Returned Payments Process Automation & Capacity Recovery
Redesigning high-volume returned payment workflows into a more scalable, automation-enabled operating model that eliminated 160+ manual hours per week and recovered approximately four FTEs of operational capacity.
The redesigned process reduced repetitive manual intervention, improved processing speed, and created a scalable framework for handling returned payment activity without proportional staffing increases.
- Recovered approximately four FTEs of operational capacity
- Reduced backlog risk across high-volume payment workflows
- Improved consistency and accuracy across payment handling
- Freed team capacity for higher-value exception resolution and analysis
Context
At Charter Communications, returned payment operations supported a multi-million-customer environment involving payment exceptions, reversals, and downstream account impacts across billing and collections workflows.
The function operated at high volume and required timely, accurate processing. However, much of the work relied on manual review, repetitive intervention, and fragmented handling across teams.
As transaction volume increased, the process became harder to scale efficiently and created growing pressure on operational capacity.
The Operational Breakdown
The issue was not simply that the team had too much work. The deeper problem was that highly repeatable operational activities were still being handled through labor-intensive manual processes.
- Returned payment processing required extensive hands-on review and intervention
- Workflows were fragmented across teams with inconsistent execution methods
- High transaction volumes created backlog risk and slowed processing timelines
- Manual effort introduced variability and increased the risk of inconsistent outcomes
- Teams were heavily dependent on repetitive tasks, limiting capacity for higher-value work
Approach
The work began with a detailed review of end-to-end returned payment workflows to identify bottlenecks, redundancies, manual dependencies, and opportunities for automation.
Activities were segmented into rule-based tasks that could be automated and decision-based activities that still required human review, judgment, or exception handling.
- Analyzed end-to-end workflows to identify bottlenecks and redundant steps
- Separated rule-based activities from decision-based exception handling
- Redesigned workflows to eliminate unnecessary manual steps
- Partnered with IT and banking partners to support automation implementation
- Standardized workflows and structured procedures for consistency
- Established controls to maintain accuracy and proper exception handling
Solution
The redesigned operating model embedded rules and processing logic into automated workflows, reducing the need for manual review across high-volume transaction activity.
Instead of scaling the process through additional manual effort, the workflow was rebuilt to handle repeatable processing through system-driven execution while preserving clear controls for exceptions and escalations.
- Automated high-volume returned payment workflows with minimal manual intervention
- Embedded rules and logic into system-driven processing
- Standardized exception handling and escalation paths
- Improved consistency across payment handling workflows
- Created a scalable processing model without proportional staffing increases
Results
The automation and workflow redesign significantly reduced manual effort while improving speed, consistency, and scalability across returned payment operations.
- Eliminated 160+ manual hours per week, equal to approximately four FTEs of capacity
- Increased processing speed and reduced backlog risk
- Improved consistency and accuracy across payment handling
- Freed team capacity for higher-value exception resolution and analysis
- Established a scalable framework for ongoing automation and improvement
Key Capabilities Demonstrated
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