Less repetitive work, more focus on the customer
Customer service representatives spend a large part of their workday performing repetitive tasks. They look up customer information, switch between different applications, create summaries, record the reasons for contact, and sometimes enter information multiple times. Each task on its own may seem insignificant. Taken together, however, they can take up a large portion of the […]
What questions should an AI assistant always refer to a human?
AI assistants should pass on emotional situations, complex issues and legal questions for optimal customer experience.
How do you train an AI assistant on company-specific terminology?
Complete guide to AI training on enterprise language: from data collection to implementation in 2-8 weeks.
How do you recognize when an AI assistant is not helping a customer properly?
Recognize warning signs of failing AI assistants: repeated referrals, customer frustration and escalations to human assistants signal problems.
What is the difference between an AI assistant and a virtual agent?
AI assistants think independently and conduct complex conversations, virtual agents follow scripts. Find out which technology is right for your organization.
How do you prevent hallucinations in AI assistants in customer contact?
Discover practical methods to prevent AI hallucinations in customer contact and ensure trust.
When does an AI assistant pay off for SME Plus organizations?
AI assistant pays off when repetitive tasks make up 40% contact volume. ROI within 8-18 months through time savings and improved customer satisfaction.
When is your legacy system ready for AI assistant integration?
Legacy system AI integration succeeds with stable APIs, structured data and 99% uptime. Discover the essential preparation steps.
What is the transfer from AI assistant to human employee?
Discover how to optimize AI transfer to human employees for seamless customer service and increased satisfaction.
How do you protect customer data in AI assistant implementation?
Discover practical steps for GDPR-compliant AI implementation with data minimization and secure vendor selection for optimal customer data protection.