Neural networks and ChatGPT at work in your business
ChatGPT in a browser tab is a toy. A neural network connected to your CRM, knowledge base and messengers is an employee working 24/7.
In short
Neural networks like ChatGPT are useful to a business when they are connected to company data: answering customers from your knowledge base, analysing sales calls, preparing reports and content. Without CRM and messenger integration they are just a tool for individual employees, not process automation.
How businesses use neural networks
Here are scenarios we have launched for clients and for ourselves.
- An AI assistant answers customers using your prices, terms and FAQ
- An internal assistant answers staff from company policies
- A neural network listens to call recordings and scores sales managers
- Automatic blog and SEO article generation — 3 articles a week
- Lesson reviews for a school: each review saves the teacher 30 minutes
ChatGPT vs your own AI solution
A ChatGPT subscription helps individuals write faster. Your own solution built on the same models works without a human in the loop and sees company data.
- Works in messengers and telephony, not in a browser tab
- Knows your prices, services and policies
- Writes results to your CRM and spreadsheets
- Data can stay on your own infrastructure
Modules for this task
AI assistants for your team
Handles internal requests, answers frequent customer questions and summarizes calls and meetings.
Learn more24/7 AI assistant for customers
Answers in your website chat, Telegram, Instagram, WhatsApp and Viber, qualifies requests and hands the manager ready context.
Learn moreCall analytics
Transcribes call recordings and scores every call against your sales script. Data never leaves your infrastructure.
Learn moreConsulting and process audit
For small business owners, freelancers and founders: a plan for what to automate first and a cost estimate.
Learn moreCase studies with real numbers
All case studies
Online English school
A platform and AI lesson reviews for an English school
30 min of teacher time saved by each automatic review
Read the case5 screenshots
Our own product
PostCreate — a content system for SEO and AI search
30+ articles already published automatically
Read the case5 screenshots
Sales department
An in-house call analysis system where recordings never leave the company
100% of recordings stay on company infrastructure
Read the case2 screenshotsHow implementation works
How implementation works-
01.
Brief and discovery
We break down the process, the problem and the expected result.
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02.
Design
We define modules, integrations, scenarios and architecture.
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03.
Infrastructure setup
We deploy servers, connect services and prepare the AI.
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04.
Development
We build a working system to the agreed spec.
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05.
Testing
We test it on real scenarios from your business.
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06.
Launch
We switch the system into production.
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07.
Support
We monitor stability and refine critical points.
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Learn moreChatGPT for Business Process Automation
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Learn moreQuestions and answers
Can ChatGPT be trained on my company data?
Yes. We connect the model to your knowledge base — documents, price lists, FAQ — so it answers from them rather than with generic phrases.
Can the neural network make mistakes?
It can, so we limit its answers to your data, test it on real conversations and set up hand-off to a person in unclear cases.
Which neural network is best for business?
There is no universal answer: different models suit conversations, call analysis and text generation. We choose based on the task, budget and data requirements.
Pay in instalments with monobank
You can pay for the project in up to 24 instalments. We launch the system right away and the payment is spread over time.
Payment terms