An automation AI for customer support teams

We automate tasks that take you and your team hours each week. Our AI customer support suite automates ticket tagging, auto-prioritises and routes tickets accurately, and completes a whole host of intelligent tasks that boost CSAT and reduce operating costs.

Customer support ticket analytics and insights using AI automation

Trusted by the customer service leaders of the world's most loved companies

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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.

2/ Granular: Tags get to the root cause of the topic.

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.)

Better and more efficient

AI Customer Support | Automate workflows & tagging

Automated ticket tagging

Get better 'reason for contact' insights from your tickets and report them in minutes with our support analytics platform.

Auto-suggest template responses

Reduce errors and speed up response times with intelligent template suggestions.

Auto-suggest template responses
Route tickets to the right team

Route tickets to the right team

Blast through queues by getting requests in front of the right team instantly.

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  • Tags become outdated so insight is missed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

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.

How does AI customer support reduce costs?

AI customer support augments your team's abilities. The human element is essential to quality customer support, it requires empathy and problem-solving skills. So, when it comes to AI in customer service, the most powerful softwares do not aim to replace customer service agents, but aim to improve their productivity.

Menial tasks like tagging, routing and prioritise tickets can be automated easily with the latest developments in AI. Everything task that's automated shaves off 5-10 seconds per customer enquiry—which adds up quickly. With an effective automation suite, you can reduce employee headcount and still provide an excellent customer service experience, simply because each agent can solve more customer problems in a shorter time.

AI-powered support ticket analytics enable more powerful cost reductions. Our analytics uncover trending friction points which can be used to prioritise product, technical and operations roadmaps. By fixing the largest issues first, companies tackle customer churn and directly improve bottom line growth.


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Things to Know Before Buying AI

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How to Setup Your Ticket Triage

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Machine learning ticket tagging

Machine learning vs. Keyword tagging

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Try SentiSum today

Democratise voice of the customer insights across your company

Free 2-weeks trial