Healthcare · RPA Assessment and Automation Anywhere Deployment
RPA Assessment and Automation Anywhere Deployment
Identifying the right automation candidates before scaling healthcare back-office delivery
Introduction
01
The client is a leading national medical group serving tens of millions of patients across emergency medicine, anesthesiology, hospital medicine, radiology, surgery, and the back-office systems each specialty requires. Two engagements represent two phases of the same strategic move: RPA assessment and nearshore replacement of onshore IT.
Problem
02
The medical group had a legacy RPA estate whose efficiency and accuracy had drifted over time with bots running on assumptions that no longer held, processes whose business owners had moved on, automation that produced output the downstream systems no longer expected. RPA assessment work is harder than greenfield RPA delivery because the team has to decide which existing bots to repair, which to replace, and which to retire.
Solution
03
Taller deployed six Automation Anywhere-certified RPA professionals who assessed the existing automated processes, improved their reliability where the underlying logic was still sound, and designed and deployed new bots in direct collaboration with end users. The Automation Anywhere A360 platform provides the runtime substrate; the engagement's durability comes from Taller's methodology: structured workflow analysis with actual users rather than with systems-of-record they touch, bot-level test coverage that proves behavior against a defined contract, and engineering best practices that distinguish production-grade automation from brittle workflow recordings.
Impact
04
A senior director at this client cited the operational efficiency the engagement produced as the reason the team continued to scale into additional roles.
Significance
05
RPA at a national medical group of the medical group's scale is not a productivity optimization — it is the operational substrate that determines whether the organization can absorb workload growth without proportional administrative-cost growth. A working RPA assessment-and-deployment practice is the difference between an automation program that compounds into a sustained operational capability and one that calcifies into legacy.