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AI Assistant, an intelligent assistant for contact center agents, helps reduce repetitive tasks from customer conversations. From summarizing key points and drafting responses to preparing follow-up information and accelerating post-call tasks,
agents no longer need to manually take notes, type summaries, or prepare information. The AI Assistant processes conversation data and provides ready-to-use information, allowing agents to focus on customer care and reducing time spent on post-call tasks.
Generally, a contact center agent’s tasks, in addition to interacting with customers, include verifying information, noting key points, drafting responses, recording data, and preparing follow-up documents.
AI assistants can reduce these steps by analyzing information from conversations, especially voice transcripts, and assisting agents in preparing these tasks.
Summarize key points from a conversation.Summarize key information such as the reason for contacting, the problem, the information provided, and what needs to be followed up. This helps reduce the time spent reviewing or revisiting the conversation.
Provide guidance on how to answer the agent's questions, suggesting contextual response guidelines to help the agent respond quickly and consistently, and allowing them to review or revise before submission.
I can help prepare follow-up tasks, drafting emails, chat messages, or follow-up messages based on the context of the conversation.
Summarize the key points from the conversationand identify the next steps, such as sending a quote, calling back, scheduling an appointment, opening a ticket, or forwarding the matter to the relevant team.
Suggest the next steps and appropriate actions, such as Send Quotation, Schedule Follow-up, Escalate Support, Create Ticket, or Update Customer Information.
Help prepare project closing information, including summary, call reason, outcome, and next action before handing it over to AI wrap-up or CRM.
These two functions are closely related, but they play different roles.
| AI Assistant | AI Wrap-up |
| Help the agent with their work. | Handle post-graduation tasks. |
| Please summarize the information. | Create Wrap-up Data |
| Please draft the answer. | Specify the call reason/outcome. |
| Introducing Next Action. | Create Disposition / Wrap-up Code |
| Please prepare for the follow-up. | Record information in CRM / Ticketing. |
| Agents use this for their work. | The automation system continues to operate. |
Voice transcripts are the source data for AI assistants when customers and agents converse.
Having a transcript allows the AI assistant to understand the details of the conversation and use that information to continuously assist agents in their work.
| Customer Service | Sales | Technical Support | Complaint Handling |
The customer called to inquire about changing their package.
AI Assistant helps: | The customer is interested in the product and wants a price quote.
AI Assistant helps: | The customer called to report a problem.
AI Assistant helps: | A customer called to complain.
AI Assistant helps: |
| Voice Agent | AI Assistant |
| AI talks to customers. | AI assists human agents. |
| Answer the call on behalf of someone else. | Work in support of the agent. |
| Answer customer questions directly. | Provide the answer to the agent. |
| Work and interact with customers. | Work and interact with agents. |
| Transfer to a human agent when necessary. | Working with agents. |
AI assistants are ideal for contact centers where agents handle large amounts of data during and after conversations, especially for organizations looking to reduce average handling time and after-call work, as well as enabling new agents to work faster with AI support. For example:
AI assistants should function more as “assistants” rather than making decisions on behalf of agents. In all cases, agents can still review, edit, or choose whether to use the suggested response, summary, or next action recommended by the AI. This allows organizations to gain speed from AI processing while employees retain control over critical workflows.
Not only does it understand conversations, but it also helps agents move forward immediately.
AI Assistants use conversational data to assist agents, from summarizing key points and drafting responses to preparing follow-up and suggesting next actions, reducing workflow steps and improving customer service continuity.
Reduce time spent on call confirmation, drafting responses, and follow-up tasks with AI Assistant, which helps agents prepare information for immediate action.
An AI Assistant is an intelligent assistant that supports agents during and after customer conversations. It can help summarize conversations, suggest responses, draft follow-up messages, and recommend next actions, reducing manual tasks and shortening after-call work time.
AI assistants can analyze data from conversations and voice transcripts to help agents summarize key points, prepare suggested responses, draft follow-up emails or messages, and recommend steps to take after speaking with a customer.
AI helps summarize calls by gathering key information from conversations, such as the reason the customer contacted, the problem reported, information already provided by the agent, the outcome of the conversation, and what needs to be followed up. This reduces the time agents spend taking notes or replaying recordings.
With AI Assistant, agents can suggest responses, or AI-generated answers based on the context of a conversation. These can then be reviewed, edited, and selected by the agent before responding to the customer, resulting in faster and more consistent responses.
The AI Assistant helps prepare the information agents need after closing a call, such as Conversation Summary, Call Reason, Outcome, Follow-up, and Next Action, reducing the time agents spend typing summaries and preparing information manually before closing the deal or submitting it to the CRM system.
AI Assistant focuses on assisting agents with tasks such as summarizing data, drafting responses, preparing follow-up, and suggesting next actions. AI Wrap-up, on the other hand, focuses on managing data after a call ends, such as creating wrap-up data, call reasons, outcomes, and dispositions, or forwarding data to CRM and ticketing systems.
Voice transcripts serve as source data for AI assistants. The AI analyzes the context of conversations between customers and agents to generate summaries, suggested responses, draft responses, and recommend relevant next actions.
The AI Assistant can help identify the next steps agents should take, such as sending quotes, providing additional information, making callbacks, scheduling appointments, creating service tickets, or forwarding requests to the relevant teams. It can also assist in drafting follow-up emails or messages to track customers.
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