AI assisted virtual agent.
Watson Assistant recognizes intention in requests that can be received via multiple channels. Watson Assistant is trained based on real-live requests and can understand the query based on the acting AI context and intention. Large search queries are routed to Watson Discovery and seamlessly embedded into the search result. With each interaction, the solution gets better and can soon be used unsupervised in customer interactions.
Optimize the customer experience by providing fast, accurate, and always-on answers.
Watson Assistant is embedded in the existing customer interaction interface and is primarily designed to answer simple, recurring questions quickly, comprehensively and accurately. Customers avoid phone queues and human agents can focus on more complicated queries. This not only increases customer satisfaction, but also the response quality.
Definition of the use case
Our procedure is determined by the approach of first identifying the concrete use cases and challenges – technical and functional – with different workshops. Afterwards, the procedure and the selection of solution components are defined.
Identifying the effort
In the spirit of an agile project approach, it has proven useful to first create an "MVP" (Minimum Viable Product), which can be used to determine not only the technical feasibility, but also the technical effort required.
Know-how and expertise
We support our customers through broad know-how, intensive partnership with manufacturers and project experience.
We would be happy to advise you in a non-binding conversation and show you the potential and possible applications of IBM Watson Assistant for your company. Simply leave your contact details and we will get back to you as soon as possible.
