In contact center operations, ACW (After Call Work) is a critical performance metric that directly impacts productivity and efficiency. ACW refers to the set of post-call tasks completed by agents after a customer interaction, such as documenting interaction details, updating customer data, and creating service tickets.
Across different industries and business scenarios, ACW duration varies significantly. While well-structured ACW management can improve service quality and customer satisfaction, it also increases labor demands and requires higher overall agent capabilities. Optimizing after-call work duration has therefore become a core challenge for modern contact centers seeking to enhance both operational efficiency and service quality.
ACW Workload Distribution Across Industries
| Industry | Business Scenario | ACW Share of Total Handling Time | Key ACW Activities |
|---|
| Pharmaceutical | Adverse Drug Reaction Reporting | 20%-30% | Recording detailed adverse reactions (symptoms, duration, drug name, dosage, usage time, patient information); Creating or updating ADR reports; Submitting reports according to compliance workflows
|
| Financial Services | Credit Card Support | 15%-20% | Accurately recording financial transactions and customer requests; Updating customer account information (address, contact details, email, etc.); Creating or updating dispute and fraud-related tickets
|
| General Industry | IT Service Desk | 10%-15% | |
| E-commerce | After-sales Support | 5%-10% | Recording order details, product information, and complaints; Updating customer profiles; Creating or updating order-related requests such as returns, exchanges, and cancellations
|
*Data based on Nexlence contact center historical analytics
Official Launch of AI-Powered ACW Automation Platform
Driven by the pursuit of high-quality service standards and operational excellence, Nexlence has developed and deployed an AI-powered ACW Automation Platform for contact center operations.
The platform integrates cutting-edge technologies, including Natural Language Processing (NLP), Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and Robotic Process Automation (RPA), enabling fully automated after-call work across all business scenarios. With this solution, agent workload is reduced by approximately 30%.
The platform leverages high-precision speech recognition to capture and analyze conversations in real time while separating and anonymizing sensitive data such as personal information, enterprise data, and product-related details. Using large language models combined with domain-specific pre-trained datasets, the system interprets call content and generates structured outputs aligned with business requirements.
These outputs are then executed by RPA bots according to predefined business rules, automatically updating enterprise systems—such as creating service tickets, updating user profiles, drafting responses, and scheduling follow-up activities. The entire workflow is fully automated, significantly reducing manual intervention, improving operational efficiency, and minimizing workload for customer service agents.
Business Value of the ACW Automation Platform
The ACW Automation Platform represents not only a technological innovation but also a fundamental transformation in contact center operating models.
Significantly improved productivity:
Automation of after-call work enables agents to focus more on high-value customer interactions. This not only increases average handling capacity but also enhances overall contact center productivity, allowing organizations to manage higher customer demand without increasing headcount.
Reduced operational costs:
By minimizing reliance on manual processes, the platform effectively reduces labor costs and operational expenses. Automation also decreases the risk of human error, further improving operational reliability and efficiency.
Enhanced customer satisfaction:
Faster and more accurate service responses are key drivers of customer satisfaction. By optimizing ACW time, the platform shortens customer wait times and delivers a more seamless service experience, improving both satisfaction and loyalty.
Data-driven decision intelligence:
The platform generates accurate and structured data insights that support business optimization and strategic decision-making. These insights help organizations better understand customer needs and identify emerging market trends.
Success Case 1
In collaboration with a pharmaceutical company’s adverse drug reaction contact center, the ACW Automation Platform automatically records and analyzes patient feedback and drug safety information. It generates adverse event reports without manual intervention, reducing ACW time by up to 90% and significantly accelerating response speed.
Success Case 2
In the IT service desk of a fast-moving consumer goods company, the platform enables faster recording and resolution of employee IT issues. As a result, response time was reduced by 35%, employee satisfaction improved significantly, and ticket handling efficiency increased by 25%.
The successful deployment of the ACW Automation Platform demonstrates Nexlence’s strong capabilities in AI technologies and intelligent enterprise solutions. By deeply integrating advanced technologies with rich industry expertise, Nexlence has achieved a transformative improvement in contact center efficiency while delivering substantial business value to enterprises.
Looking ahead, Nexlence will continue to focus on AI innovation, further explore intelligent solutions, and support enterprises in maintaining competitive advantage amid digital transformation. Every innovation step forward reflects its commitment to shaping the future of the industry and unlocking greater possibilities for its clients.
Nexlence
PREVOUS ARTICLE
