
Faster Eligibility Response Time

Staff Hours Reclaimed Annually

Annual Cost Reduction

Reduction in Data Entry Errors

Payer portals fully automated

Average eligibility response time

Bot availability across all portals

Scale achieved without new hires
A critical subset of payer eligibility data was inaccessible via standard EDI 270/271 transactions or direct APIs. For these payers — covering roughly 60%-70% of the client’s total request volume — staff were required to manually log into each individual payer web portal, enter member demographics, navigate multi-screen flows, capture the eligibility response, and transcribe results back into the client’s proprietary API platform.
At peak, this manual process consumed 45 full-time equivalent staff hours per day across a dedicated operations team. Each check averaged 4–6 minutes. Errors from manual transcription caused downstream claim denials and delayed patient care — a reputational and financial liability the client could no longer accept as its payer network continued to grow.
4-6 minutes per manual eligibility lookup across 40+ payer portals
8.3% average transcription error rate causing downstream claim denials
Inability to scale without proportionally growing headcount
No audit trail or structured logging for manual portal lookups

Eligibility requests requiring manual portal verification at project start

Dedicated FTE time consumed by repetitive portal navigation and data entry

Fully-loaded cost including labor, error remediation, and rework
We were adding headcount every quarter just to keep up with payer portal volume. It was unsustainable — and every manual step was a potential compliance or accuracy risk.
– Chief Technology Officer

UiPath Studio for developing and managing scalable RPA workflows.

Native FHIR R4 resource server + HL7 v2 bridge embedded at EMR data layer-zero middleware

UiPath AI Computer Vision for intelligent payer portal navigation and dynamic UI handling.

Microsoft Azure Virtual Machines for secure and scalable unattended bot hosting.

Azure Key Vault for encrypted storage and secure access to payer credentials.

REST APIs for real-time eligibility request processing and response delivery.
Faster response time
From 4-6 min <30 sec
Staff hours saved annually
45 hrs/day reclaimed
Annual cost reduction
Full ROI in <4 months
Reduction in data entry errors From 8.3% 0.7% error rate
Payer portals automated 100% portal coverage achieved
Bot uptime SLA achieved 24/7 unattended operation

In US healthcare, EDI coverage gaps mean a significant share of eligibility requests will always require portal interaction. Rather than treating the issue as a staffing problem, enterprises that deploy payer-specific RPA bots convert this liability into a scalable, auditable, competitive differentiator — without waiting for payers to build APIs.

No two payer portals are identical — and portals change layouts without notice. Traditional selector-based RPA breaks under these conditions. By layering UiPath's AI computer vision capabilities into our bot architecture, Auxiliobits built bots resilient to layout changes, reducing portal maintenance overhead by over 70%-80% compared to standard RPA approaches.

The client's ability to onboard new payer portals in days — rather than months of hiring and training — means every new payer relationship translates immediately into revenue. This structural advantage compounds over time: as competitors scale headcount, this client scales bots. Automation velocity is the new operational moat in healthcare data services.
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