do four things well: Automatically answer common insurance queries, provide instant responses at any time of day or night, reduce the routine workload on our support team, and improve the overall experience for employees who just need a quick, clear answer.
How PazGPT actually works
We wanted PazGPT to feel easy to use and easy to understand not like you are talking to a system, but like you are getting a helpful, informed response from someone who knows your policy well.
Under this, three things make this work.
The first is Large Language Models(LLMs). These are the AI models that allow PazGPT to understand questions written in plain, everyday language, not insurance jargon, not structured commands, just normal sentences the way employees actually type them.
The second is the Pazcare Knowledge Base. PazGPT does not make things up. Every answer it gives is pulled from Pazcare's internal group health insurance documentation like policy details, network hospital lists, claim processes, coverage information. The knowledge base is the foundation that makes the answers accurate and trustworthy.
The third is multi-channel access. Employees do not have to go to a separate portal or download a new app. They can reach PazGPT directly on WhatsApp or over email, the channels they are already using every day. That accessibility matters more than most people realize.
How does PazGPT route queries between AI and human support ?
Not every query should be handled by AI. We were clear about that from the beginning. So we built a routing system that works like this.
When PazGPT receives a query, it first assesses what kind of question it is. If it is a simple, informational question of the kind that has a clear, factual answer then PazGPT responds instantly. The employee gets their answer in seconds, any time of day, without waiting for a human agent to become available.
If the query is more complex, a claim dispute, an unusual coverage situation, something that requires judgment or action rather than just information, PazGPT routes it to a human agent. The employee still gets a fast acknowledgement, and the right person picks it up from there.
This distinction matters. It means the system gets smarter about where human attention is actually needed, and employees never feel like they are stuck in an automated loop when their situation genuinely requires a person.
One category of queries sits completely outside the PazGPT workflow: Cashless claim emergencies.
Cashless hospitalization is time-sensitive in a way that other insurance queries simply are not. When an employee is at a hospital at 2am trying to get cashless approval, they do not need a chatbot. They need a human being who can act fast. This is why Pazcare built a dedicated cashless claims hotline, staffed by agents who handle these cases directly.
It is a deliberate design choice: use AI where speed and scale matter, use humans where stakes and urgency matter.
How was the right AI tone designed for PazGPT?
Group health insurance queries often come in during some of the most stressful moments in an employee's life. A hospitalization. A claim rejection after a difficult procedure. A confusing document request when someone is already overwhelmed.
We did not want PazGPT to respond like a machine in those moments. We wanted it to respond like a knowledgeable, calm, helpful person. So the language PazGPT uses was designed carefully. It is empathetic without being over the top. It is clear without being cold. It gives specific instructions rather than vague reassurances. And it avoids the robotic, formal phrasing that makes most automated systems feel alienating.
What has changed since PazGPT
Response times are faster. Employees get answers in seconds for the questions that used to take hours. Support workload has dropped significantly, with the routine query volume that used to consume most of the team's day now handled automatically. The employee experience has improved, people feel supported when they reach out, rather than feeling like they are waiting in a queue for something simple.
Group health insurance is supposed to make employees feel secure. PazGPT is one part of how Pazcare is working to make sure that promise actually holds not just on paper, but at 9pm on a Tuesday when someone needs an answer and cannot wait until morning.
Pazcare combines group health insurance with the tools, support, and technology that make benefits actually work for HR teams and for the employees. See how it works at pazcare
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