Qualified employees should solve qualified problems and not waste a huge portion of their capacity with pre-qualification of respective problems.
A company that starts seriously with digital transformation will face the challenge that there will “pop-up” a lot of projects. In this case described here, due to strategic goals like implementing AI and Big Data Analysis, there was high demand to pre-qualify projects e.g. regarding risk assessment. So, the customer needed to transform their legal process and find a cost-effective solution, that is scalable on demand to pre-qualify new projects.
Necessary pre-qualification is optimized by a Conversational AI guiding the employee through the process
The solution provider used the existing questions and evaluation logic structure to create a Conversational AI survey and evaluation chatbot that is now used to pre-qualify projects e.g. regarding risk assessment. The chatbot collects all the data in a conversational manner and reacts to the user input. The chatbot is capable of analyzing the data and providing a unique response/evaluation. For this solution there was no coding necessary and all necessary features were out of the box ready.
As a result, productivity gains of qualified employees in this process by a factor of 10.
Evaluation logic is set up as a second instance technically. From user perspective it is one chatbot. In order to scale change management content and logic wise as well as new built-outs, we created the system in a very modular and variable driven approach.
Where is the data stored?