Use Cases

1. Call-Flow Management:

Visually Design and Optimize Interactive Voice Response (IVR) Systems. Drag-and-drop interface to quickly build and modify call flows. Define conditional routing based on caller input (e.g., pressing "1" for sales, "2" for support), time of day (route to different teams after hours), or other criteria pulled from a CRM (VIP customers get prioritized). Integrate with existing telephony systems via API for seamless call management. Use data from call outcomes to continuously optimize flows for reduced wait times, improved first call resolution, and enhanced customer experience. Enables non-technical staff to maintain and update IVR flows without requiring coding expertise.

2. AI Orchestration:

Intelligently Route Tasks to the Right AI Model and Chain Multiple AI Processes Together. Use Workflow Builder to create a process that analyzes incoming data (e.g., images, text) and determines the best AI model to process it (e.g., object detection, sentiment analysis, language translation). Based on the AI model results, the workflow can automatically chain to the next best AI model, enrich data or present it for human review. The workflows can dynamically adjust based on the results (e.g., confidence levels). Improve AI processing accuracy and efficiency by strategically managing AI resource use. Integrates with AI model APIs and cloud services like AWS, Google Cloud, and Azure. Centralize and monitor your AI processes in one visual dashboard for improved insights and faster issue resolution.

3. HR Automation:

Automate the Employee Onboarding Process. Visually design and automate the flow of HR tasks, from initial application review (parsing resumes, background checks) to benefits enrollment and equipment provisioning. Trigger automated emails to candidates (status updates), create tasks for different team members (IT setting up accounts, Facilities preparing workspace, HR handling paperwork), and track progress in real-time through a centralized dashboard. Integrates with HRIS systems (Workday, BambooHR) and other tools. Dramatically reduce paperwork, eliminate manual errors, streamline the onboarding experience, and improve new hire satisfaction. Generate automated reports on onboarding process efficiency.

4. Customer Service Automation:

Dynamically Route Customer Inquiries to the Most Relevant Agent or Resource. Build a workflow that evaluates incoming customer support requests (email, chat, phone), pulling data from CRM (Salesforce, Zendesk) and other sources (order history, product usage). Based on factors such as customer value, product expertise required, sentiment analysis (identify urgent or frustrated customers), the workflow routes the inquiry to the most appropriate agent, automated chatbot (for simple FAQs), or self-service resource (knowledge base article). Automate responses for common issues, collect customer feedback after interactions, and continuously optimize the routing process based on performance data. Improve customer satisfaction, reduce churn, optimize agent productivity and ensure faster resolution times.

Last updated 1 month ago

1. Call-Flow Management:

Visually Design and Optimize Interactive Voice Response (IVR) Systems. Drag-and-drop interface to quickly build and modify call flows. Define conditional routing based on caller input (e.g., pressing "1" for sales, "2" for support), time of day (route to different teams after hours), or other criteria pulled from a CRM (VIP customers get prioritized). Integrate with existing telephony systems via API for seamless call management. Use data from call outcomes to continuously optimize flows for reduced wait times, improved first call resolution, and enhanced customer experience. Enables non-technical staff to maintain and update IVR flows without requiring coding expertise.

2. AI Orchestration:

Intelligently Route Tasks to the Right AI Model and Chain Multiple AI Processes Together. Use Workflow Builder to create a process that analyzes incoming data (e.g., images, text) and determines the best AI model to process it (e.g., object detection, sentiment analysis, language translation). Based on the AI model results, the workflow can automatically chain to the next best AI model, enrich data or present it for human review. The workflows can dynamically adjust based on the results (e.g., confidence levels). Improve AI processing accuracy and efficiency by strategically managing AI resource use. Integrates with AI model APIs and cloud services like AWS, Google Cloud, and Azure. Centralize and monitor your AI processes in one visual dashboard for improved insights and faster issue resolution.

3. HR Automation:

Automate the Employee Onboarding Process. Visually design and automate the flow of HR tasks, from initial application review (parsing resumes, background checks) to benefits enrollment and equipment provisioning. Trigger automated emails to candidates (status updates), create tasks for different team members (IT setting up accounts, Facilities preparing workspace, HR handling paperwork), and track progress in real-time through a centralized dashboard. Integrates with HRIS systems (Workday, BambooHR) and other tools. Dramatically reduce paperwork, eliminate manual errors, streamline the onboarding experience, and improve new hire satisfaction. Generate automated reports on onboarding process efficiency.

4. Customer Service Automation:

Dynamically Route Customer Inquiries to the Most Relevant Agent or Resource. Build a workflow that evaluates incoming customer support requests (email, chat, phone), pulling data from CRM (Salesforce, Zendesk) and other sources (order history, product usage). Based on factors such as customer value, product expertise required, sentiment analysis (identify urgent or frustrated customers), the workflow routes the inquiry to the most appropriate agent, automated chatbot (for simple FAQs), or self-service resource (knowledge base article). Automate responses for common issues, collect customer feedback after interactions, and continuously optimize the routing process based on performance data. Improve customer satisfaction, reduce churn, optimize agent productivity and ensure faster resolution times.

Last updated 1 month ago