This new artificial intelligence venture wants to reimagine service management with automated service requests for employees. Startup Astound automates answers to frequently asked employee questions with a natural language-using virtual agent who responds via service portals, phone and platforms like Slack and Skype, serving to decrease call volume by 70%. The IT service management company uses machine learning and historical data to accurately prioritize and assign employee service requests. It also offers real-time, relevant recommendations on how to solve problems. The AI-driven platform for enterprise service will make workers more productive and companies more successful.
Automated service requests is a more strategic way of using technology in the workplace to problem-solve and satisfy employees.
All images are courtesy of Astound.
What Makes This Trend Stand Out
- Automated Service Requests
- Using AI to automate answers to frequently asked questions and decrease call volume by 70% creates an opportunity for disruptive innovation in the customer service industry.
- Natural Language Processing
- The ability for an AI-powered virtual agent to respond to service requests via natural language creates an opportunity for disruptive innovation in the chatbot and customer service industries.
- Machine Learning Prioritization
- The use of machine learning and historical data to accurately prioritize and assign employee service requests creates an opportunity for disruptive innovation in the IT service management and HR industries.
Sectors Adopting This
- Customer Service
- Automated service requests and virtual agents powered by natural language processing can revolutionize the customer service industry.
- Chatbots
- The use of natural language processing in virtual agents responding to service requests can lead to disruptive innovation in the chatbot industry.
- IT Service Management
- The use of machine learning to prioritize and assign service requests can lead to disruptive innovation in the IT service management industry.
