60,000+
homecare patients
50,000+
caregivers
85M+
care hours annually
Industry
A national home care provider was registering thousands of new hires weekly through a government compliance portal manually, one entry at a time, with a prior Python automation already having failed against the portal’s instability. Inferenz deployed a UiPath RPA solution handling the full registration workflow end to end, with structured resilience built in for real-world portal failures. The automation now processes thousands of transactions per week without human involvement, recovering tens of thousands in manual hours annually and delivering a million dollars in operational savings.
Every new hire required manual registration on a government portal never designed for automation. The manual burden was operationally unsustainable, and one previous automation attempt had already failed.
Login, data entry, document upload, and form validation, completed by hand for every new hire, every week. At roughly 12 minutes per transaction, the process consumed the equivalent of 10 full-time roles annually with no automated alternative.
A prior Python-based attempt collapsed against dynamic portal elements, random session drops, and unpredictable error states. It required constant manual rescue, eroded leadership’s confidence in automation, and left the backlog problem unsolved.
Slowness, session timeouts, and inconsistent page rendering were not edge cases on the government portal, they were routine. Any reliable automation had to be architected around instability as an assumption, not an exception.
During peak hiring periods, backlogs compounded week over week. The only way to process more transactions was to assign more people, a model where compliance costs scaled directly and unavoidably with headcount.
Inferenz deployed a UiPath RPA solution to automate the full new hire registration workflow on the government portal.
The core automation handles login, structured data entry for basic and employment details, document upload, and form validation end to end, without any human involvement at any step.
Resilience was the primary design constraint. The solution was built with structured retry logic, comprehensive exception handling, and detailed logging at every step, treating portal instability as a given rather than an edge case, and ensuring that failures are caught, logged, and retried without manual intervention.
A parallelPOC was delivered to demonstrate UiPath’s capability to senior leadership, running continuously for 2 to 3 months during a critical year-end period and proving the platform’s stability under sustained production load. This restored confidence in automation after the prior Python failure.
A third automation process is in final development, designed using operational learnings from the first two. Modular workflow architecture ensures each process is maintainable, extensible, and straightforward to hand over as the automation program scales.
Manual effort per registration
From ~12 minutes of human time per transaction to near-zero, across every new hire processed through the portal.
Estimated annual savings
Equivalent to eliminating 10 FTE roles dedicated solely to government portal data entry.
Recovered annually
Manual portal entry time freed for redeployment into higher-value workforce and compliance operations.
On every transaction
Every bot run logged with status, exception handling, and retry outcomes complete traceability across all transactions.
Whether you’re starting with data modernization or exploring AI copilots, we’re here to help.
Contact Us
