Omnichannel solution for calls, email, and chat
Most inquiries are routine. Automate all customer service channels strategically with one AI model.
One AI for every channel: deepassist is the Omnichannel solution
deepassist is the strategic Omnichannel solution that allows you to use one customer service AI exactly where you need it. No matter which channel. No matter which application. deepassist does not need to be retrained for a new channel or use case. That means you can use the same knowledge base for customer service across all applications.
Automated e-mail routing for improved categorization
Automating categorization with AI tools offers clear advantages: deepassist distinguishes with high precision and fine granularity between any number of topics in incoming emails. It does not rely only on keywords. It works on the semantic context of the inquiry. Employees can focus on more valuable tasks, while customers can send all requests to one central address.
Email hyperautomation to free up time for more valuable work
With deepassist, email inquiries can be automated end to end. Our semantic AI distinguishes precisely based on the context of the request. Process-relevant data such as customer numbers or contract numbers is extracted automatically from the text. Tickets can be prepared for final handling by an employee or even processed fully automatically. That way, a large share of inquiries can be automated while employees focus on more complex tasks.
Automating customer service with Generative AI and human control – the best of both worlds
Requests are recognized in a transparent way, i.e. using Explainable AI. Based on this, the answer to the question can be automated: The relevant information is retrieved from the company’s knowledge base and made available to a Large Language Model (LLM). This enables the LLM to formulate a relevant, personalized answer, which is then checked and sent by employees (‘Human in the Loop’).
Automate customer service with call routing – so all requests can be received by one number
“Welcome to customer service! How can we help you?” Thanks to deepassist’s intelligence, it is possible to start the conversation with an open question. Regardless of whether callers describe their request with just one word or a detailed description, deepassist is able to understand them precisely and can differentiate between 5, 500 or 5,000 different requests. Routine requests can be automated in this way, while more complex questions are forwarded to the appropriately trained employees. This gives you control over your call flow and an optimized FCRR.
Automate your customer service
Let’s plan together how deepassist can best be integrated into your phone, email and chatbot system.
Voicebot – automate the accessibility of your company
deepassist acts as the central intelligence for voicebots and offers an efficient solution to the problem of permanent telephone availability. By automating the voicebot, it is ready for use at any time to process routine requests such as meter reading reports or changes to budget billing plans quickly and accurately. This not only increases availability for customers, but also significantly reduces the workload of the customer service team.
Agent augmentation, automating customer service support
deepassist offers real-time support for agents on the phone. It helps them to implement the necessary steps correctly and efficiently. During the call, the AI suggests suitable business processes. The extraction and processing of relevant information from knowledge databases (e.g. car license plates) can be automated. This eliminates the need for agents to type, allowing them to concentrate fully on the conversation and solving the problem.
Virtual Assistant – Automating customer service for sustainable relief
deepassist enables dynamic and natural dialogues that are specifically tailored to the context of the respective organization. Large Language Models (LLMs), such as ChatGPT, can be used to further improve the customer experience. Due to these technological advances, it is likely that customers will adapt their behavior and use virtual assistants more and more in the next three to five years. Ultimately, this will also bring relief to customer service teams and further automate service processes.
