Three AI service agents for Dynamics 365 Customer Service and Contact Center are now available in public preview: Case Management, Customer Intent, and Customer Knowledge Management agents. Collectively these agents learn to address emerging issues, uncover new knowledge, and automate manual processes to boost business efficiency and reduce costs.
With these autonomous agents, contact centers have the opportunity to improve their efficiency and enhance the customer experience. Agents can reveal valuable insights from seasoned customer service representatives using chat logs, call recordings, case notes, and other data sources. They can use these insights to improve self-service with automatically generated knowledge that evolves to meet potential customer issues.
Here is a quick overview of AI service agents:
Automate case management like never before
The Case Management Agent for Dynamics 365 Customer Service is designed to simplify and streamline your case management process. It also reduces handling time and improves customer satisfaction. The process of creating cases, updating details, following up with customers, and ensuring timely closures can be time-consuming and prone to errors. By automating these essential tasks, Case Management Agent reduces handling time and minimizes errors. It allows customer service representatives to focus on what matters most: solving complex customer issues.
You can seamlessly configure the Case Management Agent with your choice of attributes to meet your business needs. It automates key tasks throughout the lifecycle of a case, from creation to closure. Whether you’re managing live chats or processing incoming emails, this agent handles the details, so you don’t have to.
During customer conversations, the agent automatically creates a case, fills in relevant fields, and updates them as the conversation progresses. The agent tracks cases requiring attention, sends follow-ups, and even resolves cases autonomously when the customer issue is resolved.
From managing high case volumes to reducing average handling time, this agent makes life easier for your team.
Understand customer intent to provide elevated service
The Customer Intent Agent for Dynamics 365 Contact Center uses generative AI to analyze past interactions between customer service representatives and customers. Using this data, it creates an intent library that the agent uses to understand what the customer wants and provide tailored solutions to customer issues. While traditional chatbots and prompts require developers and support staff to update, the Customer Intent Agent updates itself continuously as it receives more data. You can use this agent in Dynamics 365 Contact Center for both self-service and service rep-assisted scenarios.
Evergreen self-service
Using the Customer Intent Agent, contact centers can enable their customers to self-serve in a transformative way. Instead of writing a specific menu of responses for each topic, contact center managers and IT professionals can let the Customer Intent Agent use past customer conversations across channels to determine how to answer a question. It uses case and conversation data to find appropriate follow-up questions to ask the customer to refine its understanding of the customer’s intent.
Supercharged service reps
When a conversation requires a service representative, the Customer Intent Agent provides valuable context and information so the service rep can give better assistance. It also helps service reps resolve issues in live chat and persistent chat with reduced handling times. Service reps have access to intent-based suggestions through the Ask a question tab in the Copilot help pane, and in the tab-to-complete suggestions in the conversation control. The intent agent uses the context of the conversation to display relevant intent attributes as questions for the service to ask the customer.
Build your organization’s knowledge with efficiency
The Customer Knowledge Management Agent for Dynamics 365 Customer Service helps your organization scale its knowledge with minimal effort from service reps. When admins configure knowledge management and knowledge sources, service reps can generate knowledge assets without spending time synthesizing case data to author them.
Clear, current, and accurate knowledge is key for service representatives to best assist customers. Contact centers that use Copilot to inform their self-service systems and service reps rely on a well-maintained knowledge base. Creating and maintaining knowledge assets is a time-consuming process. Service reps don’t always have time to put their learnings from cases and conversations into a knowledge article. Furthermore, to maintain good knowledge hygiene, a subject matter expert should check each asset in the knowledge base on a regular basis to ensure relevance and accuracy.
Organizations can use the Customer Knowledge Management Agent to autonomously create knowledge articles based on cases, conversations, emails, and notes. The agent also checks for existing assets with the same information in your knowledge base before creating a new one. Based on rules that administrators set, members of the organization can approve or reject these AI-generated knowledge assets. Admins can also decide whether to make this knowledge available for self-service in chatbots and IVRs.
Learn more about AI service agents
You can start using all three AI service agents now in paid public preview. Copilot Studio message capacity is required. Get started with autonomous service agents here: Autonomous agents overview
