Integrate all of your customer support systems in seconds.
Visually group concepts that our AI surfaces from your data to build your own custom categories or tags.
Effortlessly configure automations based on your own unique categories.
Easily refine and maintain your categories and automations with intelligent tech that identifies new categories as they arise.
“When we onboarded Lang, we were a team of 2 support agents, including myself, and just setting up our Zendesk instance to our needs. While we’ve scaled the business massively over the past year, we're always thinking through how we scale operationally without throwing more people at the problem. Lang is able to handle many of the most time-consuming tasks like tagging, routing to the right team of agents and handing playbooks to our agents. We even have leaders from our Product team leveraging Lang regularly to understand what customers are saying about our beta launches and use that to ship our next iterations faster.”
Lang.ai is just so nimble and has so much potential once you start using it. Out of the box, it took us two days to make automated tagging 15% more reliable than a previous platform that we had had in production for 2 years, with the added benefit that now all of our teams can tap into and exploit our support data.
The marketing team has built workflows to understand key customer moments, our data and analytics team is super excited about having all these new tags in Snowflake and it’s crazy how easy it is to use. We have now promoted a person from our quality control team to work in Lang.ai full-time and she is super excited to be one of the first in their community of Citizen NLP Builders.
Lang.ai has an impressive product that we saw early on could be used as an intelligence layer on top of all our free-text data to create our classification models. The fact that they have such an accessible UI that our CX team loved was a great signal for us to buy it from the office of the CDO so that every business area can leverage it.
We’re also excited about how we’ve been working closely with the team on their governance roadmap as their goal of making NLP accessible is proving that the amount of users and projects can grow quickly