🧠 Darwin AI is no longer a black box
Before, Darwin was a closed solution.
You told us what you needed, and we configured everything behind the scenes.
That has changed.
Now you can create your own AI Workers:
Design their flows and train them to work the way you need.
Without depending on us.
Without wait times.
With full control.
🛠️ What does this mean?
Darwin lets you create, monitor, and modify AI employees that adapt to different processes in your business—no technical expertise required.
Use cases:
Alba - Inbound lead qualification
Bruno - Outbound reactivation
Eva - CX/Support
Lucas - Collections
Sophia - Post-sales
Define what it does, how it speaks, and how it responds.
Configure every step of the flow, from first contact to closure.
Review, test, and edit responses in real time, with a simple visual interface.
What can you do with Darwin?
Darwin allows an organization to comprehensively manage its entire customer service operation.
The platform connects five key dimensions: conversations, channels, AI employees, service workflows, and the knowledge base. With Darwin, you can receive conversations from different channels, automate responses using AI employees, structure service journeys, utilize business information to respond with greater accuracy, test configurations before publishing them, monitor real results, and continuously improve operations.
General Platform Structure
Darwin's main sections fulfill distinct roles but work together seamlessly as an integrated system:
Conversations: Allows you to view, monitor, and review interactions.
Pipelines: Structures the service journeys and operational workflows.
Workforce: Used to create and manage your virtual AI employees.
Knowledge Base: The repository where useful information is uploaded and maintained so the AI can respond accurately.
Channels: Connects the communication mediums (entry points) through which conversations enter the platform.
Try It Out: A safe environment to test configurations and AI responses before publishing them to production.
Feedback: The area to review observations, log errors, and identify opportunities for continuous improvement.
How does Darwin work day-to-day?
Here is a step-by-step look at the standard operational lifecycle of a customer interaction within the platform:
Conversation Entry: A person reaches out through a connected channel, such as WhatsApp or Webchat.
Workflow Entry: The conversation is incorporated into a Pipeline, which determines its planned journey based on your configuration.
AI Employee Participation: At a specific stage of the workflow, an AI employee—configured to fulfill a specific role—takes action and begins interacting with the user.
Use of Business Information: To provide the best response, the system leverages the workflow configuration, the specific function of the AI employee, the Knowledge Base, and your defined rules.
Interaction Result: Based on the defined logic, the conversation can be successfully resolved, proceed to another stage within the Pipeline, or be routed to a human agent or different department.
Subsequent Review: As an administrator, you review the final outcome in Conversations, test potential improvements in Try It Out, and detect optimization opportunities using Feedback.