How a Radiology Network Boosted Throughput by 50% With AI-Driven Document Intake

The organization was already partnering with Infinx to
support their document intake process manually. As
volumes rose and complexity increased, both teams
saw an opportunity to improve efficiency through
automation. Infinx introduced Document Capture AI as
a next-step evolution of the services already in place.

“It used to take five minutes to process a doc. Now it’s closer to three. Our specialists went from handling 100 docs a day to as many as 150.”

Before transitioning to automation, the client relied on
180 FTEs to manually process referral orders and
clinical faxes and enter data into their system. The
workflow required each agent to:

• Open every fax
• Identify document types
• Extract fields
• Enter data into their internal systems
• Log and track their own throughput

The process was time-consuming and inconsistent. Accuracy dipped with fatigue, reporting was Excel-dependent, and agents had no real-time visibility into how they were performing. Leadership lacked clear metrics to scale improvements. Meanwhile, volume kept rising.

“This was about scaling smart. By giving the operation teams better tools, we helped them work faster without burning out.”

The Infinx product team worked with operations leaders to understand the existing document processing workflows in detail and delivered a platform that worked in real-world scenarios.

Document Capture AI replaced manual steps and gave teams more visibility to track throughput and time spent on admin work.

• AI agents classify document types (order, pre-auth, clinical) and extract data.
• Intuitive work queues assign work to specialists, allowing them to validate exceptions, such as low-confidence or incomplete documents.
• Native reporting provides visibility on throughput, time spent, and error rates.

• Built-in QA workflow ensures consistent quality on an ongoing basis.

With Document Capture AI, document capture specialists no longer had to open, type, and log each document manually. AI now classifies and extracts data up front; agents simply validate and paste into the system.

Automating manual steps saved time, reducing processing time by two minutes per document.

Over hundreds of documents, two minutes of saved time adds up; that means greater capacity for high volumes with fewer resources.

Document Capture AI drove a 50% average increase in the number of documents a specialist could process in a day. When measured in terms of efficiency gains, that’s an equivalent savings of 30+ FTEs.

And the best part? The productivity increase didn’t come at the expense of employee well-being.

“Employee feedback highlighted reduced fatigue and clearer workflow visibility.”

The AI agents achieved a 95% accuracy rate in document processing, and with decreased fatigue, staff were well equipped to handle exceptions.

With AI-driven workflows in place, the team can now manage growing document volumes without adding headcount while maintaining data entry quality and a positive employee experience.