Atoms

Denis, founder

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Theme

AI automation

We take the routine off people: handling requests, answering repetitive questions and parsing documents. We start with one process that can be measured in money

Price

from $1,800

Timeline

from 2 weeks

Warranty

3 months

Quote

in 1 working day

Verba
Nutritica
Atoms Pay

Who it is for

“Managers answer the same questions all day”

We put an assistant on the first line: it closes the typical cases and hands the hard ones to a person with the full history

“Requests arrive from five places and get lost”

We collect them into one stream, classify them by meaning and route them to owners

“We parse documents and spreadsheets by hand”

We teach the system to pull data out of invoices, contracts and emails and put it into your database

“We tried AI and ended up with a toy”

We take one process, measure the time before and after and deploy so the result shows up in numbers

What is included

  • Process breakdown

    We measure how much time and money the routine costs today

  • Scenario

    Where the machine decides on its own and where it must call a human

  • Deployment

    Models connected to your data and systems, not to an abstract chat window

  • Control

    Answers can be reviewed, corrected and rolled back: the process stays governable

  • Integrations

    CRM, mail and messengers — the work happens where it already happens

  • Measurement

    Handling time and the share of tasks closed without a person

Case studies

How the work goes

01

We break down the process and quote it

1-2 working days

02

A pilot on one scenario

1-2 weeks

03

Deployment and integrations

2-4 weeks

04

Measuring the result and tuning

1 week

Pricing

Assistant on one scenario

from $1,800

Request and document handling

from $4,000

A whole process automated

from $8,000

Price depends on the volume of data, the number of integrations and how strict the review requirements are

If the routine is not in chat but in internal processes and spreadsheets

Web services

Questions

With one where time is measurable. We take the most frequent and most boring, measure before and after, and the next decision is made on numbers rather than on feel

It answers from your data, not from memory of the internet. Where the cost of an error is high, the answer goes to a person for confirmation

We settle this at the start: either a provider with training disabled, or a model running on your own server

Beyond development there is a per-request cost for the model. We calculate it upfront on your volume so it never becomes a surprise

A pilot on one scenario in two weeks, a full deployment in a month to six weeks