If an enterprise chatbot is going to handle customer data – such as payment details, full names or addresses – it must be built entirely in-house or on a secure platform.
2) multiple use cases
The most effective enterprise chatbots are deployed across different use cases, not limited to a single purpose.
If a customer service chatbot is a success, why not use the same AI technology to qualify potential customers or train new employees?
While many chatbot platforms specialize in singular use cases, we've found that our enterprise customers are much happier when they get the most out of their enterprise chatbot platform by expanding the scope of their AI implementation.
3) synchronization with internal sources
Business chatbots need to be synchronized with a company's internal data (such as product stock or HR policies), as well as with the most useful systems (such as a CRM) to maximize their effectiveness.
If a chatbot does not integrate properly with existing systems, it becomes an extra step for customers or employees, rather than an automation of existing workflows.
Enterprise chatbots almost always use augmented retrieval generation (rag) to ensure that their results are based on business information. Using rag reduces the risk of hallucinations (i.e. a chatbot sharing inaccurate or misleading information).
Common use cases for enterprise chatbots
The use cases for businesses are endless: as long south korea mobile phone number as your platform is extensible, you can configure an AI chatbot to do anything.
But
customer service
customer service interaction illustration on red background.
The most common use case for an enterprise chatbot is a customer service bot. because?
Customers expect 24/7 support.
Customers are more satisfied with personalized service.
Companies need to offer multilingual services.
They also reinforce the behind-the-scenes work of your customer service team. Enterprise chatbots act as additional customer service agents, even making changes directly to a CRM, allowing your customer service team to spend more time on high-level tasks.
Human resources
illustration of woman sitting at a blue desk.
Internal chatbots are equally common in companies. Larger workforces increasingly need tailored digital communications.
An AI business chatbot for HR can:
explain policies and procedures
process vacation requests
scheduling employees for shift work, such as retail and hospitality
facilitate training
register complaints
book meetings
HR chatbots are capable of reducing the repetitive tasks required by HR representatives. Beyond repetitive tasks, a business chatbot can even remember previous conversations and provide personalized advice for specific employees.
For example, one of our partner organizations deployed a chatbot that handled vacations and scheduling. The AI chatbot learned to predict when employees would call in sick or ask for more days off, and was able to plan ahead.
IT support
illustration of man in yellow shirt at a desk.
Unlike customer service and HR, IT robots can be customer- or employee-facing.
