And the solution could look like this
Based on the circumstances and requirements of each company, we present the current possibilities of artificial intelligence and derive handling recommendations along usage and requirement analyses. We focus on 360° customer communication, analysis and handling of documents, files and business processes, as well as the analysis and processes based on production and financial data.
What exactly can artificial intelligence offer?
The identification of suitable use cases with QuickWin potential and coordinated pilot projects was possible with comprehensive consideration of queries in service centers with the analysis of texts and the analysis of production data for process optimization.
Efficient and personal customer communication
With the use of natural language processing (NLP) technology in combination with dialog systems, CENIT developed ChatBot systems – also referred to as conversational interfaces – to record a damage report for insurance companies or for the message and recording of service desk queries. In order to ensure that these solutions represent a query as well as a maximum technical benefit, additional AI-based microservices, such as image analysis, emotional analysis, language recognition, are used. With connection to systems for verbal communication, such as Amazon Alexa - reach can be extended and additional users can be integrated. The approach also factors in integration with existing systems and communication of queries to existing technical applications, as well as the aspects of scalability and safety. In summary, it is an important step towards 360° customer communication.
Structured, intuitive, high-performance document management
With use of systems for document management or for file and process editing, users repeatedly express the desired for very simple search options. This applies, in particular to users who only work with the systems occasionally or frequently research different content, with the requirement for a very intuitive searching capability.
Using AI-based services, for example, possibilities to formulate research requests in a natural language can be offered - and a structured search for document classes, file types or process types can be derived thereof. "Show me the files of Joe Bloggs" is equally uniquely identifiable for a trained components as the entry "Send this quotation to sales for review".
Reliable and practical analysis and prediction of events
The use of predictive and analytical solutions seems increasingly complex to companies and no longer implementable in the short term. However, because analytical methods and machine learning can be very beneficial for everyday problems, in analyses of production data, we were able to show: In the scope of our "predictive maintenance as a service" offering, the data for selected production steps or machines was sufficient to be able to make analytical deductions for a probability of failure or degree of use of individual components. Based on this prediction, maintenance intervals could be planned better and unexpected failures avoided. The advantages for the reliability, quality and resulting cost savings become apparent quickly.
These examples show how artificial intelligence can be used in business processes with an emphasis on utility and compatibility with daily practices.
This is made technically feasible based on micro-service platforms with flexible integration options. Consequently, pilot applications can be implemented quickly and efficiently in clearly protected data rooms and their potential benefits can be validated.
Introduce artificial intelligence smartly
We can do it together. Based on existing blueprints, the CENIT process module combines proven approaches from project management with agile, iterative methods. In the process, we can work with our customers in a practice-oriented manner to jointly identify and implement application scenarios that are suitable for the relevant business model. We will be glad to accompany you along the way.
