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Journey is a breeze.


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manage no matter which direction you go.

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REDUCE OPERATIONAL BOTTLENECKS. AUGMENT YOUR CX TEAM WITH AI.

By delivering real-time tags into customer issues and sentiment, you can
automate manual agent tasks like tagging, routing or looking for solutions,
reducing response times by 75%.




DRIVE SUCCESSFUL PRODUCT CHANGES FROM CUSTOMER FEEDBACK

By eliminating manual CX data manipulation, you'll  stop focusing on the what to
focus on the why. Inform and help drive product changes based on specific pain
points and emerging needs you'll detect using Lang Data Platform.





ACCURATELY AUTO-TAG CUSTOMER FEEDBACK ACROSS CHANNELS— WITHOUT THE GUESSWORK

With tags adapted to your company and each channel, Lang will unify your
customer data and surface critical insights that enable your team to spend less
time figuring out what to do, and more time doing it





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1. CONNECT

Integrate all of your customer support systems in seconds.


2. CATEGORIZE


Visually group concepts that our AI surfaces from your data to build your own
custom categories or tags.


3. AUTOMATE

Effortlessly configure automations based on your own unique categories.


4. SCALE

Easily refine and maintain your categories and automations with intelligent tech
that identifies new categories as they arise.


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What our customers say about us
Kade C.

"This software gave my team HOURS back in their week"
What do you like best about Lang.ai? Lang.ai has been instrumental in helping us
stay on top of our incoming support tickets through the use of their ticket
routing and automation features. Can't imagine life without this service! What
do you dislike about Lang.ai? This isn't a dislike but more of an education
opportunity - automations are built on triggers within your CRM (for us
Zendesk), so it does require some technical knowledge out of the box to
understand how your existing triggers will impact or interfere. Their
implementation team was a HUGE help in making sure this step was crystal clear
and offering troubleshooting support. What problems is Lang.ai solving and how
is that benefiting you? Lang.ai offers an easy-to-use platform that allows
customer support teams to strategically route and respond to inquiries using AI.
This allows us to eliminate the guesswork when proactively addressing our users'
needs.
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Allie F.

"Must-have tool for customer support and product. (Don't bother using Zendesk
without Lang.)"
What do you like best about Lang.ai? Lang.ai is the best tool I have found for
both Customer Support *and* Product. I recommend them to everyone I know, and as
I always tell them: it's useless to use Zendesk without Lang. We're a young
company, and at first, I thought we might be too small to get sufficient ROI out
of their product. I couldn't have been more wrong. First, their incredible
auto-tagging (and therefore improved auto-responding) freed up our support
agents to focus on the things that matter most. But perhaps even more
importantly, the data we get from that better tagging structure is helping us
better inform our prodcut roadmap, and keeping the company more responsive to
customers than ever before. What do you dislike about Lang.ai? Nothing so far -
they themselves have the most incredible customer support team - they're amazing
to work with, and highly responsive with any questions I've had. What problems
is Lang.ai solving and how is that benefiting you? Their tech auto-tags tickets
with amazing accuracy. This allows for 2 critical things: 1. We can better
auto-respond, thus freeing up our agents' time so that they aren't having to
respond to our most common questions. We can also be more immediately responsive
to customers. 2. Because the tagging is so good, we can easily segment tickets
over any given time period and use that to be better responsive to customers. It
has allowed us to be more data-driven than ever, by quantifying qualitative
data. It's an incredibly powerful tool.
Read more
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Tony R.

"Easy to use, great results and an amazing team to collaborate with"
What do you like best about Lang.ai? Lang has really helped our support team be
more efficient overall. We utilize Lang to include internal notes and standard
operating procedures in tickets automatically, send automatic replies to
customers for standard two-touch tickets, get quantitative insights on what our
customers are saying and more. On top of that, the team is amazingly supportive.
Our customer success manager, Brianna, is always there to help out when we have
questions and the rest of the team has been amazing at getting us onboarded and
set up for success. What do you dislike about Lang.ai? No complaints at this
time! The team is amazingly supportive, responsive to feedback that we have, and
helpful throughout! Recommendations to others considering Lang.ai: So much bang
for your buck and so much potential What problems is Lang.ai solving and how is
that benefiting you? We're saving a ton of time across the board as an
operations team: - Lower average handle time on tickets with internal notes
guiding agents to answers based on customer context - Less human required
touches per ticket with automated messages to customers - Less time spent
manually tagging tickets and more time spent focusing on our customers
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Zahid Z.

"Lang is the data foundation for our support team"
What do you like best about Lang.ai? Lang automatically categorizes and
structures our support data giving our team a complete view of what our
customers are asking across all of our customer support channels. We had it up
and running for our initial use case on day 1, with little to no fine-tuning
required. The automation features like smart routing and prioritization save our
team a ton of time because they no longer have to deal with administrative tasks
when tickets come in and can simply start helping our customers, substantially
decreasing our ticket handle time. In addition, I can quickly source Fan
feedback insights to include in our client business reviews without burdening
the support reps directly. What do you dislike about Lang.ai? The UI is not the
friendliest and takes a little bit of time to get used to - it could do better
with overlapping clusters/filters to more easily drill down within the platform
itself. What problems is Lang.ai solving and how is that benefiting you? Lang
provides our support and product operations teams with a quantifiable way to
understand what event Fans are writing about, what questions our customers are
asking, and the topics that are trending for each customer. Internally, Lang
helps ensure that we have a real-time feedback loop from end-users to our
product organization as we innovate and develop game-changing products in the
live events industry. This has led to several opportunities for process
optimization and cross-functional collaboration at Lyte.
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Emma K.

"Lang.ai makes quantifying qualitative data easy."
What do you like best about Lang.ai? We work a lot with customer insights, and
previously it was difficult to determine how big of a problem something one of
our users wrote us was and if a team should allocate time to fix this problem.
But with Lang.ai we are now able to track how many tickets we've received on the
issue within a certain period and set aside resources to fix it. What do you
dislike about Lang.ai? Building a project when you want 80%+ coverage takes time
- but it's worth it. And how I wish we would be able to extract several tickets
in a CSV file (maybe sometime in the future! 🤞) What problems is Lang.ai
solving and how is that benefiting you? Lang.ai has impacted our support team's
experience with Zendesk. Lang takes care of everything from routing to automatic
tagging that the team uses to identify the essence of a lengthy ticket - they
also use it for internal notes on difficult operational tickets.
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Brian K.

"Deceptively simple yet powerful"
What do you like best about Lang.ai? What I like best about Lang is that it
takes a lot of the guesswork out of an Agent's hands so they can quickly reply
to a customer's request without needing to figure out what the request is first.
Lang can automatically apply contact tags, route tickets, automate first
responses (or more), and even automatically tell the agent what the best
practice is for a resolution by recommending language to use or SOPs. What do
you dislike about Lang.ai? I dislike that there is quite a bit of data
management to truly leverage the tool beyond the initial impact. Sure, you can
see value very quickly, but there is a sea of impact lurking below the surface
that needs to be unlocked. But that is a minor dislike. Recommendations to
others considering Lang.ai: If you do not have any sense of your support data,
Lang can take care of that right away. But if you already have a system in place
then be ready for a transition period where you switch from your data system to
theirs. But it is worth it in the long run. What problems is Lang.ai solving and
how is that benefiting you? Lang solves the universal problem of guessing what a
customer's request is about and tagging it accurately so that an Agent can
respond faster and to more requests. Data clarity is the most important element
of scale, and Lang solves that 100%
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"Lang is Transforming How We Support Our Customers"
What do you like best about Lang.ai? Lang makes it easy for us to identify
common trends amongst fans writing into our support queue, which helps us to
identify the priority of escalations and how to address them, who requests
should be assigned to based on category or sentiment, as well us provides us
with information which allows us to address the issues at the core to prevent
reoccurence. What do you dislike about Lang.ai? Nothing. So far, it has been a
great experience for us using Lang. What problems is Lang.ai solving and how is
that benefiting you? Identify commonalities across fan write-ins and create a
better process for triaging and resolving escalations. As mentioned above, Lang
helps us understand trends in not only topics/categories but also around the
sentiment of them and allows us to use workflows within Zendesk to route and
address those escalations accordingly. We can also run reports to understand
trends and use that as a team to make changes at the core to decrease write-ins
in real-time.
Read more
Posted on

Ben S.

"Lang.ai Is Now A Must Have Vendor For CX!"
What do you like best about Lang.ai? Lang makes tagging an absolute breeze and
gives me instant access to all the insights I could ever dream of. What do you
dislike about Lang.ai? Not much to dislike about Lang, but if I had to say
something, it would be making a more user friendly UI - not as intuitive as it
probably could be. What problems is Lang.ai solving and how is that benefiting
you? Automatically tagging tickets. Sharing insights with the broader team.
Read more
Posted on



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500
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32000 $
cost saved
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