Categorize support tickets

Supercharge your customer service tool

Levity allows your customer service agents to spend more time on important customers by automatically tagging incoming service requests.

Supercharge your customer service tool

Why bother?

The majority of customer support tickets are repetitive. Yet, many customer service agents still spend time manually answering them.

Since there's often no clear prioritization or topic-bundling in place, service reps are forced to either manually label tickets or have an unstructured workday.

The results are frustrated employees, messy databases, and a slow customer service response time.

You can streamline this process with Levity.
Our software automatically tags incoming tickets depending on the subject and the body of the request using AI.

Say goodbye to poorly performing keyword-based solutions and choose between our intelligent pre-built templates for sentiment analysis, urgency, or language detection. Or build your own model to detect products, departments, or other things specific to your business.

All done quickly from a visual interface – no programming required.
Levity helps enhance your customer service experience and paves the way for additional automation.

Trusted by leading teams

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Reduce your backlog and take charge of your processes

Employees spend a ton of time on rerouting tasks
Delegate tasks based on expertise – instantly
Urgent requests disappear into the mountain of data
Handle situations with the right mindset in real time
When everything is important, prioritisation becomes difficult
Automated ticketing creates easy communication, keeps you organised and solves problems.

Automate what you couldn't automate before

Levity starts where rule-based automation ends
The next wave of automation software

Time value of money

Automate manual, mundane sorting tasks

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Proactive management

Be proactive – respond to high-priority tickets in real-time

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Set the right goals and enjoy seamless integration

Rise above mundane tasks

Get started


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