Blue Prism RPA Implementation Engineers

Client profile: Series B fintech startup, 150 employees, processing $2B+ annual transaction volume.

Challenge: The Blue Prism RPA Implementation was stalled at 60% completion — custom C# code stages for SWIFT message parsing were failing validation, and the Work Queue exception handling couldn't scale beyond 10,000 daily transactions without memory overflow errors.

Solution: Smartbrain.io deployed a senior C# engineer with 6 years of Blue Prism experience. Over 8 weeks, the engineer refactored the SWIFT parsing logic using Blue Prism's native collection manipulation, implemented segmented Work Queue processing with automatic retry thresholds, and integrated Blue Prism's native logging with the client's Splunk instance for real-time monitoring.

Outcomes: Transaction processing capacity increased by approximately 5x to 50,000+ daily items. Exception handling accuracy improved to 98.5%. The complete Blue Prism automation pipeline reached production within approximately 8 weeks of engagement start.

Client profile: Mid-market healthtech platform, 400 employees, managing 2M+ patient records across 12 state jurisdictions.

Challenge: HIPAA compliance gaps in the existing Blue Prism RPA Implementation prevented production deployment — credential storage wasn't encrypted at rest, audit logs lacked required fields, and PHI exposure risks existed in Work Queue item payloads.

Solution: Smartbrain.io provided a C# specialist with Blue Prism security architecture experience. The engineer implemented Blue Prism Credential Manager with AES-256 encryption, redesigned Work Queue schemas to store only reference IDs with secure database lookups, and built custom C# audit logging stages capturing all required HIPAA Security Rule fields. Integration with the client's Epic EHR system was completed using Blue Prism's Interact module for human verification steps.

Outcomes: HIPAA compliance audit achieved 100% pass rate. PHI exposure risk reduced by approximately 95% through architectural changes. Patient record processing time decreased by roughly 60% within 6 weeks.

Client profile: Enterprise logistics provider, 1,200 employees, operating 200+ distribution centers across North America.

Challenge: The Blue Prism RPA Implementation for shipment tracking couldn't interface with legacy AS/400 warehouse management systems using standard Object Studio actions. Surface Automation attempts had 40%+ recognition failure rates on terminal screen data extraction.

Solution: Smartbrain.io deployed a 2-person C# team with specialized Blue Prism Surface Automation expertise. Over 10 weeks, the team developed custom region-matching templates, implemented dynamic wait logic for variable screen refresh rates, and built C# OCR preprocessing stages to improve character recognition accuracy. The solution integrated with Blue Prism's Control Room for centralized scheduling across all distribution centers.

Outcomes: Screen recognition accuracy improved to 96% from baseline 60%. Shipment tracking automation achieved approximately 85% reduction in manual data entry. Rollout to 200+ locations completed within approximately 10 weeks, with estimated annual labor savings of $1.2M.