Use generative AI-powered email conversation overviews and suggested responses - Amazon Connect
Email conversation overviewKnowledge base and guide recommendationsGenerated email responsesActions agents can take on all proactive responsesConfigure generative email responsesBest practices to ensure quality responses

Use generative AI-powered email conversation overviews and suggested responses

To help agents to handle emails more efficiently, they can use generative AI-powered email responses. The email AI agents help agents provide faster email responses and more consistent support to customers.

When an agent accepts an email contact that is enabled with Connect AI agents, they automatically receive three types of proactive responses in their Connect assistant panel on the agent workspace:

  1. Email conversation overview. For example, it provides key information about the customer's purchase history.

  2. Knowledge base and guide recommendations. For example, it recommends as refund resolution step-by-step guide.

  3. Generated email responses

These response types are shown in the following image.

Three types of responses in the Connect assistant panel.

Email conversation overview

The EmailOverview agent automatically analyzes the email conversation (thread) and provides a structured overview that includes:

  • The customer's key issues.

  • Previous agent actions (if the email is a reply to another agent's reply on the same thread).

  • Important contextual details.

  • Required next steps.

This overview helps agents quickly understand the context and history of the email conversation without having to read through the entire thread. The EmailOverview agent focuses more weight on the current email message (contact) while maintaining context from the previous email messages in the conversation.

Knowledge base and guide recommendations

The EmailResponse agent automatically suggests relevant content from your knowledge base to assist your agent with understanding how to handle the customer's issue. It suggests:

The agent can choose Sources to view the original knowledge base articles from which the recommendation came from and choose the specific knowledge base article link to open a preview of it in their agent workspace.

The EmailResponse and EmailQueryReformulation prompts are used to generate knowledge base and guide recommendations.

Generated email responses

The EmailGenerativeAnswer agent automatically suggests a drafted response to the agent based on the context from the email overview and your knowledge base articles available. It does the following:

  • Analyzes the email conversation context

  • Incorporates relevant knowledge base content

  • Generates a professional email response draft that includes:

    • Appropriate greeting and closing

    • Response to specific customer questions

    • Relevant information from your knowledge base

    • Proper formatting and tone

When an agent chooses Reply all, they can:

  1. Select an email template to set the branding and signature for their response.

  2. Copy the generated response from the panel.

  3. Paste the generated response into their response editor, and either:

    • Use the generated response as-is

    — OR —

    • Edit it before sending

  4. If the generated response does not meet the agent's needs, they can choose Regenerate icon in the Connect assistant panel to request a new generated response.

These options are shown in the following image.

The agent workspace when an agent chooses Reply all to an email contact.

By default, the content copied from generated email responses in raw HTML format works best with Amazon Connect's rich text editor for agents responding to email contacts. To customize the output of this response, edit QinConnectEmailGenerativeAnswerPrompt as part of the QinConnectEmailGenerativeAnswerAIAgent to output the response in your preferred format (for example, plain text or markdown).

Important

You cannot use information from Amazon Connect Customer Profiles, Amazon Connect Cases, email templates, and quick responses in generated responses.

The EmailGenerativeAnswer and EmailQueryReformulation prompts are used to generate email responses.

Actions agents can take on all proactive responses

For all proactive responses shown when the agent accepts an email contact, the agent can:

  • Choose the Show more or Show less icons to expand and collapse the response shown in the Connect assistant panel.

  • Choose the Thumbs up or Thumbs down icons to provide immediate feedback to their contact center manager so they can improve the AI agent responses. For more information, see TRANSCRIPT_RESULT_FEEDBACK.

  • Choose Copy to copy the contents of the response. By default, the content copied from any of the responses are in raw HTML format to work best with Amazon Connect's rich text editor for agents responding to email contacts. To customize the output of this response, edit the prompts and agents to output the response in your preferred format (for example, plain text or markdown).

Configure generative email responses

Important

Generative email is for agent assistance with inbound email contacts.

If an outbound email is sent to the Connect assistant block within the Default outbound flow, you will be charged for the analysis of the outbound email contact. To prevent this, add a Check contact attributes block before Connect assistant and route the contact accordingly.

Following is an overview of the steps to configure generative email responses for your contact center.

  1. Initial set-up for AI agents.

  2. Add a Check contact attributes block to check it's an email contact, and then add the Connect assistant block to your flows before an email contact is assigned to your agent.

  3. Customize the outputs of your email generative AI-powered assistant by adding knowledge bases and defining your prompts to guide the AI agent with generating responses that match your company's language, tone, and policies for consistent customer service.

Best practices to ensure quality responses

To ensure the best quality response from Connect AI agents, implement the following best practices: