UChat Official

Introduction

In this detailed update, we explore the latest enhancements to the AI functions within our platform, focusing on how users can now seamlessly transition between different workflows without relying on traditional triggers like tags or custom fields.

This improvement aims to streamline automation processes, making it easier for users to manage complex chatbot interactions and support flows efficiently.

Key Features and Workflow Enhancements

1. Previous Challenges in Managing AI Flows

  • Traditional Method:
    To switch from one AI flow to another, users had to rely on external triggers such as:

    • Adding specific tags

    • Changing custom field values

    • Using board triggers

  • Limitations:
    These methods often added complexity, required manual setup, and could lead to delays or errors in flow transitions.

2. New Simplified Approach

  • Core Innovation:
    The platform now allows direct flow transitions within the AI function itself, eliminating the need for external triggers.

  • How it works:

    • Inside an AI function workflow, you can stop the AI agent at a specific point.

    • After stopping, you can directly specify the next flow or section of the chatbot to send the user to, without external triggers.

3. Implementation Details

Step

Description

Example

Triggering a flow

Use a stop AI agent node within the workflow

After creating a support ticket, stop the AI to decide next steps

Connecting to a new flow

Select the AI function option in the AI agent settings

Choose to send the user to a different support flow

Multiple AI functions

Use multiple functions to route users to various sections

Direct users to billing, technical support, or feedback sections

  • Workflow Example:

    • Create TicketStop AI AgentDecide Next StepSend to Different Flow

4. Enhanced Flexibility with AI Functions

  • Multiple AI Functions:
    You can embed several AI functions within a single workflow, each capable of stopping the AI agent and redirecting users based on context.

  • Flow Continuation:
    After stopping the AI, you can:

    • Use a go-to node to jump to specific sections

    • Continue the flow sequentially from the current point

  • Benefits:

    • No dependency on external triggers

    • More dynamic and context-aware user journeys

    • Simplified management of complex chatbot interactions

5. Practical Use Cases

  • Customer Support:

    • After ticket creation, route users to technical support, billing, or feedback sections based on their responses.

  • Sales Funnels:

    • Transition users from initial inquiry to product demos or pricing pages without manual trigger setup.

  • Feedback Collection:

    • After a support interaction, direct users to surveys or follow-up flows seamlessly.

Final Thoughts and Benefits

This update significantly enhances the flexibility and efficiency of managing AI-driven workflows. By allowing direct flow transitions within AI functions, users can:

  • Reduce complexity associated with external triggers

  • Create more dynamic and personalized user experiences

  • Save time in designing and maintaining chatbot flows

  • Improve user satisfaction through smoother interactions

We believe these improvements will empower you to build more intelligent and adaptable automation systems. If you have any questions or need further assistance, our support team is ready to help.

Summary Table: Key Takeaways

Aspect

Before

After

Benefits

Triggering flow change

External triggers (tags, custom fields)

Direct within AI function

Simplifies setup, reduces errors

Flow control

Limited to predefined triggers

Dynamic, context-aware routing

Enhances user experience

Number of AI functions

Limited

Multiple embedded functions

Greater flexibility

Flow continuation

Manual or external

Automated, seamless transitions

Saves time, improves flow logic

Final Note

This update marks a significant step forward in making chatbot automation more intuitive and powerful. By integrating flow control directly into AI functions, users can now craft more sophisticated and responsive interactions with minimal effort.

We encourage you to explore these new capabilities and share your feedback to help us continue improving your automation experience.