Highly granular AI tagging software

SentiSum's AI tagging software applies granular 'reasons for contact' to support tickets in real-time. We make insights from every ticket easy to access, so you can report on tags in minutes and drive company wide improvements.

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Customer support ticket analytics and insights using AI automation

"It's easy to setup and the insights are accurate. Every team has started using customer conversation insights!"

Director of Customer Service, +$50m revenue fast-growth company

What it looks like to use machine learning tagging in your customer support system

How it works

SentiSum is built using machine-learning based NLP. It's designed to understand and tag customer contacts in a way that's:

1/ Accurate: It tags based on meaning, not keywords.
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2/ Granular: Tags get to the root cause of the topic.
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3/ Real-time: Everything happens in milliseconds.

You can trust SentiSum tags to underpin strategic change across your business.

P.s. We cover 100s of languages and channels (even voice.)

About our tech

AI tagging software | Ticket tag plug-in

Report by ticket tag across every channel

With SentiSum's simple-to-use UI, you won't need technical know-how to understand the topic and sentiment of every support ticket.

You, or anyone in your team, can simply switch between contact channels, filter by topic or subtopic, and have instant access to granular AI tags across every contact channel.

AI tagging that powers auto-routing and prioritisation

There's no longer any need to rely on customer's self-tagging or an agent manually tagging tickets. Blast through queues by getting requests in the right inbox automatically, in real-time.

AI tagging that learns and identifies anomalies

Tickets can often get lost in a large queue, with SentiSum's AI tagging you'll never miss a high priority issue and our machine-learning will surface trending or anomalous support ticket queries..

Why replace your existing tagging system?

Most tagging systems take a lot of manual work or the insights can't be trusted to back up business decisions. Usually tags are inaccurate, inconsistent or generic, so customer support is like a black box.

Before SentiSum

Tags are broad and require manual digging
Tags become outdated so insight is missed
Tags are based on 'keywords' = inaccurate
Tags are applied inconsistently by agents
Reporting is still time-consuming

After SentiSum

Tags are granular and get to the heart of the issue
Tag taxonomies are continuously up-to-date
Tagging is machine-learning based = accurate
Tags are applied consistently to 100% of your tickets
Reporting is made simple with automation
Tags can be trusted to guide triggers, automations and company-wide improvements

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All your channels under one roof

SentiSum is a single source of truth. In one simple-to-use dashboard, you'll understand the topic and sentiment of every customer conversation, survey and review.

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How intelligent systems improve customer service

Intelligent automations, like AI tagging software, improves customer service in a number of ways.

Firstly, it allows you to leverage customer service data to understand issues facing your customers. Once you know what those issues are, you can start to fix them. This creates a beautiful feedback loop where, over time, customer service deals with less requests because your product and operations have been improved to the point where customers are, simply, happy.

Secondly, AI for customer service automations give back time to your agents. Agents with more time are happier and can spend more time talking to and engaging your customers.