Bots in the Contact Center
Bots have become an essential tool in contact centers, increasing efficiency, enhancing customer satisfaction, and reducing the workload of human agents for time-consuming
Compliance Call Recording
Financial Regulators across the globe are enacting regulation that requires the recording of mobile phone conversations of finance sector professionals, apart from the alrea
Projects with Bots and AI
The integration of bots and artificial intelligence (AI) into business processes presents immense opportunities—whether for improving customer interactions, automating workf
1. Defining Objectives and Planning
The success of an AI project starts with a clear definition of goals:
What should the bot achieve? Should it automate customer inquiries, support internal proce
2. Data Preparation and Training
The quality of a bot depends largely on the data it is trained on:
Data collection and preparation: Gather and clean data from relevant sources such as chat logs,
3. Technical Implementation and Integration
Once the data foundation is established, the technical implementation follows:
Choosing the right technology: Should generative AI be used, or are tradi
4. Monitoring and Continuous Optimization
Project completion is not the end—it marks the beginning of an ongoing optimization process:
Performance monitoring: Continuously track bot performance to
Ensuring Quality in RAG Architecture
Cluster Analysis: The vector database is analyzed to form logical groups (clusters) that represent knowledge domains (e.g., product categories or service plans).
Our website uses cookies. These have two functions: Firstly, they are necessary for the basic functionality of our website. Secondly, we can use cookies to continually improve our content for you. This is done by collecting and analysing pseudonymised data from website visitors. You can withdraw your consent to the use of cookies at any time.
