Chapter
9
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minutes

Coach AI Agent with feedback

Now that you have reviewed the performance of AI Agent, you can improve it through coaching. Specifically, by identifying and filling gaps in knowledge (in Help Center articles, Guidance, and Actions), as well as providing feedback to improve the AI algorithm.

Give AI Agent feedback

When reviewing a ticket handled by AI Agent, you can:

  • See which sources AI Agent pulled from
  • Instruct the AI Agent to pull from other knowledge for similar questions in the future
  • Create additional Actions, Guidance, and Help Center content
  • Report issue to the Gorgias product team

We recommend setting aside at least one hour per week to review AI Agent’s responses — or more if your team has the bandwidth. Coaching is especially impactful when you get started with AI Agent, when you’ll find the most opportunities to create additional knowledge content and provide feedback.

More tips to improve AI Agent performance

On top of reviewing AI Agent’s conversations and rating the responses, you can improve AI Agent’s performance by refining your knowledge sources (Help Center and Guidance).

Here are some tips on how to approach refining your AI Agent:

Review the questions your shoppers are asking

Your AI Agent setup is only effective if it matches the questions your unique shoppers are asking. To understand this, you have two great options:

1. Review your top asked questions in Automate Overview

In your Automate Overview, under the your Performance data, look for the section Recommendations. These are the most asked questions in the past 90 days. 

You can click View All for even more recommendations. 

Cross-check these questions against your Help Center and Guidance knowledge content. If a common question is not covered in your knowledge content, then creating content about that questions is sure to boost AI Agent’s automation performance.

Automate statistics include automate rate, number of interactions, saved costs and time

2. Look into your Intents data

Another way to see what your shoppers are contacting you about is to head to Statistics and, under Ticket Insights, select Intents

Here, you can also see the reasons shoppers reach out to you:

A graph of ticket intents

One great advantage of this dashboard is that you can focus on certain time periods or channels. 

For instance, you can apply a filter to only see the top intents among Email and Contact Form messages. 

Similarly, you can apply a filter to see Intents data from November-January of the previous year, to understand how your Intents change during Black Friday—Cyber Monday to better prepare for the upcoming holidays.

Just like with your top questions from shoppers, you can cross-check this data with your current Guidance and Help Center content to see if there’s an Intent with a high volume that isn’t currently covered. Fill this gap in your knowledge content to automate those questions with AI Agent.

Focus on the tickets in your Handover View

While the above tip gives you a high-level sense of what customers are asking, it’s also helpful to see real tickets. This gives you visibility into why AI Agent may not be able to resolve a ticket — even if you have Guidance or Help Center content on the ticket’s topic.

The AI Agent Handover view isolates all the tickets AI could not resolve on its own — either because it did not have adequate information, or because it falls within a Handover topic.

Spend an hour each week going through the tickets in this View. Within each ticket, look for the reason the AI Agent handed it over – likely because:

  • The customer was angry (which will always be handed over)
  • The message included a Handover Topic
  • AI Agent could not find an answer in the Help Center or Guidance
  • The customer’s request required an Action that is not set up

💡 Tip: Limit your Handover topics to four or fewer. This helps AI Agent focus on the right tickets without extending handovers unnecessarily. Keeping it simple helps maintain a strong automation rate.

Let’s take a look at this ticket:

AI Agent responding to a customer asking to update their shipping address.

The customer wanted to update the address on a recent order. AI Agent correctly identified the customer’s order and was able to tell the customer that because the order is unfulfilled, an address update should be possible. However, after responding, AI Agent was handed over the request. 

By looking at the righthand bar, in the Ticket Feedback tab, you can see the resources AI Agent used — in this case, 2 pieces of knowledge but no Action. 

This ticket indicates you should set up the Update Shopify Order Shipping Address Action to fully resolve issues like this moving forward. 

Let’s look at another example — this time, where the problem is missing information in a Guidance:

AI Agent handing over a ticket to a human agent.

In this example, where the customers seemed to ask about upcoming discounts, AI Agent was able to correctly identify the topic but — as you can see in the right-hand Ticket Feedback section — it was not able to find any knowledge to use.

The agent was able to come in and let the customer know there are no current or upcoming discounts to share, and instead direct them to the brand’s Instagram page for future updates.

In this case, you could create a Guidance instructing AI Agent that when customers inquire about discounts when no active discounts are live, instead direct customers to follow the Instagram page. 

And when you do offer discounts, you can edit this Guidance to empower AI Agent to share the correct discount when appropriate.

Create new Views topics you’d like to Automate more

Earlier in this playbook, you set up Tags for AI Agent. Here’s a refresher:

AI ticket tagging

You can easily set up unique Views for AI Agent. 

For instance, let’s say your focus for the week is maximizing the number of WISMO tickets AI Agent can resolve. 

Since your AI Agent is tagging all tickets “for questions about order status” with the tag “wismo,” you can use this tag — as well as the ai_answered tag that always gets added when AI Agent responds — for a View:

Create a ticket view that only displays tickets labeled a particular tag.

You can also choose to apply the “ai_handover” tag if you’d only like the View to show tickets AI Agent was not able to resolve and instead handed over to your team. 

Keep your Guidance and Help Center up-to-date

The quality of AI Agent's responses is directly link to the knowledge you feed it. Detailed, high-quality Help Center and Guidance content will unlock better performance from AI Agent. Our data shows that brands with at least 10 Guidance and 20 Help Center articles see the highest CSAT on AI Agent interactions.

Use the tips above to zero-in on your knowledge gaps to make sure AI Agent has the information it needs to serve your customers.

📺 Having trouble improving your AI Agent’s performance? Register for our next AI Agent webinar.

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Frequently Asked Questions