Operational and strategic efficiency turbo
AI ChatBot from EPS
AI ChatBot
Artificial intelligence (AI) has established itself as a megatrend in recent years and will have a lasting impact on the IT industry. But how can you actually use AI for your company?
A customized AI assistant or chatbot for business efficiency opens up fascinating possibilities. It breaks down language barriers, optimizes knowledge management and increases the efficiency of customer communication.
ChatBots transform internal processes
The following “best practice” examples will give you an insight into the diverse potential of chatbots. Please note that this is only a small selection – the possible applications are almost limitless.
Strategic data analysis for forward-looking decisions
Deploying a chatbot that accesses internal reports, market analyses, and customer data streamlines information flow and enhances decision-making.
Managers use the bot to identify trends, create forecasts, and make data-driven strategic decisions. Chatbots can perform complex data analyses, recognize patterns, and generate actionable recommendations that contribute to the development of forward-looking strategies.
Knowledge management and onboarding
By integrating a ChatBot with Confluence spaces, databases, and internal documentation, an IT service provider enables new employees to quickly access information and find answers to frequently asked questions. This streamlined process helps them get up to speed faster and adapt more efficiently to their new roles.
Customer service optimisation
With a ChatBot integrated into internal knowledge databases and product documentation, the production company simplifies how employees search for answers and resources.
Customer service employees can use the bot to respond quickly and accurately to customer enquiries.
Efficient information retrieval from internal sources
A logistics company implements an internal ChatBot that accesses SharePoint data and the transport management software. Employees can quickly retrieve information on deliveries, routes and customer orders without having to navigate through different systems.
Why an AI ChatBot?
Our ChatBot revolutionises how you receive and process information.
1. Honest communication
‘I don’t have enough information to answer your question’. The EPS ChatBot openly admits when it doesn’t know something. This reduces misinformation to a minimum.
2. Up-to-date information
The chatbot not only searches through archive data, but also accesses information that has just been saved. You receive answers that are up to date.
3. Reliable source
Answers are provided with a source reference. You can see where the information comes from and assess its credibility.
4. Security is a priority
With access authorisations, confidential data such as wages or personnel files remain protected.
5. Multilingual expertise
It searches information in different languages. Language barriers are a thing of the past.
6. Coming soon
Our developers are working flat out on a voice-controlled ChatBot for mobile apps. We’ll stay tuned!
How a customised ChatBot works for your company
An innovative AI solution transforms internal communication with a secure ChatBot. Find out below what features you can expect.
Find out more about our AI-powered chatbot solution
FAQ's
Answer quality - who assesses the quality of the answers?
We have developed a process that evaluates the quality of the answers with a score. The chatbot answers to questions from a question catalog defined with the customer are assessed. This list of questions is customer-specific and covers as many of the customer’s areas of application as possible. The test is carried out automatically and is repeated each time the chatbot algorithms are changed.
How do you ensure that the quality of the answers keeps improving?
The answer quality (see above) after each change to the algorithms is measured. We only release the changes if the quality score has improved.
How can the quality of the answers be prevented from deteriorating over time?
There is no automated “learning function” built. The answer quality does not change on its own
Are AD-Azure and Entra-ID Login also supported?
This is also supported. Currently, users have to log in to our chatbot with their Entra-ID login in order to use the chatbot.
How can it be guaranteed that the LLM does not violate the data protection guidelines?
The LLM models can be hosted on your own Azure OpenAI tenant. The Azure OpenAI service is GDPR-compliant and the data is not used to train new models. However, on-premise hosting would be best for highly sensitive data. This allows you to retain complete control over all data and its processing.
Does the bot support "artificial memory" for follow-up questions?
With every new input, the entire previous conversation history is transmitted to the LLM (e.g. ChatGPT). Therefore, the chatbot also knows and takes into account the previous prompts.
Users must be able to report incorrect or outdated answers, is there a feedback function for each answer?
We have created the option of automatically evaluating content based on its topicality and relevance. This should prevent outdated documents from being displayed if more up-to-date content is available. We are currently looking into the possibility of influencing this rating manually. It should be noted that if outdated content can be reported, a process must also exist to accept or reject the marking as “outdated/invalid”.
Can the ChatBot also be integrated into other applications? For example as a plug-in, APPI, widget, Teams, etc...)?
Yes, integration into other applications is possible. Implementation and effort would have to be checked and evaluated on a case-by-case basis.
What does the implementation of the chatbot cost?
Please contact us for this information.
Are the Chatgpt costs covered by the service contract?
We are in the process of putting together various service packages. We will communicate the prices at the end of July.
Do you have experience with the costs of self-hosting an LLM Ilama, deepseek?
A big cost factor for self-hosting is usually the purchase of a sufficiently powerful GPU. Which card is best suited for this depends above all on how many users are using the chatbot at the same time or how complex or large the LLM model to be hosted is. Discuss your requirements with us and we will work out a proposal for you, including a budget.
Is this a pure ChatBot or can it also handle images?
Yes, our chatbot can process both text messages and attachments such as images.
Can the bot generate individual reports, for example, if it has access to the ERP database?
In principle the chatbot can generate a report from all the data it has access to. How exactly the ERP system is connected – whether as a separate tool or by indexing the ERP data directly in the chatbot database – would have to be checked on a case-by-case basis and implemented accordingly.
Can a file server and local ERP system also be integrated? If so, what are the hardware requirements for the ChatBot?
It is possible to connect a file server and a local ERP system. The hardware requirements depend on the number of users and the model and should be checked individually. If the chatbot is hosted in the cloud, the provider takes care of resource scaling.
Do you only offer a complete solution or is the sale of connections to specific tools for an existing AI solution conceivable?
We are also very interested in offering chatbot services. Discuss your requirements with us and we will work out an offer for you.
