How it works

A clear path from message to resolution.

The customer starts in a familiar channel. ugnAI organizes the request, applies your rules, handles the safe first steps, and brings in a human before judgment is required.

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Customer request flow

A controlled path from message to action

Messenger

New booking question

Complete

Ticket

Customer and channel matched

Complete

Workflow

Booking intake selected

Complete

AI

Date and service collected

Complete

Agent

Availability confirmation needed

Complete

The operating flow

Each step leaves the next person with more context, not less.

A customer starts the conversation

The message arrives from a connected channel and is matched to the correct workspace and customer.

ugnAI creates the working record

The conversation becomes a ticket with channel, customer, status, timestamps, and the original message.

Rules determine what happens next

AI instructions, approved knowledge, active workflows, usage limits, and handoff rules are evaluated.

AI handles the repeatable work

It can answer an approved question, collect one missing detail, classify the request, or update permitted fields.

A human takes over when required

The AI stops. The agent receives the conversation, collected fields, summary, customer history, and next action.

Automation is useful only when the boundaries are clear.

Only published knowledge is used for factual answers.

The AI asks for one missing detail at a time.

Sensitive or unknown cases can be routed to a human.

AI cannot continue after a confirmed handoff.

Backend rules enforce limits and permissions.

Agents retain the full conversation and ticket context.

What the AI sees is controlled by the workspace.

Approved knowledge

Published answers and business information

Active workflow

The questions and fields required for this request

Recent conversation

Only the context needed to respond coherently

Ticket details

Status, customer, fields, and prior collected values

Build the first flow

Start with the customer request your team sees most often.

Configure one workflow, connect one channel, and test where AI should help and where a person should take over.