A growing number of companies are investing in AI-based telephony solutions and AI receptionists to streamline customer service and improve accessibility. With the right solution, businesses can answer more calls, reduce telephone queues and provide customers with round-the-clock assistance. However, despite the potential, many organisations fail to achieve the impact they had hoped for.
Here are seven common mistakes companies make when introducing an AI receptionist – and how to avoid them.
1. Seeing the AI receptionist as a replacement for the human element
A common misconception is that an AI receptionist is meant to completely replace humans. In practice, the technology works best when used as a complement. AI can quickly handle recurring questions and simpler matters over telefon, while customer service agents can focus on more complex or business-critical dialogues.
When AI and humans work together, companies can both increase availability and raise the quality of service.
2. Automating the wrong types of calls
Not all phone calls are suitable for automation.
An AI receptionist works best for matters that are:
- recurring
- easy to structure
- possible to solve with clear answers
Common examples include questions about:
- opening hours
- bookings
- delivery status
- invoices
- general information
When companies try to automate more complex dialogues, the result instead risks generating more frustrated customers and more unresolved issues.
3. Underestimating the importance of the right knowledge base
An AI receptionist relies on good information to be able to provide relevant answers. If the knowledge base is unclear or incomplete, the AI solution will not be able to help customers effectively.
To succeed, businesses need:
- map the most common customer queries
- organise one's information
- continuously update the knowledge base
The better information the AI receptionist has, the more queries can be resolved directly at the first point of contact.
Focusing more on technology than on customer experience
Many AI projects are driven by a goal to reduce costs or call volumes.
But an AI receptionist must first and foremost work for the customer.
The customer must be able to quickly:
- get an answer to one's question
- resolve their case
- transfer to a human if necessary
When AI is used to make service easier and more accessible, it creates real value – for both the customer and the company.
5. Trying to automate everything from the start
Another common mistake is trying to build an overly advanced AI solution right away. The most successful implementations instead start by automating some of the most common customer service queries.
For example:
- recurring requests for information
- bookings
- status questions
When the solution is operating stably, it can then be developed further to handle more types of cases.
6. Not analysing the calls
An AI receptionist generates large amounts of valuable data about customer questions and behaviours. Companies that do not analyse this information miss out on important insights.
By continuously analysing the conversations, you can:
- improve the responses from the AI solution
- identify recurring problems
- optimise customer service processes
In this way, the AI receptionist becomes not only a tool for automation, but also a source of business insights.
7. Not integrating the AI receptionist with customer service
To create a seamless customer journey, the AI solution needs to work together with other systems.
When an AI receptionist is integrated with, for example:
- telephony platform
- case management
- CRM
can it provide more relevant answers while ensuring that customers quickly receive the right help. The result is more efficient customer service and a better customer experience.
AI receptionists are a tool for better accessibility
When the technology is used correctly, an AI receptionist can improve both accessibility and efficiency in customer service.
Companies can:
- answer more calls
- reduce telephone queues
- help customers faster
- offload customer service representative
The key is to see AI as part of a well-considered customer service strategy, where technology and people work together to create a better customer experience.