Zurich, Yokohama
Integration
Agent AI uses generative AI models to automate workflows, offer real-time advice, compose interaction summaries, provide dynamic playbooks for agent guidance, and offer live coaching to improve customer satisfaction and increase revenue. Key features includes:
- Next Best Action:
- Enhance customer experience: Next-best action tailors service for each customer by analyzing individual interactions and their unique profile to increase satisfaction, loyalty, and customer lifetime value.
- Offer value-added service: Analyze data from thousands of customer interactions to offer valuable insights based on customer behavior and preferences using generative AI.
- Improve decision making: Set intelligent guidelines based on your company’s standards to help agents make informed choices to provide great customer experiences.
- Increase agent utilization: Manage multiple chat inquiries concurrently, while maintaining conversation integrity and increasing agent performance.
- Real-time Coaching:
- Retain more agents: Intuitive real-time coaching improves job satisfaction, enhances morale, and reduces agent churn.
- Understand natural speech: Adjust coaching to each specific conversation and situation with AI models designed to recognize natural language and speech patterns.
- Guide agents with precision: Provide advice for specific challenges like pricing, competition, or escalations for accurate responses.
- Teach new skills: Teach agents to handle any situation, enhance empathy, and have more engaging interactions with your customers.
- Task Automation:
- Accelerate query resolution: Elevate performance and simplify responses to customer inquiries by automating replies to ensure fast, accurate, one-click answers.
- Approve automations: Maintain control over automated suggestions by enabling agents to customize or approve responses before sending.
- Improve CX: Drastically reduce average handle time and improve customer satisfaction by using AI to automate account verification and other conversation-based tasks.
- Reduce wrap-up time: Save time and improve record accuracy with automated interaction summaries that allow agents to simply review and click to submit.
- Guided Playbooks:
- Craft consistent conversations: Update playbooks based on past interactions to ensure uniform, brand-aligned, and detailed customer communications from start to finish.
- Improve real-time adherence: Automatically confirm when agents follow step-by-step guidelines in real time, ensuring they adhere to company standards and avoid compliance mistakes.
- Assure brand compliance: Guide agents with set scripts to ensure every customer interaction meets your standards to protect and enhance your brand image.
- Search AI
- Increase agent productivity: Save your agents time and frustration by reducing the effort to manually search for information and answers.
- Search effectively: Use the Kore.ai Retrieval Augmented Generation (RAG) engine to create more information-rich and customer-friendly answers to any question.
- Assimilate data quickly: Easily add and update information with a single click to increase data integrity and decrease inaccuracies associated with manual data input.
- Sentiment Analysis
- Work with emotion: Identify how your customers feel about your brand, products, and service experience to empathetically and appropriately respond to their needs.
- Informed decision making: Arm your agents with data based on customer behavior to determine how they feel, for more empathetic and helpful conversations.
- Improve overall satisfaction: Understand each customer’s state of mind to help agents ensure positive and successful outcomes, improving both CX and EX.
- Agentic Copilot (Autonomous Agent Assist)
- Agentic Copilot brings autonomous, end-to-end task execution to the Agent AI widget—automating responses, triggering workflows, and proactively engaging customers.
- Agents stay fully in control with real-time supervision, pause/override options, and editable AI-generated replies.
- This delivers faster, contextual, and empathetic customer support at scale without sacrificing human judgment.
- Task Automation & Next Best Action: Next-best action tailors service for each customer by analyzing individual interactions and automates replies to ensure fast, accurate, one-click answers.
- Real-time Coaching: Adjust coaching to each specific conversation & situation with AI models designed to recognize natural language and speech patterns.
- Guided Playbooks: Automatically confirm when agents follow step-by-step guidelines in real time also ensures adherence.
- Search AI: Use the Kore.ai Retrieval Augmented Generation (RAG) engine to create more information-rich and customer-friendly answers to any question.
- Agentic AI: Agentic Copilot enables autonomous, context-aware customer conversations with full agent supervision—combining automation, empathy, and real-time control for faster, higher-quality support.
The latest update introduces one enhancements to the Agent AI integration with ServiceNow:
- Custom Data Passing – Custom data refers to additional information, such as user ID, and other metadata, that can be passed from third-party applications to enhance the functionality of the Agent AI widget. Agent AI accesses and utilizes this data to customize interactions, streamline processes, and provide more context-specific responses. Using custom data, you can improve user experiences and enable more dynamic workflows within the system.
Not applicable for this application version. For more information, please see
Application Runtime Policy
Service Operational Workspace
Plugin: Agent Chat & Advanced Work Assisgnment(AWA)