Skip to main content
In BluBash, the AI agent and the team serve customers together. The agent answers right away, at any hour, resolves routine requests and organizes the conversation. The team takes over when the conversation requires negotiation, analysis or a decision, with the context already recorded. Hybrid service works on every channel the agent is linked to: WhatsApp, Instagram and Webchat.

The complete hybrid flow, from the first message to the Pipeline

How it works, step by step

1

The customer sends a message

The message reaches a channel (a WhatsApp number, the Instagram Direct inbox or the website Webchat). The AI agent linked to that channel answers in seconds, using the content in Trainings.
2

The agent resolves or qualifies

Frequent questions (deadlines, documents, hours, procedures) are resolved by the agent itself. For a new customer, it asks the qualification questions defined in Behavior.
3

The agent records and organizes

With Skills, the agent adds a note summarizing what it gathered and applies tags such as Hot lead or Active customer. If Allow updating contact data is enabled, it also updates the contact’s name, email and fields.
4

The agent transfers to the right team

When the conversation needs a person, the agent runs the Transfer to Team skill configured for that situation (for example, Sales or Support). The transfer reason is recorded in the conversation.
5

The team takes over with the context ready

The conversation enters the team according to its distribution setting (Round Robin, Available or Queue). The team member reads the note, creates the deal in the Pipeline from the conversation itself and continues the negotiation.
6

The conversation can go back to AI

When the human part is done, the team member uses Handoff to AI to return the conversation to the agent, which collects documents, confirms details or closes the conversation.

Real example: accounting firm

See how Lia, the AI agent of an accounting firm, serves a new customer on WhatsApp:
Conversation in which AI agent Lia qualifies the lead, records the note and transfers to the Sales team
The transfer note is recorded in the conversation, for example:
Conversation transferred from AI Lia to the Sales team for the reason: Qualified lead. Food distributor, presumed profit taxation, approximate revenue of R$ 6 million, 18 employees, best time tomorrow after 2 PM. Interest: switching accountants.
The same flow applies to a visitor who chats through the website Webchat or a follower who writes in the Instagram Direct inbox.

What to leave to AI and what to leave to the team

Set up hybrid service

1

Create and train the agent

Define purpose, tone and behavior, and train it with frequent questions, files and your company website.Create an AI agent → · Train the agent →
2

Prepare the teams

Each area that receives conversations from AI needs a team with members, a distribution rule and the channel in Team Channels.Create and configure teams →
3

Configure the skills

At a minimum: Add Note for the summary, Add Tag to classify and one Transfer to Team for each area.Configure skills →
4

Test before going live

Use Test Agent to simulate real conversations and see which skills the agent runs.Test the agent →
5

Link the agent to channels

In Channels, open each channel (WhatsApp, Instagram or Webchat) and choose the agent in AI Agent (Optional). From then on, new conversations on that channel start with the agent.Activate the agent and link it to channels →
Add the channel to Team Channels for every team that receives conversations from AI. In the Transfer to AI Agent skill with Target Team (Optional), this access is required for the team change to happen.

Track the results

In the Conversations report, the Total conversations over time chart splits conversations into Unassigned, Human only, AI agents only and Hybrid (human + AI). Use it to track how much volume AI resolves on its own and how much goes through the team. The Conversations by channel over time chart shows how volume is split across WhatsApp, Instagram and Webchat. In the 360° View, the AI Analysis of each conversation evaluates the work of the agent and the team and provides coaching suggestions, including for the agent’s training.
AI Analysis with the service evaluation, risks and coaching suggestions

Next steps