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Kamil Kowalczyk

Kamil Kowalczyk

Account manager & co-founder
hello@scron.io
+48 503 482 459
EN/PL

AI implementation for business that saves your team time

Implementing AI in a company makes sense when, after a month, you can see the hours saved. We automate repetitive tasks, build chatbots on company data and connect AI to the tools your team already uses.

Let's talk about implementation
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Join the companies we implement AI with

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Our offer

How we implement AI solutions in companies

A ChatGPT licence for every employee is only the beginning. Real implementation starts when a language model gets a specific job, such as answering enquiries or preparing a proposal, and works on your data, in your tools.

First, a review of your processes. We look for repetitive tasks based on text or data that take up most of your team's time, and we calculate how many hours they cost today. Sometimes ordinary automation without any AI is enough, and then we say so plainly.

Then the build. It can be an assistant that answers based on your documentation, or an automation connecting AI with your CRM and email. Sometimes an agent that carries out several steps on its own. We first test every solution on real cases from recent weeks. Only when the answers are good do we hand it over to the team.

Scope of the service

  • Analysis

    Process review and choosing where to use AI

  • Build

    Chatbots, assistants and AI agents on company data

  • Integration

    Connecting AI with your CRM, email, website and apps

  • Outside the core scope

    Training your own AI models from scratch

Hydropolis vertical farming website on a phone screen

Who it's for

Who we implement AI for

Companies gain fastest when someone spends hours every day retyping, replying and copying and pasting.

  • Customer service

    “What's the delivery time?”, “Can I change the date?” An AI assistant answers questions like these immediately, based on your knowledge base. It passes harder cases on to a person.

  • Sales and proposals

    A salesperson spends half a day on a proposal that largely repeats the previous one. AI puts together a draft from the enquiry and CRM data, and the salesperson refines it.

  • Document-heavy companies

    Invoices, contracts, complaints. AI extracts the data you need and enters it where it belongs. Nobody retypes it by hand.

  • Marketing and content

    A weekly report, a hundred product descriptions, a campaign summary. AI takes over the repetitive part, and the team keeps the decisions.

  • Digital products

    You want to add AI to your application, such as smart search or an assistant. We design it together with the UX, because a feature nobody notices achieves nothing.

  • Small companies without an IT department

    You don't have an IT person but want to use AI. We start with one process and a solution you can run without a developer.

What you get

What well-implemented AI does for you

Just “having AI” changes nothing. What changes things is how many hours the team gets back.

Time saved

AI handles repetitive tasks, and the team focuses on work that needs people.

Faster service

Customers get an answer right away, also outside working hours.

Manufaktura Zdrowego Treningu online training platform on a laptop screen

Less retyping

Data from documents goes into the system automatically, and a person checks the exceptions.

In your tools

Integration with your CRM, email and website instead of another app to learn.

Control over data

We agree which data goes to the model and where it is processed.

Measurable results

We measure time, costs and answer quality before and after implementation.

Facts and figures

How companies use AI today

AI is already standard in large companies. In Poland most businesses are only getting started, which is an advantage for those who move now.

  • AI is already standard in business

    88%

    of organizations regularly use AI in at least one business function (McKinsey, 2025)

  • One in five EU companies uses AI

    20%

    of enterprises in the European Union used AI technologies in 2025 (Eurostat)

  • Poland is still at the start

    8.4%

    of Polish enterprises used AI in 2025, one of the lowest results in the EU (Eurostat)

  • AI agents are entering companies

    23%

    of organizations are already scaling AI agents, and another 39% are experimenting with them (McKinsey, 2025)

How we work

AI implementation step by step

We start with one process, check the result, then scale.

Conversation

Processes and goals

Where does your team lose the most time? What data do you already have? We also agree how we will measure success.

Book a call

Analysis

Choosing use cases

We map the selected processes step by step and calculate what they cost. For each one we assess whether AI makes sense or something simpler will do.

Prototype

A test on real data

One process, a working version, real cases from recent weeks. We check whether the answers are good and whether the data is safe.

Implementation

Integration and training

We connect the solution to your systems and set up permissions. The team goes through a short training session.

Growth

Measurement and further processes

After a few weeks we compare the results with how things were before. If it works, we take on the next process.

FAQ

Frequently asked questions about implementing AI in business

Answers to the questions companies ask before their first AI project.