Ticket Triage: How to Automate Triage With AI

Sharad Khandelwal
SentiSum CEO & Customer Service Expert
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In this article, we'll discuss the benefits of intelligent ticket triage, how to set it up, and how other companies have set up successful automated ticket triage processes.

What is ticket triage? And should you automate it?

Triage (or “routing”) is the process of evaluating and assigning the inbound customer support requests to an individual, team or queue location.

manual triage systems vs automated triage systems

The evaluation stage involves looking at the topic of the request and giving the request a topic tag.

The tag triggers that ticket to be routed or triaged to the right help desk queue, where it’s hopefully handled with the appropriate speed and urgency.

How to set up your ticket triage process

Here are 5 steps to consider when setting up your ticket triage system:

1/ Identify your goals

First decide what your priorities are. The goals you set now will impact your entire triage workflow, here are some examples to consider:

  • I want to replace the time my agents spend reviewing our support inbox with an automated system so agents can focus on giving great service.
  • I want to reduce first reply time to customers in “X” situation, because our CSAT surveys show they are most heavily impacted (this what James Villas did).
  • I want to prioritize customers who are already subscribed to our newsletter, because we know they’re more likely to purchase (this is what Organic Basics do).

Ask yourself:

  • What issues are most urgent to solve?
  • How can customer needs be better met with routing?

Whatever the issue you’re facing, or goal you want to achieve, list your ideas and how ticket triage might help.

goals of ticket triage

2/ Create a tagging taxonomy

Based on your goals, you'll need to build a tagging taxonomy.

For example, if your plan is to triage "really angry" customers to a high priority queue, you may want to implement a sentiment-based tagging taxonomy.

If your plan is to prioritized customers based on the topic of their request, you'll want to list those topics and common identifiers, then build a clear tagging taxonomy for your agents/automation to follow.

Read more in our guide to tagging taxonomy best practices.

3/ Decide what type of triage to setup

There are three types of ticket triage:

  • Manual - An agent reads every ticket, assigns it a tag and routes it.
  • Rule-based - Simple tags are applied and the ticket is triaged based on simple automation rules you set up.
  • AI-powered - Intelligent tags are applied and tickets are routed with a high degree of accuracy based on sentiment or topic at a granular level.

AI-powered triage leads to the most accurate outcomes, but you'll want to balance that with your budgetary requirements.

Here’s how to setup all three:

4/ How to setup manual triage

If you have a handful of tickets, consider dedicating this task to one agent per session.

Your agent must:

  • Read every ticket
  • Assign them based

They’ll read and assign new issues as they come in, so the rest of your team knows where to focus.

Top tip: Don’t ask customers to assign their own severity level. 

“One of the things most companies get wrong in their customer service analytics system is letting customer's self-report issues on forms. It causes inherent distrust in any subsequent analysis—support managers hesitate to share insights, other teams question the validity of them, and the self-tagging is too broad or inaccurate to be used to automate other processes like triage.”—Kirsty Pinner, Head of Product

5/ How to setup rule-based triage

  • First decide what factors will cause triage to trigger.
  • Will it be the email address? Channel it came in on? SLAs (e.g. it has gone unanswered for too long)? Topic? Sentiment?
  • Setup rule-based tagging
  • Implement routing based on those tags

Using Zendesk? Here’s a short guide from them on setting up rule-based ticket routing.

6/ How to setup AI-based triage

The most accurate triage system leverages AI tags. AI is the best tool to categorize support tickets in real-time without the support agent workload.

  • Decide what tags you want to apply (e.g. “severe sentiment” or “X topic”)
  • Implement routing rules
  • Monitor results

Sentisum integrates with most help desks to automate triage, and the platform is fully flexible to your needs.

Let's look at how other companies have implemented triage into their workflows.

Ticket Triage Example 1: How James Villas Used Ticket Triage to Reduce Response Time

In this interview, Johannes from James Villas. James Villas is a holiday rental company with thousands of hotels all over the world.

James Villas used AI-based ticket triage automation to handle a specific issue their customers were facing during the COVID-19 pandemic.

Hear from Johannes directly:

“Due to Covid-19 the travel industry had an influx in support tickets that made the management of our support operations extremely challenging. The team struggled with customers reaching out due to uncertainty, frustration, as well as necessary cancellations and travel date changes.
‍The challenge was to prioritize tickets in a way, so that urgent cases were handled as quick as possible so that our customers could travel at ease.
‍Unfortunately that was not always possible due to the sheer ticket volume, as well as complexity of the cases.”

In this example, Johannes took a topic that was particularly important—customers in high-frustration situations—and leveraged AI-tagging to automatically identify them in the queue, pull them out, and send them to the priority queue.

The result? James Villas reduced reply time to urgent requests by 46% points and increased CSAT +11%. 

sentisum tags

Another benefit mentioned by Johannes was that this freed up his customer service agents time to focus on what they do best: being human and empathising with customers.

Ticket Triage Example 2: How GoCardless use ticket triage to scale their customer support function

In a recent interview with Dimple Pattani, Head of EMEA Customer Support at GoCardless, she detailed how they managed to scale the support function alongside the rapid growth of GoCardless.

One of her key strategies was setting up a ticket triage function. As a company with 30,000+ customers, Dimple’s team deals with thousands of requests a day from customers.

They leverage ticket classification and automated triage to prioritize customer experience above all else.

At GoCardless, all support tickets come to one central location. A duo of dedicated agents then assesses and classifies each ticket to determine severity levels, applying the tags:

  • B1: If the severity (or difficulty level) is such that the customer must be guided by a human agent.
  • B2: If a knowledgebase article will likely solve the problem, but some hand holding might be needed.
  • B3: If no human intervention is needed, simply sending the right article will solve the problem.

Based on these classifications, support tickets are triaged to different severity queues. The benefits are felt on both sides.

For the company, automation can handle the repetitive, easy to resolve requests through self-serve. Agents are unlocked to focus on more interesting, complex requests.

For customers, a fast response is delivered by the appropriate mechanism. No more irrelevant automated links to an article.

Dimple’s team could take this entire process one step further by automating the severity classification process—saving the time of two full-time employees.

How SentiSum Automatically Prioritises + Triages Support Tickets

SentiSum's AI sits inside your help desk and automatically reads, tags, routes and prioritises every conversations based on your needs. See how it works here:

Book a full product tour with our team here.

Ticket Triage - FAQs

1. Why is ticket triage important?

Having a ticket triage process in place can lead to seriously valuable impact. It depends on the severity of the issue you’re currently facing and/ or how you choose to leverage ticket triage to drive results.

There are several high impact ways to prioritize your support requests with triage. They include:

  • Prioritizing customers currently in the process of purchasing your product. Grab ‘em before they abandon the basket.
  • Prioritizing customer requests that contain ‘danger topics’ like a customer with food poisoning (for Uber Eats). Get to these before they become a PR story.
  • Prioritizing particularly angry customer requests. Negative sentiment will be dampened by a fast response, or heightened by a slow one. Get to these before they become a bad review.
Why ticket triage is valuable expert quote

On the other hand, you could want to build a customer service team that specializes in certain product areas or issues. Triaging tickets to the right team gives every customer a faster and more skilled resolution.

2. What are the benefits of ticket triage?

Ticket triage is the process of categorizing and prioritizing customer support tickets based on their urgency and severity. Here are some of the key benefits of ticket triage in customer service:

  • Improved response times: By categorizing and prioritizing tickets based on their level of urgency, companies can ensure that the most important issues are addressed quickly. This can help to reduce wait times for customers and improve overall response times, which can lead to higher customer satisfaction.
  • Increased efficiency: Ticket triage can also help to improve the efficiency of customer service teams by ensuring that tickets are assigned to the appropriate team members based on their expertise and workload. This can help to streamline the support process and reduce the time and effort required to resolve customer issues.
  • Better resource allocation: By identifying and prioritizing tickets based on their urgency and severity, companies can allocate their resources more effectively. This can help to ensure that the most important issues are addressed first, and that customer service teams are not overwhelmed by a large volume of low-priority tickets.
  • Improved customer satisfaction: By addressing customer issues quickly and efficiently, companies can improve customer satisfaction and build stronger relationships with their customers. This can help to improve customer loyalty and reduce churn.
  • Enhanced data analysis: By categorizing and prioritizing tickets, companies can also gain valuable insights into customer needs and preferences. This data can be used to identify trends and patterns in customer feedback, and to make data-driven decisions about product development, marketing, and customer support.

Overall, ticket triage is a crucial process in customer service that can help to improve response times, increase efficiency, better allocate resources, improve customer satisfaction, and enhance data analysis. By implementing an effective ticket triage system, companies can improve their overall customer support experience and build stronger relationships with their customers.

Related Read: 5 Best Support Ticket Analysis Tools in 2024

3. Why am I triaging tickets in the first place? What criteria routes tickets to which team?

Most customer service teams triage in order to prioritize them.

Gone are the days of first come; first serve in customer service. With smart triage, you can prioritize requests in a way that makes sense for both the customer and company.

Perhaps some requests are full of angry sentiment, or perhaps they’re about a topic you want to handle really quickly—e.g. A customer is at the airport right now and needs something urgently. These criteria, paired with a dedicated ‘urgent’ inbox that is handled first, could have a huge impact on customer satisfaction.

4. Who triages the tickets?

Especially if you’re a large B2C company, at this point you might be thinking, “we have thousands of requests a day, who’s gonna evaluate all those tickets?”

Well, there are a few ways customer service teams tackle this problem.

  1. They pay two agents full-time to review each and every request. It’s time-consuming and boring, but the benefits are seen as worth it.
  2. They have the customer self-tag their request with a topic or urgency, based on this information the ticket is routed automatically. This is less time-consuming but is largely inaccurate and only allows triage based on topic. Zendesk has a guide on setting up automated triage in their platform here—but the feedback we hear again and again is how awful it is at the job (“inaccurate, inconsistent, painful”).
  3. They’ve automated ticket triage and prioritization with AI. AI works in real-time to categorize sentiment, intent and granular topics in incoming requests, which routes the ticket to any individual or team you’d like.
AI automation for triage

As an extremely repetitive, yet important task, we highly recommend automating the process with an AI triage tool for the most accurate, consistent and speedy results.

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Customer Sentiment Analysis FAQs

How is sentiment analysis useful? 5 examples of customer sentiment analysis

Here are 5 ways sentiment analysis is useful in customer service:

Prioritize customer issues:
Sentiment analysis can help businesses quickly identify and prioritize customer issues based on the emotional tone of their messages. This can enable customer service agents to respond promptly to unhappy customers and resolve issues before they escalate.

Personalize customer interactions: By detecting the emotional tone of a customer's message, sentiment analysis can help businesses tailor their responses to the customer's needs. For example, if a customer is expressing frustration, a customer service agent can respond with empathy and offer a solution to address the issue.

Improve customer experience: By providing personalized and efficient customer service, sentiment analysis can help improve the overall customer experience. Customers who receive prompt and effective solutions to their issues are more likely to remain loyal to a business and recommend it to others.

Analyze customer feedback: Sentiment analysis can be used to analyze large volumes of customer feedback to identify trends and patterns. This can help businesses identify areas for improvement and make data-driven decisions to improve their products and services.

Monitor brand reputation: Sentiment analysis can be used to monitor online mentions of a brand or product to detect negative sentiment and address issues before they become a larger problem. This can help businesses protect their brand reputation and maintain customer loyalty.

What is real time sentiment analysis in customer service?

Real-time sentiment analysis in customer service refers to the process of analyzing the emotional tone of customer messages or conversations as they are happening, in real-time. This enables businesses to quickly identify and respond to customer issues, prioritize certain conversations, and personalize interactions based on the customer's emotional state.Here are some examples and analogies to help understand real-time sentiment analysis in customer service:

Real-time monitoring: Real-time sentiment analysis involves monitoring customer messages or conversations as they are happening, in real-time. This is similar to a security guard monitoring a building in real-time for any signs of danger or security threats. Just as the security guard can quickly respond to any threats they detect, businesses can quickly respond to customer issues as they are identified.

Prompt customer service: Real-time sentiment analysis allows businesses to quickly identify and respond to customer issues before they become larger problems. For example, if a customer is expressing frustration about a product issue, real-time sentiment analysis can alert customer service agents to prioritize that customer's message for a quick response. This can help the business resolve the issue before it leads to a negative online review or loss of customers.

Personalized interactions: Real-time sentiment analysis can help businesses personalize their interactions with customers based on their emotional state. For example, if a customer is expressing happiness about a recent purchase, a customer service agent can respond with enthusiasm and congratulations. Conversely, if a customer is expressing frustration or anger, a customer service agent can respond with empathy and an apology. This personalized approach can help businesses build stronger relationships with their customers.

Improved customer experience: Real-time sentiment analysis can help improve the overall customer experience by providing prompt and effective customer service. Customers who receive quick and effective solutions to their issues are more likely to remain loyal to a business and recommend it to others.

Continuous monitoring: Real-time sentiment analysis can be used to continuously monitor customer messages or conversations, providing businesses with a wealth of data that can be used to improve their products and services. For example, if customers are expressing negative sentiment about a particular product feature, a business can use that information to make improvements and better meet the needs of its customers.

Overall, real-time sentiment analysis is a valuable tool in customer service that can help businesses quickly respond to customer issues, personalize interactions, and improve the overall customer experience.

What type of information do companies analyze when conducting sentiment analysis?

Here are the two overarching areas of customer information you can include in your sentiment analysis:

Text data: Sentiment analysis of text data is like analyzing a written letter to detect the writer's emotional tone. By detecting the emotional tone of customer feedback, customer service chats, reviews, or social media posts, companies can gain valuable insights into how their customers feel about their products or services.

Voice data: Sentiment analysis of voice data is like interpreting a person's tone of voice during a conversation to detect their emotional state. By analyzing phone calls or video chats with customers, companies can detect the emotional cues in a customer's tone of voice, such as frustration or anger, and provide a more personalized response.

What are the main goals of sentiment analysis?

The main goals of sentiment analysis are to gain insights into customer emotions and opinions, and to use these insights to improve customer satisfaction and loyalty. Here are some examples of the main goals of sentiment analysis:

Understand customer feedback: One of the main goals of sentiment analysis is to understand customer feedback and opinions about a product, service, or brand. By analyzing the emotional tone of customer feedback, companies can gain insights into what customers like and dislike about their products or services, and make improvements accordingly.

Improve customer experience: Another goal of sentiment analysis is to improve the overall customer experience. By understanding customer emotions and opinions, companies can address any issues or pain points and provide a better customer experience. For example, if sentiment analysis reveals that customers are frequently complaining about long wait times, the company can take steps to reduce the wait times and improve the customer experience.

Enhance customer engagement: Sentiment analysis can also be used to enhance customer engagement by identifying opportunities for positive interactions with customers. For example, if sentiment analysis reveals that customers are expressing positive emotions towards a new product or service, the company can engage with those customers to learn more about what they like and how they can improve the product or service even further.

Prevent negative customer experiences: Another goal of sentiment analysis is to prevent negative customer experiences by identifying potential issues and addressing them proactively. For example, if sentiment analysis reveals that customers are frequently complaining about a specific product feature, the company can address the issue before it becomes a bigger problem and affects customer satisfaction.

Monitor brand reputation: Sentiment analysis can also be used to monitor brand reputation by tracking what customers are saying about a brand, product or service on social media, review sites, and other online platforms. This information can be used to prevent a potential PR crisis and maintain a positive brand reputation.

Want to learn more about how SentiSum automates your customer sentiment analysis? Book a meeting with our team here.

Ticket Triage: How to Automate Triage With AI

Sharad Khandelwal
Sharad Khandelwal
CEO & Co-founder at SentiSum, Expert in AI Analytics

In this article, we'll discuss the benefits of intelligent ticket triage, how to set it up, and how other companies have set up successful automated ticket triage processes.

What is ticket triage? And should you automate it?

Triage (or “routing”) is the process of evaluating and assigning the inbound customer support requests to an individual, team or queue location.

manual triage systems vs automated triage systems

The evaluation stage involves looking at the topic of the request and giving the request a topic tag.

The tag triggers that ticket to be routed or triaged to the right help desk queue, where it’s hopefully handled with the appropriate speed and urgency.

How to set up your ticket triage process

Here are 5 steps to consider when setting up your ticket triage system:

1/ Identify your goals

First decide what your priorities are. The goals you set now will impact your entire triage workflow, here are some examples to consider:

  • I want to replace the time my agents spend reviewing our support inbox with an automated system so agents can focus on giving great service.
  • I want to reduce first reply time to customers in “X” situation, because our CSAT surveys show they are most heavily impacted (this what James Villas did).
  • I want to prioritize customers who are already subscribed to our newsletter, because we know they’re more likely to purchase (this is what Organic Basics do).

Ask yourself:

  • What issues are most urgent to solve?
  • How can customer needs be better met with routing?

Whatever the issue you’re facing, or goal you want to achieve, list your ideas and how ticket triage might help.

goals of ticket triage

2/ Create a tagging taxonomy

Based on your goals, you'll need to build a tagging taxonomy.

For example, if your plan is to triage "really angry" customers to a high priority queue, you may want to implement a sentiment-based tagging taxonomy.

If your plan is to prioritized customers based on the topic of their request, you'll want to list those topics and common identifiers, then build a clear tagging taxonomy for your agents/automation to follow.

Read more in our guide to tagging taxonomy best practices.

3/ Decide what type of triage to setup

There are three types of ticket triage:

  • Manual - An agent reads every ticket, assigns it a tag and routes it.
  • Rule-based - Simple tags are applied and the ticket is triaged based on simple automation rules you set up.
  • AI-powered - Intelligent tags are applied and tickets are routed with a high degree of accuracy based on sentiment or topic at a granular level.

AI-powered triage leads to the most accurate outcomes, but you'll want to balance that with your budgetary requirements.

Here’s how to setup all three:

4/ How to setup manual triage

If you have a handful of tickets, consider dedicating this task to one agent per session.

Your agent must:

  • Read every ticket
  • Assign them based

They’ll read and assign new issues as they come in, so the rest of your team knows where to focus.

Top tip: Don’t ask customers to assign their own severity level. 

“One of the things most companies get wrong in their customer service analytics system is letting customer's self-report issues on forms. It causes inherent distrust in any subsequent analysis—support managers hesitate to share insights, other teams question the validity of them, and the self-tagging is too broad or inaccurate to be used to automate other processes like triage.”—Kirsty Pinner, Head of Product

5/ How to setup rule-based triage

  • First decide what factors will cause triage to trigger.
  • Will it be the email address? Channel it came in on? SLAs (e.g. it has gone unanswered for too long)? Topic? Sentiment?
  • Setup rule-based tagging
  • Implement routing based on those tags

Using Zendesk? Here’s a short guide from them on setting up rule-based ticket routing.

6/ How to setup AI-based triage

The most accurate triage system leverages AI tags. AI is the best tool to categorize support tickets in real-time without the support agent workload.

  • Decide what tags you want to apply (e.g. “severe sentiment” or “X topic”)
  • Implement routing rules
  • Monitor results

Sentisum integrates with most help desks to automate triage, and the platform is fully flexible to your needs.

Let's look at how other companies have implemented triage into their workflows.

Ticket Triage Example 1: How James Villas Used Ticket Triage to Reduce Response Time

In this interview, Johannes from James Villas. James Villas is a holiday rental company with thousands of hotels all over the world.

James Villas used AI-based ticket triage automation to handle a specific issue their customers were facing during the COVID-19 pandemic.

Hear from Johannes directly:

“Due to Covid-19 the travel industry had an influx in support tickets that made the management of our support operations extremely challenging. The team struggled with customers reaching out due to uncertainty, frustration, as well as necessary cancellations and travel date changes.
‍The challenge was to prioritize tickets in a way, so that urgent cases were handled as quick as possible so that our customers could travel at ease.
‍Unfortunately that was not always possible due to the sheer ticket volume, as well as complexity of the cases.”

In this example, Johannes took a topic that was particularly important—customers in high-frustration situations—and leveraged AI-tagging to automatically identify them in the queue, pull them out, and send them to the priority queue.

The result? James Villas reduced reply time to urgent requests by 46% points and increased CSAT +11%. 

sentisum tags

Another benefit mentioned by Johannes was that this freed up his customer service agents time to focus on what they do best: being human and empathising with customers.

Ticket Triage Example 2: How GoCardless use ticket triage to scale their customer support function

In a recent interview with Dimple Pattani, Head of EMEA Customer Support at GoCardless, she detailed how they managed to scale the support function alongside the rapid growth of GoCardless.

One of her key strategies was setting up a ticket triage function. As a company with 30,000+ customers, Dimple’s team deals with thousands of requests a day from customers.

They leverage ticket classification and automated triage to prioritize customer experience above all else.

At GoCardless, all support tickets come to one central location. A duo of dedicated agents then assesses and classifies each ticket to determine severity levels, applying the tags:

  • B1: If the severity (or difficulty level) is such that the customer must be guided by a human agent.
  • B2: If a knowledgebase article will likely solve the problem, but some hand holding might be needed.
  • B3: If no human intervention is needed, simply sending the right article will solve the problem.

Based on these classifications, support tickets are triaged to different severity queues. The benefits are felt on both sides.

For the company, automation can handle the repetitive, easy to resolve requests through self-serve. Agents are unlocked to focus on more interesting, complex requests.

For customers, a fast response is delivered by the appropriate mechanism. No more irrelevant automated links to an article.

Dimple’s team could take this entire process one step further by automating the severity classification process—saving the time of two full-time employees.

How SentiSum Automatically Prioritises + Triages Support Tickets

SentiSum's AI sits inside your help desk and automatically reads, tags, routes and prioritises every conversations based on your needs. See how it works here:

Book a full product tour with our team here.

Ticket Triage - FAQs

1. Why is ticket triage important?

Having a ticket triage process in place can lead to seriously valuable impact. It depends on the severity of the issue you’re currently facing and/ or how you choose to leverage ticket triage to drive results.

There are several high impact ways to prioritize your support requests with triage. They include:

  • Prioritizing customers currently in the process of purchasing your product. Grab ‘em before they abandon the basket.
  • Prioritizing customer requests that contain ‘danger topics’ like a customer with food poisoning (for Uber Eats). Get to these before they become a PR story.
  • Prioritizing particularly angry customer requests. Negative sentiment will be dampened by a fast response, or heightened by a slow one. Get to these before they become a bad review.
Why ticket triage is valuable expert quote

On the other hand, you could want to build a customer service team that specializes in certain product areas or issues. Triaging tickets to the right team gives every customer a faster and more skilled resolution.

2. What are the benefits of ticket triage?

Ticket triage is the process of categorizing and prioritizing customer support tickets based on their urgency and severity. Here are some of the key benefits of ticket triage in customer service:

  • Improved response times: By categorizing and prioritizing tickets based on their level of urgency, companies can ensure that the most important issues are addressed quickly. This can help to reduce wait times for customers and improve overall response times, which can lead to higher customer satisfaction.
  • Increased efficiency: Ticket triage can also help to improve the efficiency of customer service teams by ensuring that tickets are assigned to the appropriate team members based on their expertise and workload. This can help to streamline the support process and reduce the time and effort required to resolve customer issues.
  • Better resource allocation: By identifying and prioritizing tickets based on their urgency and severity, companies can allocate their resources more effectively. This can help to ensure that the most important issues are addressed first, and that customer service teams are not overwhelmed by a large volume of low-priority tickets.
  • Improved customer satisfaction: By addressing customer issues quickly and efficiently, companies can improve customer satisfaction and build stronger relationships with their customers. This can help to improve customer loyalty and reduce churn.
  • Enhanced data analysis: By categorizing and prioritizing tickets, companies can also gain valuable insights into customer needs and preferences. This data can be used to identify trends and patterns in customer feedback, and to make data-driven decisions about product development, marketing, and customer support.

Overall, ticket triage is a crucial process in customer service that can help to improve response times, increase efficiency, better allocate resources, improve customer satisfaction, and enhance data analysis. By implementing an effective ticket triage system, companies can improve their overall customer support experience and build stronger relationships with their customers.

Related Read: 5 Best Support Ticket Analysis Tools in 2024

3. Why am I triaging tickets in the first place? What criteria routes tickets to which team?

Most customer service teams triage in order to prioritize them.

Gone are the days of first come; first serve in customer service. With smart triage, you can prioritize requests in a way that makes sense for both the customer and company.

Perhaps some requests are full of angry sentiment, or perhaps they’re about a topic you want to handle really quickly—e.g. A customer is at the airport right now and needs something urgently. These criteria, paired with a dedicated ‘urgent’ inbox that is handled first, could have a huge impact on customer satisfaction.

4. Who triages the tickets?

Especially if you’re a large B2C company, at this point you might be thinking, “we have thousands of requests a day, who’s gonna evaluate all those tickets?”

Well, there are a few ways customer service teams tackle this problem.

  1. They pay two agents full-time to review each and every request. It’s time-consuming and boring, but the benefits are seen as worth it.
  2. They have the customer self-tag their request with a topic or urgency, based on this information the ticket is routed automatically. This is less time-consuming but is largely inaccurate and only allows triage based on topic. Zendesk has a guide on setting up automated triage in their platform here—but the feedback we hear again and again is how awful it is at the job (“inaccurate, inconsistent, painful”).
  3. They’ve automated ticket triage and prioritization with AI. AI works in real-time to categorize sentiment, intent and granular topics in incoming requests, which routes the ticket to any individual or team you’d like.
AI automation for triage

As an extremely repetitive, yet important task, we highly recommend automating the process with an AI triage tool for the most accurate, consistent and speedy results.

Join a community of 2139+ customer-focused professionals and receive bi-weekly articles, podcasts, webinars, and more!