Automated Knowledge Transfer System for Outsourcing Agents
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Solution Overview
Problem
In outsourcing environments, manual knowledge transfer and training of agents are error-prone, time-consuming, costly, and affected by high attrition rates, making it challenging to achieve rapid transition, efficiency, and integration with in-house practices.
Innovation Solution
An automated system and method for knowledge transfer, agent support, and performance tracking using a cloud service that captures knowledge information through context strings, recreates it in different languages, creates standard operating procedures, and provides simulated and live business processes with continuous improvement support, enabling efficient knowledge retention and agent adoption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual knowledge transfer and training methods are used, then agents can be trained on in-house practices, but the process becomes error-prone, time-consuming, and costly
Solution Approach 1:
The patent replaces manual knowledge transfer mechanisms with an automated system that captures knowledge information from business processes and delivers it to agents through computing devices. The system automatically captures, stores, and transfers knowledge information, eliminating manual intervention and reducing both errors and training time.
Solution Approach 2:
The system enables agents to access knowledge information independently through computing devices. Agents can retrieve relevant knowledge information on-demand during their work, reducing the need for extensive manual training while maintaining accuracy in performing business processes.
2Loss of information
If manual training is provided to agents, then knowledge information can be transferred, but it involves high costs and resource consumption
Solution Approach 1:
The system creates digital copies of knowledge information from business processes and stores them in a database. These digital copies can be replicated and distributed to multiple agents simultaneously through computing devices, eliminating the need for repeated manual training sessions and reducing costs while maintaining knowledge integrity.
Solution Approach 2:
The automated knowledge transfer system serves multiple functions: capturing knowledge from business processes, storing it centrally, delivering it to agents, and enabling on-demand access. This multi-functional system replaces multiple separate manual training activities, reducing overall resource consumption while improving knowledge retention.
3Productivity
If rapid transition and integration with in-house practices are demanded, then service level agreements can be met, but manual processes cannot keep up with the speed requirements
Solution Approach 1:
The patent replaces complex manual knowledge transfer and training processes with an automated computer-based system. This substitution enables rapid deployment and scaling of knowledge transfer operations, allowing the organization to meet aggressive transition timelines and service level agreements that would be impossible with manual processes.
Data Source
AI summary
An automated system and method for knowledge transfer, agent support and performance tracking during life cycle of a business process in an outsourcing environment are disclosed. In one embodiment, knowledge information associated with the business process is captured. Further, standard operating procedures (SOPs) are created based on the captured knowledge information. Furthermore, a simulated business process is created based on the captured knowledge information upon reviewing the SOPs. In addition, agents are allowed to use the simulated business process and actual performance of the simulated business process is tracked.