Artificial intelligence

AI integrationfor your company

Assistants that answer from your documents, sort requests and emails and prepare reports. We start with one clear task and check how AI copes with it on your own data.

Where AI actually helps

Wherever people spend hours on the same thing

  • The same customer questions

    Delivery times, returns, opening hours. An assistant answers in seconds, at night and at weekends, and hands tricky questions to a manager.

  • Searching documents

    Policies, contracts, manuals. Staff ask in their own words and get an answer with a link to the right clause instead of digging through folders.

  • Sorting the inbox

    Emails, requests, reviews. AI sorts them by topic, pulls out the details and drafts a reply for someone to check.

What we can build

Solutions for a specific job

  • A chatbot for your site and Telegram that knows your range and terms
  • An assistant for staff over internal documents
  • Automatic sorting of emails, requests and tickets
  • Analysis of reviews, calls and customer conversations
  • Connecting ChatGPT, Claude or Gemini to your systems
  • Local models on your own server when data cannot leave it

Our experience

We build AI products for ourselves too

ChatBot Builder answers from a company's documents and attaches the source to every answer. WidgetsAI reads reviews from maps and marketplaces and shows what customers complain about most. What we learn on our own products goes into client projects.

How it is rolled out

Test first, launch second

  1. 01

    Pick the task

    We look for a process where the result can be measured: hours spent, number of requests, number of mistakes. That is where we start.

  2. 02

    Test on your data

    We build a prototype on real documents and questions. It quickly shows whether AI copes and where it gets things wrong.

  3. 03

    Set the limits

    We decide what the assistant may say, which data it can see and which questions always go to a person.

  4. 04

    Launch

    We connect it to your site, Telegram, CRM or email. Staff get a guide, you get a report on how the assistant performs.

  5. 05

    Improve

    We go through the questions it handled badly and extend the knowledge base and rules.

Cost

What makes up the price

The price is our setup work plus the model usage itself, which depends on the number of requests. The work depends mostly on:

  • How many documents and data sources
  • Where the assistant lives: site, Telegram, CRM, email
  • A cloud model or your own on your server
  • Answers only, or actions in your systems too
  • Security and data storage requirements

Questions

What people ask before bringing in AI

Is it safe to give our documents to an AI model?

It depends on the model and settings. Major providers offer modes where your data is not used for training. If documents must not leave the company at all, we run the model on your own server. We agree on this before work starts.

How is this different from plain ChatGPT?

Plain ChatGPT knows nothing about your company and may invent an answer. Our assistant answers from your documents, shows where the information came from and stays within the limits you set.

How much does AI integration cost?

Setup work plus model usage per request. We start with a prototype on a single task, so you see results before any large spend and decide whether to go on.

What if the assistant gets it wrong?

Every answer comes with its source, so it is easy to check. We set topics the assistant stays away from and route hard questions to a person. Mistakes are reviewed and the knowledge base is corrected.

Do we need our own IT team?

No. We handle setup and integration, and staff only need to be able to use a chat. Documents in the knowledge base can be updated without a developer.

Get in touch

Let’s start with a conversation about your system

Tell us briefly about the task and what you have already tried. The first step is a technical audit, not a development contract.

What happens next

  1. 1
    You send a request

    A few lines about the task and a contact for the reply: here, on Telegram or by email.

  2. 2
    A call with the engineer

    We go through the task, the constraints and what you have tried.

  3. 3
    Audit and plan

    A report with findings, priorities and an estimate for the next step.

Pavel Efimenko

Founder of Piron Dev, engineer

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We use your contact only to reply to the request and never share it. You will hear back from the engineer who makes the architecture calls on your project, not from a sales manager. Tax ID (UNP) 194032002.