Automated tagging of support tickets and calls

AI built for business users. Fully customizable to help you evolve your tagging as you scale.

SUPPORT TEAMS IN ZENDESK

Your support's team
new best ally

Thanks to Lang automated tags, you'll have a consistent tagging criteria and you will never lose a new customer issue to tag. Let your team forget about repetitive tasks and become more efficient, faster and better in supporting customers.

CALL CENTER TEAMS

Get automated topic wrap-up in all your calls

Drastrically reduce admin time from agents and tag each segment of the call to improve conversion. Audit your processes to ensure your agents are following the scripts. Avoid manual classification errors when you are looking for insights.

PRODUCT AND CUSTOMER SUCCESS TEAMS

Quickly identify new bugs and customer problems

Never overlook a bug, a product request or potential customer problem again. Generate insights in minutes from your text data, whereas it's support tickets, calls, chats or surveys.

Empowering business teams
to compete in the age of AI

SMART

We surface key relevant concepts only from your own private data using unsupervised AI.

CUSTOMIZABLE

You decide which concepts are relevant for your business and group them into tags that will apply in real time.

SCALABLE

Our platform works in real time to tag your data instantly and surface new concepts so that you focus on serving your customers.

EFFORTLESS

Instant connection to your data and transparent results in minutes with no need of any technical knowledge.

Connected to your existing platforms

Connect Lang.ai in minutes with no technical knowledge required.

Zendesk

Lang.ai for Zendesk Support.
Real time ticket tagging.

See app

Intercom (soon)

Upcoming app in our roadmap.
Looking for early adopters!

Get in touch

Salesforce (soon)

Upcoming app in our roadmap.
Looking for early adopters!

Get in touch

Do you have a different platform? Get in touch

Roberto Tamayo

Social Media Manager at Vodafone

“We can understand, among the user's main conversational topics, which are the trending ones and prioritize its resolution based on Lang.ai's assigned tags.”

Jose Ángel Valles

Telesales Manager at Vodafone

“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.”

Iván Cruz

CTO at Yalo Chat

“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.”

Miguel Ángel Cordobés

Head of BI, Telefónica Business Solutions

“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.”

How is Lang different to other solutions

Product

No need for coding or AI knowledge to set it up

Learns and surfaces patterns from your own data without days training the system

Covers a high percentage of tickets with accurate results

Analysis with keywords

Tag tickets/calls with keywords

Inaccurate results
(can't capture language nuances)

Automated disposition

Help center disposition

Low % of coverage (only most common situations trained)

Automated tagging of tickets/
surfacing new tags