Core Concepts

Script-driven vs State-driven Architecture

Script-driven vs State-driven Architecture

Traditional bots are script-driven. They follow predefined question trees and fail when real-world conversations deviate from the script.

Superpanel is state-driven. Each workflow is modeled as a state machine:

  1. Initial state: What is currently known about the contact

  2. Target end state: The resolved outcome, such as Qualified, Signed, Completed, Disqualified, or Escalated

  3. Cognitive Decision Engine: Continuously and autonomously determines the next best action based on the current state

The agent’s job is to close the gap between the current state and the end state by executing your standard operating procedure.

This approach allows the system to dynamically adapt, skip unnecessary questions, and move forward as soon as requirements are satisfied.

Core Concepts

Core Concepts
Core Concepts

Script-driven vs State-driven Architecture

Script-driven vs State-driven Architecture

Script-driven vs State-driven Architecture

Table of Content

Table of Content

Table of Content

Script-driven vs State-driven Architecture

Script-driven vs State-driven Architecture

Script-driven vs State-driven Architecture

Traditional bots are script-driven. They follow predefined question trees and fail when real-world conversations deviate from the script.

Superpanel is state-driven. Each workflow is modeled as a state machine:

  1. Initial state: What is currently known about the contact

  2. Target end state: The resolved outcome, such as Qualified, Signed, Completed, Disqualified, or Escalated

  3. Cognitive Decision Engine: Continuously and autonomously determines the next best action based on the current state

The agent’s job is to close the gap between the current state and the end state by executing your standard operating procedure.

This approach allows the system to dynamically adapt, skip unnecessary questions, and move forward as soon as requirements are satisfied.

Traditional bots are script-driven. They follow predefined question trees and fail when real-world conversations deviate from the script.

Superpanel is state-driven. Each workflow is modeled as a state machine:

  1. Initial state: What is currently known about the contact

  2. Target end state: The resolved outcome, such as Qualified, Signed, Completed, Disqualified, or Escalated

  3. Cognitive Decision Engine: Continuously and autonomously determines the next best action based on the current state

The agent’s job is to close the gap between the current state and the end state by executing your standard operating procedure.

This approach allows the system to dynamically adapt, skip unnecessary questions, and move forward as soon as requirements are satisfied.

Traditional bots are script-driven. They follow predefined question trees and fail when real-world conversations deviate from the script.

Superpanel is state-driven. Each workflow is modeled as a state machine:

  1. Initial state: What is currently known about the contact

  2. Target end state: The resolved outcome, such as Qualified, Signed, Completed, Disqualified, or Escalated

  3. Cognitive Decision Engine: Continuously and autonomously determines the next best action based on the current state

The agent’s job is to close the gap between the current state and the end state by executing your standard operating procedure.

This approach allows the system to dynamically adapt, skip unnecessary questions, and move forward as soon as requirements are satisfied.