Claims processing · Production

Apprio speeds up healthcare claims processing 7x with UiPath AI Computer Vision and RPA

The problem

Apprio's legacy RPA automations became impossible to maintain as healthcare system interfaces evolved, and VDI environments like Citrix blocked automation efforts requiring months of developer work per update.

First attempt

Original RPA automations and VBA code could not cope with changing healthcare interfaces; Citrix VDI was a persistent barrier for RPA, and any update required months of developer effort.

Workflow diagram · grounded in source
1
Claims arrive for processing
trigger
“facilitating medical insurance claims, including Medicaid enrollment and claims processing, to accelerate and maximize reimbursements for their customers”
2
AI Computer Vision reads interfaces
ai_action
“AI Computer Vision uses an algorithm that powers human-like recognition of user interfaces using a mix of AI and an in-house developed screen OCR solution to capture elements of the user interface”
3
RPA robots execute claims tasks
ai_action
“enable our digital workforce to handle more accounts and shorten the collection lifecycle”
4
Interface change detection and adaptation
ai_action
“if one of the systems Apprio is tracking for claims is updated or the interface changes, AI Computer Vision can recognize those changes and adapt to accommodate any element that has moved or a graphic that has changed size”
5
Claims processed, backlog cleared
output
“Four robots are currently managing seven times the number of claims that four workers were previously handling”
Reported outcome

Four robots now manage seven times the number of claims that four workers previously handled, the claims backlog was reduced by 96%, and new automations can be deployed in days rather than months.

Reported metrics
Claims volume (robots vs prior workers)seven times
Claims backlog reduction96%
Automation deployment timedeploy a new automation in days
Time-to-collectionshorten time-to-collection, reducing operating overhead
Reported stack
UiPathAI Computer VisionRPAOCRCitrixVMwareWindows Remote Desktop
Source
https://www.uipath.com/resources/automation-case-studies/apprio-speeds-up-healthcare-payments-with-rpa-and-ai-computer-vision
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Four robots now manage seven times the number of claims that four workers previously handled, the claims backlog was reduced by 96%, and new automations can be deployed in days rather than months.

What tools did this team use?

UiPath, AI Computer Vision, RPA, OCR, Citrix, VMware, Windows Remote Desktop.

What results were reported?

Claims volume (robots vs prior workers): seven times; Claims backlog reduction: 96%; Automation deployment time: deploy a new automation in days; Time-to-collection: shorten time-to-collection, reducing operating overhead (source-reported, not independently verified).

What failed first in this deployment?

Original RPA automations and VBA code could not cope with changing healthcare interfaces; Citrix VDI was a persistent barrier for RPA, and any update required months of developer effort.

How is this claims processing AI workflow structured?

Claims arrive for processing → AI Computer Vision reads interfaces → RPA robots execute claims tasks → Interface change detection and adaptation → Claims processed, backlog cleared.

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