Auto-prioritization, better skill-based routing and live internal notes for agents in Zendesk. Let Lang.ai supercharge your support team, thanks to our AI engine that tags tickets in real-time.
A visual way to structure your data. Set up Lang.ai to save days of work from your team and your customers. Our platform surfaces relevant concepts so that you can adapt it to your process in a fast and transparent way.
We surface key relevant concepts only from your own private data using unsupervised AI.
You decide which concepts are relevant for your business and group them into tags that will apply in real time.
Our platform works in real time to tag your data instantly and surface new concepts so that you focus on serving your customers.
Instant connection to your data and transparent results in minutes with no need of any technical knowledge.
“A lot of decisions are based on the KPIs we define using support data. Before Lang.ai, there was ambiguous categorization as agents were analyzing similar tickets with different criteria. With Lang.ai, you’re making decisions with more confidence. Once we started using Lang.ai, we realized auto-categorization is an enabler for other processes like prioritization or setting up internal notes for agents which has been super useful”
“Lang.ai's technology allows us to automate the classification of our new customer calls. At the same time, we can improve the commercial skills of our agents, based on the analysis. Now our processes are more efficient and profitable for the company while we improve our customer experience.”
“It helps us to reduce back-office costs because we can filter data that we don't need to tag. It also helps to design our tagging job in a faster way as we can have an overview of a dataset.”
“From our point of view, Lang.ai's tool is very interesting because it can be managed from non-technical (i.e. AI engineers) areas. This is a quality leap because our current text analytics tools are used by data scientist teams. With Lang.ai, we can progress in the data-driven transformation because we can extend insights generation to the business units that with Lang can now focus on improving and automating their processes.”