Transforming Manual Process Into Enterprise-wide Hyperautomation
2 mins read
CASE STUDY
Transformed poorly instrumented manual processes into a future-proof digital enterprise – delivering over 27% productivity improvement, 30% cost reduction.
| $2.25M
First year cost savings |
100+
Processes automated |
30%
Decrease in |
Company Overview
Our client is a leading healthcare fintech company that is dedicated to modernizing the financial experience for healthcare organizations across the continuum of care.
| Company Type | Company Size | Company Capitalization |
| Healthcare Fintech | Mid+ Market 3000+ Employees |
$3 B |
Business Problem
- Our client faced immense pressure to innovate amidst complex regulations, price transparency demands and evolving payer provider convergence dynamics.
- In areas like data aggregation, claims processing and customer service, extensive manual processes hampered innovation velocity, agility and efficiency.
- They sought to adopt hyperautomation, build an internal automation CoE to streamline core back-office operations via use cases ranging from AI-assisted customer handling to ML based payment integrity checks.
Approach
- We leveraged process mining to discover workflows, identified over 100+ automation opportunities through interviews, sized ideas on cost/speed/UX impact and prioritized the high value opportunities.
- These opportunities then went through optimization leveraging design thinking before reimagining them through leveraging RPA, NLP, custom ML and API integration.
- We conducted change management and utilized phased rollout to help build their internal automation Center of Excellence (COE) and operationalize the solutions, achieving the target operating model in 12 months.
Technology Used
 |
 |
Results & Outcomes
| $2.25 million in first year savings — $10 million over three years | 100+ processes automated in the first year | 27% increase in internal user productivity |
| 30% decrease in overall operational cost |
