A CASE STUDY
ARTIFICIAL INTELLIGENCE IN DEBT RECOVERY OPERATIONS
OVERVIEW
Trellissoft, Inc. implemented PulseAI360, an AI-powered call monitoring solution, for a leading collections agency in North America, and helped it to drastically improve the efficiency of its call center operations, leading to marked improvements in agent performance and an enhanced customer experience.
By leveraging PulseAI360 to analyze call data and automate quality assurance processes, our client gained valuable insights into customer interactions and identified important areas for improvement, reaping valuable benefits for the business.
BUSINESS CHALLENGE
The client, a well-established and leading provider of debt recovery services, faced several signifcant operational challenges that adversely impacted their bottom line.
- Recurring Customer Complaints
Damaged the brand image and led to statutory damages and attorney fees.
- Unsatisfactory Performance Levels
Poor Collection Effectiveness Index, Recovery Rate, and Cost of Collection
- High Operational Costs
Due to manual call monitoring and overall operational ineffciency.
- High Employee Attrition
Due to poor agent performance and stressed-out supervisors.
SOLUTION
The client approached Trellissoft to enquire about our automated call monitoring solution as they were facing undue pressure due to rising customer complaints and lawsuits. The intent was to increase call monitoring coverage to try and curb inefficient and unethical calling practices in the call centers.
Here’s what we achieved through our PulseAI360:
100% Call Monitoring via AI
Every single compliance issue caught and reported for corrective action.
Automated QA
QA scores generated automatically by AI based on predefined parameters.
Real time Guidance
Leveraged NLP and ML to provide suggestions and assist agents on calls.
Analytics for Targeted Coaching
AI analyzes volumes of call data to identify areas of improvement overall.
IMPACT
After successfully implementing our solution, the agency saw a boost in critical operational metrics within the first 12 months of implementation.
80%
Drop in Customer Complaints
Implementation of 100% call monitoring resulted in a drastic improvement in agent behavior on calls.
22%
Increase in Recovery Rate
This was attributed to an improvement in calling skills due to regular coaching and specific feedback received by agents.
50%
Drop in Monthly Attrition Rate
Employee attrition rates were cut in half within a period of one year since implementation.
10%
Cost Savings
By reducing the QA staff by 40%, reducing FTC penalties by almost 70% and cutting down on overall operational
inefficiency
80%
Drop in Customer Complaints
Implementation of 100% call monitoring resulted in a drastic improvement in agent behavior on calls.
22%
Increase in Recovery Rate
This was attributed to an improvement in calling skills due to regular coaching and specific feedback received by agents.
50%
Drop in Monthly Attrition Rate
Employee attrition rates were cut in half within a period of one year since implementation.
10%
Cost Savings
By reducing the QA staff by 40%, reducing FTC penalties by almost 70% and cutting down on overall operational
inefficiency
BENEFITS OF AI IN CONTACT CENTER OPERATIONS
AI-powered call monitoring offers numerous benefits for businesses, including enhanced customer experience, improved agent performance, and increased operational efficiency.
01. ENHANCED CUSTOMER EXPERIENCE
AI can analyze call content and route calls to the most appropriate agent or department, leading to faster resolution times and happier customers
AI can identify customer preferences and tailor interactions accordingly, creating a more personalized and satisfying experience.
AI can detect negative sentiment or specific issues during a call and alert agents or managers, allowing for prompt intervention and faster problem resolution.
By optimizing call rows and automating tasks, AI can help reduce customer wait times and improve overall call handling efficiency.
02. IMPROVED AGENT PERFORMANCE
AI can identify specific areas where agents need improvement, allowing for targeted coaching and training.
AI-driven performance metrics and feedback can increase agent accountability and motivate them to improve their performance.
AI can provide agents with real-time support and suggestions during calls, helping them handle complex situations and improve their performance.
03. INCREASED OPERATIONAL EFFICIENCY
AI can automate many aspects of call monitoring and quality assurance, freeing up supervisors to focus on more strategic tasks.
By improving efficiency and reducing the need for manual monitoring, AI can help reduce operational costs.
AI can analyze vast amounts of call data to identify trends, understand customer behavior, and make data-driven decisions.
AI can help ensure compliance with regulations and detect fraudulent activities by analyzing call content.
04. ENHANCED DATA PRIVACY AND SECURITY
AI can ensure secure call recording and storage, protecting sensitive customer information.
AI can help monitor calls for compliance withdata privacy regulations and other industryspecific compliance criteria.
05. SCALABILITY AND ADAPTABILITY
AI can easily scale to handle large call volumes, ensuring consistent quality and performance even during peak times
AI can adapt to changing business needs and customer preferences, providing ongoing value and support.
Why Trellissoft?
