ATI.
Tell us about your calls

About ATI

Voice for the request.
Context for the team.

ATI is building AI for customer experience: conversations connected to the context, systems and people needed to move work forward. We start with voice because it is where many customer needs arrive.

A person handling an everyday customer request

Our point of view

The enquiry.
The appointment.
The person who takes over.

ATI is building around the work that follows a call: answering service questions, capturing requested changes and keeping the details with the responsible team.

01

Useful work first

Start with a specific customer job. Build the workflow around a useful result and a clear route to human help.

02

Fit the business

Make instructions, integrations and operating rules part of the setup. Keep standard workflows simple and custom work deliberate.

03

Improve from real conversations

Review where customers get stuck, what the team has to repeat and which tasks remain open. Use those findings to improve the agent.

When a person is needed

Your team takes the call.
The details are on record.

When a caller needs a person, or the job is outside what the agent may do, the agent transfers the call to your team and the caller's number is shown. What was said, the summary and the details captured are in the call record.

A service colleague reviewing a customer request
Example call recordCALL / EX-207

Charged twice.
Passed to accounts.

Caller need
Charged twice for one order
Details given
Order 4417 (corrected from 4471)
Current state
Transferred to the accounts team
In the record
Transcript, summary and the details captured

Example call record with fictional details. The summary is kept in the record; it is not read out to your team member during the transfer.

What your team has.

The caller's numberThe transcript and summaryThe details captured

Talk through a customer job.

ATI Labs FZC · Sharjah, United Arab Emirates. Contact hello@atilabs.ai for workflow, partnership or company enquiries.

Talk to ATI

Let’s begin

Start with one job
your team handles every day.

Pick the call you get most often. Build the agent, hear it on a test call, and decide what it may do.