A powerful solution that allows companies to rapidly automate and dramatically scale customer interact ions with
Conversat ional AI (including chatbots and virtual assistants), developed and implemented by highly-skilled teams.
Specializing in affordable English and Spanish-language chatbot solutions companies, NDS Cognitive Labs offers rapid and affordable implementations that dramatically scale and improve customer engagement and retention, provide immediate 24/7 response, collect data, shorten sales cycles, and provide consistent multi-channel experiences. Integrating with legacy systems and global messaging platforms, AI chatbots provide human- like conversations, analyze sentiment and hand-off seamlessly to human agents, lower operational costs and learn and improve continuously.
This solution is capable of providing customer service to anyone around the world, regardless of the language, geography or even plat form, in just one place. This furthers international growth, as it provides companies the opportunity to utilize technologies such as natural language processing and multilingual communication. The users can interact with this solution no matter their language – they just enter their quest ions or issues and the Conversational AI will understand and answer directly. Our chatbot is completely customizable to the companies’ needs, offering multichannel communication and catering to an infinite number of people simultaneously, whilst delivering high-quality customer service.
Benefits of Conversational AI
- Dramatically increases scalability
- Greater visibility into customer needs, expectations and behaviors
- Increases customer satisfaction, engagement and loyalty
- Provides consistency across multiple channels including email, text and chat
- Improves customer service agent productivity
- Decreases contact center operational costs
- Increases conversion rates
- Provides instant customer response
Services
- Ensure AI systems are trustworthy (validation, monitoring, verification)
- Governance (operating models, processes)
- Continuous improvement (systems that are ethical, understandable, legal)
- Training current employees to work with AI
- Managing convergence of AI with other technologies
- Measuring ROI
- Responsible AI
- Test for bias in data models, human use of algorithms
- Natural language understanding, responses
- Virtual identities
- Pre-trained ASU (Automatic Semantic Understanding)
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