Rasa

1. User initiates a conversation via web chat or messaging app.

2. Rasa agent identifies the user's intent (e.g., checking order status, requesting a refund).

3. Agent retrieves relevant information from backend systems via API calls.

4. Agent provides the user with the requested information or guides them through a self-service process.

5. If the issue is complex, the agent seamlessly hands off the conversation to a human agent.

1. User interacts with an AI agent on the company's website.

2. Agent asks qualifying questions to understand the user's needs and budget.

3. Agent scores the lead based on predefined criteria.

4. If the lead is qualified, the agent schedules a meeting with a sales representative.

5. The sales representative receives a summary of the lead's interactions with the AI agent.

1. Employee initiates a conversation with the AI agent via Slack or Microsoft Teams.

2. Agent identifies the employee's intent (e.g., resetting password).

3. Agent guides the employee through the password reset process, integrating with the company's identity management system.

4. Agent logs the interaction and updates the employee's profile.

5. If the issue is beyond the agent's capabilities, it escalates the request to a human IT support agent.

1. User interacts with the AI agent via phone or messaging app.

2. Agent confirms the user's identity and retrieves their appointment history.

3. Agent identifies the user's intent (e.g., scheduling a new appointment).

4. Agent checks available appointment slots and presents them to the user.

5. Agent confirms the appointment and sends a reminder to the user.

1. User interacts with the AI agent on the e-commerce website.

2. Agent asks questions to understand the user's preferences and needs.

3. Agent analyzes the user's past purchases and browsing history.

4. Agent provides personalized product recommendations based on the user's profile.

5. Agent guides the user through the purchase process.

1. User calls the company's phone number.

2. The call is routed to the Rasa-powered voice agent.

3. Agent uses speech recognition to understand the user's request.

4. Agent uses natural language understanding to determine the user's intent.

5. Agent provides the user with the requested information or connects them to the appropriate department.