Highlight
Successful together – our valantic Team.
Meet the people who bring passion and accountability to driving success at valantic.
Get to know usMay 5, 2020
It fits perfectly into the infrastructure expansion in the area of fibre optics and 5G. It not only changes the customer experience, but also makes every day work easier as a practical application: The digital assistant. An expression of the advancing digitalization.
Especially in challenging times such as the current Corona pandemic (COVID-19), it would be crucial to ensure business processes even with reduced capacities. For this problem we would like to present you our solution approach: Our Valentina, which, similar to Siri, Alexa & co, supports the sales department in handling time-consuming administrative tasks.
In addition, there are further possible applications for a digital assistants: Beginning with customer support, through e-commerce to the use in sales. Because it is not only in the current situation that an automated peak load management is important in order to serve internal and external customers satisfactorily or inform them. The digital assistant can help to answer frequently asked enquiries efficiently and thus creates freedom, which in turn provides your employees more time for additional valuable topics.
For instance, call centre would serve a central contact point for the customer. Nevertheless, customer services are faced with three further challenges in solving customer’s issues: Ensuring accessibility, keeping waiting times to a minimum and imparting knowledge.
Customer service should be as easy and as long as possible to reach. However, ensuring this availability, keeping waiting times short and absorbing peak loads is complex and expensive from an organizational and personnel point of view.
For offering customers a suitable solution, customer service must ensure a certain knowledge span. Call centres usually cover a wide range of topics. However, this knowledge is usually not available in depth, so that the customer has to be referred to a contact person from 2nd or 3rd level support. As a rule, he will then have to explain himself again. In the worst case his problem remains unsolved.
These everyday challenges in customer service are a good way to show where conversational AI can be put to good use. In this case, conversational AI in the form of a chat or voice bot, which acts as a supplement to 1st level support. The digital assistant such a bot represents the customer’s first point of contact in the support process and is connected to all relevant systems.
Advantages of chat bots
Mostly it is recurring inquiries (FAQs) that take the time away from the service staff to deal with more complex questions. As the first point of contact for the customer and through the integration of all relevant systems, the bot is able to intercept repetitive requests and answer them satisfactorily, so that they do not have to be processed by the human agent. As a result, service staff have more time and energy to deal with more complex customer dialogues. At the same time, the customer is helped faster.
If the bot cannot answer a customer inquiry, it forwards the customer to a service employee. Since the bot and the service employee access the same system, the bot automatically provides the agent with all the important information that the customer has already described about his problem.
Increase self-service rate with bots
Where “Net Promoter Score” and “Call Deflection Rate” were the gold standard for evaluating good customer service some time ago, in recent years the self-service rate has become a quality criterion for individual freedom in the customer service of telecommunications providers. FAQ sections are not new and still have a right to exist. But with conversational AI, the dynamic of self-determined problem-solving approach increases. A chatbot, for example, which is connected to all systems relevant to its area of responsibility, can be used much more flexibly. Where with the classical FAQ the unfolding of the answer was the maximum of interaction, with the chatbot real joy arises in this point. In addition, it can not only answer more questions in breadth, but can also provide this information with greater depth.
Customer Experience August 27, 2026
Interview: How manufacturing stays digitally visible and AI-relevant
In the manufacturing sector, purchasing decisions are increasingly being made before the sales team is even involved. Designers, planners, maintenance technicians, and buyers conduct online research—and are increasingly receiving AI-generated responses. How can marketing teams at manufacturing companies ensure digital visibility and AI relevance? Answers and recommendations from the Manufacturing Practice.
Interview: How manufacturing stays digitally visible and AI-relevant
Artificial Intelligence August 26, 2026
From pilot to real value: scaling Claude successfully across your organization
Scaling Claude Across the Organization: Why 95% of AI pilot projects fail to deliver a return on investment—and how to turn licenses into daily, measurable usage.
From pilot to real value: scaling Claude successfully across your organization
Digitalization Services August 20, 2026
How many spreadsheets does it take to answer one HR question?
HR teams spend hours every day stitching data together across disconnected systems — 77% say integrating people data is one of their biggest analytics challenges. Discover what real, unified people analytics looks like, and how choosing the right HRIS turns scattered snapshots into one source of truth.
How many spreadsheets does it take to answer one HR question?Don't miss a thing.
Subscribe to our latest blog articles.