From Manual Overload to Autonomous Medical Ops: 97% Role Reduction

Client Overview

Preferred Med Network is a medical coordination company managing high volumes of daily case documents across a wide network of patients, attorneys, and healthcare providers. At their scale, even small process failures create real consequences for real people.

From Manual Overload to Autonomous Medical Ops: 97% Role Reduction — Genta AI case study
From Manual Overload to Autonomous Medical Ops: 97% Role Reduction — Genta AI case study

The Challenge

01

Every single day, thousands of medical case documents were flooding in through outdated, unreliable software. To keep up, the team was relying on an offshore call center to sort inboxes and coordinate cases. It was expensive, hard to control, and it wasn't working. Documents were getting lost. Attorneys, patients, and providers were complaining. The internal staff were buried in data entry with no capacity to take on more cases or grow the business.

The Challenge

01

Every single day, thousands of medical case documents were flooding in through outdated, unreliable software. To keep up, the team was relying on an offshore call center to sort inboxes and coordinate cases. It was expensive, hard to control, and it wasn't working. Documents were getting lost. Attorneys, patients, and providers were complaining. The internal staff were buried in data entry with no capacity to take on more cases or grow the business.

The Solution

02

Genta AI built a full multi-agent system that replaced every manual workflow in the operation. Voice AI took over all inbound and outbound calls, making the call center completely redundant. An intelligent document scanning system automated intake, sorting, and data entry the moment documents arrived. Automated workflows then handled appointment booking, provider follow-up, and case coordination with zero human involvement at every step. The team stopped drowning in admin and started focusing on work that actually matters.

The Solution

02

Genta AI built a full multi-agent system that replaced every manual workflow in the operation. Voice AI took over all inbound and outbound calls, making the call center completely redundant. An intelligent document scanning system automated intake, sorting, and data entry the moment documents arrived. Automated workflows then handled appointment booking, provider follow-up, and case coordination with zero human involvement at every step. The team stopped drowning in admin and started focusing on work that actually matters.

Technologies Used

03

• OpenAI Agents SDK • Microsoft 365 API (Graph) • Railway • LangSmith • GPT 5.4 • PostgreSQL

Technologies Used

03

• OpenAI Agents SDK • Microsoft 365 API (Graph) • Railway • LangSmith • GPT 5.4 • PostgreSQL

The Results

The Results

The Results

By removing humans from the manual loop entirely, Preferred Med can now handle far greater case volume with a fraction of the team. Nothing gets lost. No complaints from attorneys or providers. Staff who were stuck on data entry are now doing meaningful, high-value work. The document processing workflow alone saves an estimated $300K a year.

97%

97%

97%

Manual Roles Eliminated

100%

100%

100%

Call Center Dependency Removed

0

0

0

Documents Lost

Tell us where the manual work hurts

We’ll tell you straight whether AI can fix it, what it costs, and what it should return. Whatever we build, you own.

Let's Connect

Tell us where the manual work hurts

We’ll tell you straight whether AI can fix it, what it costs, and what it should return. Whatever we build, you own.

Let's Connect

Tell us where the manual work hurts

We’ll tell you straight whether AI can fix it, what it costs, and what it should return. Whatever we build, you own.

Let's Connect

From Manual Overload to Autonomous Medical Ops: 97% Role Reduction

Client Overview

Preferred Med Network is a medical coordination company managing high volumes of daily case documents across a wide network of patients, attorneys, and healthcare providers. At their scale, even small process failures create real consequences for real people.

From Manual Overload to Autonomous Medical Ops: 97% Role Reduction — Genta AI case study
From Manual Overload to Autonomous Medical Ops: 97% Role Reduction — Genta AI case study

The Challenge

01

Every single day, thousands of medical case documents were flooding in through outdated, unreliable software. To keep up, the team was relying on an offshore call center to sort inboxes and coordinate cases. It was expensive, hard to control, and it wasn't working. Documents were getting lost. Attorneys, patients, and providers were complaining. The internal staff were buried in data entry with no capacity to take on more cases or grow the business.

The Challenge

01

Every single day, thousands of medical case documents were flooding in through outdated, unreliable software. To keep up, the team was relying on an offshore call center to sort inboxes and coordinate cases. It was expensive, hard to control, and it wasn't working. Documents were getting lost. Attorneys, patients, and providers were complaining. The internal staff were buried in data entry with no capacity to take on more cases or grow the business.

The Solution

02

Genta AI built a full multi-agent system that replaced every manual workflow in the operation. Voice AI took over all inbound and outbound calls, making the call center completely redundant. An intelligent document scanning system automated intake, sorting, and data entry the moment documents arrived. Automated workflows then handled appointment booking, provider follow-up, and case coordination with zero human involvement at every step. The team stopped drowning in admin and started focusing on work that actually matters.

The Solution

02

Genta AI built a full multi-agent system that replaced every manual workflow in the operation. Voice AI took over all inbound and outbound calls, making the call center completely redundant. An intelligent document scanning system automated intake, sorting, and data entry the moment documents arrived. Automated workflows then handled appointment booking, provider follow-up, and case coordination with zero human involvement at every step. The team stopped drowning in admin and started focusing on work that actually matters.

Technologies Used

03

• OpenAI Agents SDK • Microsoft 365 API (Graph) • Railway • LangSmith • GPT 5.4 • PostgreSQL

Technologies Used

03

• OpenAI Agents SDK • Microsoft 365 API (Graph) • Railway • LangSmith • GPT 5.4 • PostgreSQL

The Results

The Results

The Results

By removing humans from the manual loop entirely, Preferred Med can now handle far greater case volume with a fraction of the team. Nothing gets lost. No complaints from attorneys or providers. Staff who were stuck on data entry are now doing meaningful, high-value work. The document processing workflow alone saves an estimated $300K a year.

97%

97%

97%

Manual Roles Eliminated

100%

100%

100%

Call Center Dependency Removed

0

0

0

Documents Lost

Tell us where the manual work hurts

We’ll tell you straight whether AI can fix it, what it costs, and what it should return. Whatever we build, you own.

Let's Connect

Tell us where the manual work hurts

We’ll tell you straight whether AI can fix it, what it costs, and what it should return. Whatever we build, you own.

Let's Connect

Tell us where the manual work hurts

We’ll tell you straight whether AI can fix it, what it costs, and what it should return. Whatever we build, you own.

Let's Connect

From Manual Overload to Autonomous Medical Ops: 97% Role Reduction

Client Overview

Preferred Med Network is a medical coordination company managing high volumes of daily case documents across a wide network of patients, attorneys, and healthcare providers. At their scale, even small process failures create real consequences for real people.

From Manual Overload to Autonomous Medical Ops: 97% Role Reduction — Genta AI case study
From Manual Overload to Autonomous Medical Ops: 97% Role Reduction — Genta AI case study

The Challenge

01

Every single day, thousands of medical case documents were flooding in through outdated, unreliable software. To keep up, the team was relying on an offshore call center to sort inboxes and coordinate cases. It was expensive, hard to control, and it wasn't working. Documents were getting lost. Attorneys, patients, and providers were complaining. The internal staff were buried in data entry with no capacity to take on more cases or grow the business.

The Challenge

01

Every single day, thousands of medical case documents were flooding in through outdated, unreliable software. To keep up, the team was relying on an offshore call center to sort inboxes and coordinate cases. It was expensive, hard to control, and it wasn't working. Documents were getting lost. Attorneys, patients, and providers were complaining. The internal staff were buried in data entry with no capacity to take on more cases or grow the business.

The Solution

02

Genta AI built a full multi-agent system that replaced every manual workflow in the operation. Voice AI took over all inbound and outbound calls, making the call center completely redundant. An intelligent document scanning system automated intake, sorting, and data entry the moment documents arrived. Automated workflows then handled appointment booking, provider follow-up, and case coordination with zero human involvement at every step. The team stopped drowning in admin and started focusing on work that actually matters.

The Solution

02

Genta AI built a full multi-agent system that replaced every manual workflow in the operation. Voice AI took over all inbound and outbound calls, making the call center completely redundant. An intelligent document scanning system automated intake, sorting, and data entry the moment documents arrived. Automated workflows then handled appointment booking, provider follow-up, and case coordination with zero human involvement at every step. The team stopped drowning in admin and started focusing on work that actually matters.

Technologies Used

03

• OpenAI Agents SDK • Microsoft 365 API (Graph) • Railway • LangSmith • GPT 5.4 • PostgreSQL

Technologies Used

03

• OpenAI Agents SDK • Microsoft 365 API (Graph) • Railway • LangSmith • GPT 5.4 • PostgreSQL

The Results

The Results

The Results

By removing humans from the manual loop entirely, Preferred Med can now handle far greater case volume with a fraction of the team. Nothing gets lost. No complaints from attorneys or providers. Staff who were stuck on data entry are now doing meaningful, high-value work. The document processing workflow alone saves an estimated $300K a year.

97%

97%

97%

Manual Roles Eliminated

100%

100%

100%

Call Center Dependency Removed

0

0

0

Documents Lost

Tell us where the manual work hurts

We’ll tell you straight whether AI can fix it, what it costs, and what it should return. Whatever we build, you own.

Let's Connect

Tell us where the manual work hurts

We’ll tell you straight whether AI can fix it, what it costs, and what it should return. Whatever we build, you own.

Let's Connect

Tell us where the manual work hurts

We’ll tell you straight whether AI can fix it, what it costs, and what it should return. Whatever we build, you own.

Let's Connect