On-site AI implementations

We don't give you a list of tools to read. We come to the company and launch AI from scratch.

Processs audit, tool selection, installation, configuration, training of the entire team, all on-site. We come with a ready-made workflow, not a PowerPoint presentation for you to create yourself.

on-site we come to your company, not remotely
2-3 weeks from the first audit to the finished workflow
the whole team not just one AI enthusiast in the company
  • 47 hmiesmediocrea oszczędność timeu per pracownik po wdrożeniu*
  • 85%workflow w codziennym użyciu 30 dni po wdrożeniu*
  • 2–3 tyg.from the first audit to the finished workflow
  • 30 dnisupport pytaniowy included in the price każdego wdrożenia
  • 100%własność IP: cały code i konfiguracje należą do Was

*Umediocreone data z wdrożeń JSON Crew, 2024–2026. Concretene wyniki zależą od dojrzałości processów i skali compaNosy.

Four signals that it's time to implement AI in your company

If you recognize at least two, implementing AI makes sense and will provide measurable returns.

01

You bought licenses, no one uses them

Copilot, Gemini, ChatGPT Teams, the fee goes monthly, and the 80% team opens this tool once a week. License is not implementation. Without configuration and routine use, the tool does not enter into everyday work.

02

One AI enthusiast and PowerPoint for the whole team

One person got excited, made a presentation, gave several prompts as examples. The rest went back to Excel. There are no ready-made workflows for specific tasks of each department and no one to configure and test them together with the team.

03

The consultant left a 40-slide presentation and disappeared

Each of the recommendations is right. But who will implement it? When? In what order? Who will configure the connection to your Customer Relationship Management? Who will train a back office person who has never heard of prompt engineering? Presentation is not implementation.

04

Every department wants something different and no one knows where to start

Sales wants Customer Relationship Management with AI. Marketing, content generator. Finance, OCR from invoices. IT says to wait until they “get the budget”. Meanwhile, a year has passed and the company is in the Same place as a year ago. There is no single coherent implementation map for the entire company.

0 out of 4 signals

Mark which signals you see in your company

Five stages of implementation. From audit to ready workflow in 2-3 weeks.

We come, we do, we deliver. No homework for your team between stages.

Stage 01
01
processesdepartmentsquick wins
Stage 02
02
toolsintegrationsorder
Stage 03
03
planrangeschedule
Stage 04
04
installationconfigurationworkflow
Stage 05
05
trainingdocumentationsupport
Week 1

Processs audit

Interviews with key departments: sales, marketing, operations, finance. Map of repetitive activities that yese up the team's time. Quick wins list, which will give the greatest effect with the least implementation risk. The result: a prioritized list of what we are implementing and why.

Week 1

Implementation map

Selection of specific tools (ChatGPT, Copilot, Claude, Gemini, n8n with AI, RAG custom assistant). Integration plan with what you already have: email, Customer Relationship Management, document database, ERP. The order of implementation, what comes first, what in the following weeks. Deposit: 30%.

End of week 1

Acceptance of the plan

You approve what we implement, in what order and what to expect from each tool. We will not proceed with the installation without approval. Upon approval: another 30%.

Checkpoint, not a formality
Week 2

On-site implementation

We install tools, configure accounts and permissions, and connect to your systems and data. We create ready-made prompt templates, carmations and workflows for each department. We test on real tasks, not on Sample data. After implementation: another 30%.

Week 3

Training and handover

Not a lecture, but a workshop on the real tasks of each department. Each person comes out with 2-3 specific workflows that they start using on the Same day. Documentation provided in Polish. Question support for 30 days. After training: last 10%.

What does it look like in practice?

Six connections that our customers use every day

All managed from one application. Not a list of tools to buy, ready-made integrations configured during implementation.

01

E-email connected to Customer Relationship Management

Customer Relationship Management always has up-to-date information from conversations. You reply in 10 seconds with the context of the contact's history, without switching tabs.

02

Offering system based on company knowledge

With one prompt, you create an offer based on historical valuations and Google Drive. AI counts on your data, it doesn't guess.

03

Website and store management

Change the price, add a product, check sales. The assistant connects to the hosting and makes changes via conversation, without logging in to the panel.

04

Campaigns and analytics in one prompt

Google Ads, Meta and GA4 in one place. Which ads don't pay off? Response in 10 seconds, without opening four systems.

05

Design tools under one command

Brief for Canva, instructions for Photoshop, script for CapCut. The assistant translates the idea into a ready-made prompt for each creative tool.

06

Communication in one window

E-emails, Slack, Teams - one assistant window. Summary of unread, draft answers. Nothing falls between the boxes.

What exactly changes after implementation

The team has been using AI since day 1, not day 60

Online courses have a completion rate of 3–7%. Self-presentation, even less so. A workshop on real tasks of a given department gives us the habit of using it before we leave the company. You don't start from scratch a few months after “implementation”.

Integration with what you already have

ChatGPT on its own is not enough. The value increases when AI has access to your documents, Customer Relationship Management, emails and knowledge base. We configure connections, we do not leave you with “homework” to integrate with the systems yourself.

A specific department, a specific task, a specific tool

We didn't “implement ChatGPT for the entire company.” Sales gets a workflow to shorten the time to prepare offers. Marketing, briefs and content generator. Finance, OCR from invoices. Everyone gets what suits them for their daily work.

You are not left alone with the tool

30 days of question support after implementation, via e-email or Slack. If something stops working, the tool interface has changed, or someone new joins the team, you can write. We do not disappear after issuing an invoice.

Resulti wdrożeń, słowami klientów

Cytaty i liczby z zakończonych projektów. Concretene departments, konkretne processes.

3 dni → 2 hoffer preparation time
„Sprzedawcy piszą now oferty z historii poprzednich wycen. This co zajmowało 3 dni, robimy w 2 godziny. Nikt już No zbiera tego ręczNo od zera.”
J. K. · Head of Sales · producent bram, 45 osób
−12 h/tydz.backoffice, reports finansowe
„Backoffice odzyskał 12 h/tydz. na coś innego niż copy-paste między Excelem a fakturówką. Documentacja po polsku, nowa osoba ogarnia w 2 days.”
M. P. · CFO · hurtownia B2B, 80 osób
85%zespół używa AI codzienNo
„WcześNoj licencje na Copilot leżały. Teraz 85% ludzi loguje myself codzienNo, bo mają workflow na własne zadania, No ogólne ‘zrób sobie prompt’.”
A. W. · CEO · agencja marketingowa, 25 osób
Case #01 · Production B2B

Bidding: 3 dni → 2 h

The problem: ręczna wyprice 30 variantów bram, każda offer zbierana z 4 systemów.
Implementation: RAG na historii ofert + integration z ERP + szablon promptu dla sprzedaży.
Result: ×18 krótszy time oferty, +23% konwersji na zapytania w 60 dni.

Case #02 · Hurtownia

Raporty finansowe: −12 h/tydz.

The problem: kmyselfgowa robiła zestawienia tygodniowe kopiując z Optimy do Excela.
Implementation: n8n + Copilot + szablon Excel z podpiętym asystentem RAG.
Result: 12 h/tydz. odzyskane, raport gotowy w poNodziałek rano instead w środę.

Case #03 · Agencja

Adoption: 15% → 85% w 30 dni

The problem: zakupione licencje Copilot i ChatGPT Teams, none realnego użycia.
Implementation: workflow per stanowisko + warsztat on-site na realnych briefach klientów.
Result: 85% zespołu używa AI codzienNo, śr. 47 h/month. oszczędności per osoba.

Pełne case studies z nazwami klientów udostępniamy na rozmowie po podpisaniu NDA.

Only AI consultation or implementation, what's the difference?

Two models of working with compaNos. One ends with a recommendation, the other with a ready-made workflow in everyday use.

AI consultation only

  • Processs analysis and indication of what can be carmated with AI
  • Recommendations on which tools to choose and in what order
  • Explanation of how individual tools work
  • The company implements and trains the team itself after we leave

On-site AI implementation (our service)

  • Audit + recommendations + implementation + training, all in one project
  • We install, configure and integrate with your systems
  • We create ready-made templates and workflows for specific departments
  • We leave with a trained team and tools in everyday use

If you have your own IT department that wants to implement it yourself after the audit, we can only provide consultations. If you want to act quickly and have a guaranteed result, we do full implementation.

Cztery gwarancje wdrożenia

Ryzyko techniczne i prawne pabout uszej stroNo. Wy dostajecie działający system, No prezentację.

01 · Własność

100% własność IP

Cały code, workflow, documentation i konfiguracje należą do Was. Możecie w każdej chwili przeNość wszystko do własnego IT. Bez licencji „wieorstej u nas”.

02 · Elastyczność

Bez vendor lock-in

Maintenance packages rozliczane per month, 30-dniowy okres wypowiedzenia. Zostajemy, bo dostarczamy wartość — No dlatego, że trzyma Was umowa.

03 · Support

30 dni included in the price

After implementation By 30 dni piszecie dabout us z everyonem pytaNom, emailem or Slackiem. Odpowiadamy do końca dnia roboczego. No znikamy po wystawieniu faktury.

04 · Wiedza

Documentacja po polsku

Każdy workflow, integration i uprawNoNo opisane po polsku, na Waszych danych i processach. Nowa osoba w zespole rozumie w 2 days without oursj obecności.

Before you schedule an interview

What happens after implementation, and who we are.

After implementation

Maintenance packages

  • Launch Care PLN 1,190/month monitoring of AI tools, configuration updates, 1 hour of support/month
  • Growth Circle PLN 2,390/month Launch Care + 2×2 hours of consulting/month + new workflows every month + Slack
  • Partner Lab from PLN 4,190/month Growth Circle + reserved dev work block + own RAG assistant + higher SLA

Optional packages. We will discuss the details during a meeting after implementation.

Do przeortania

Guidei wdrożeniowe

30 seconds on JSON Crew

Who We Are

2024year of establishment
3founders
5Live case studies

Software development company with a niche in the digital transformation of B2B sales. Automation, AI and applications implemented in compaNos that want results, not recommendations. AI implementations are a natural extension of what we have been doing from the beginning: we provide tools and teach how to use them.

Meet the team · 15-minute diagnosis

Frequently Asked Questions

How much does it cost to implement AI?

The pricing depends on the number of departments, tools to be implemented and integrated with existing systems. Small project (1-2 sections, basic tools), several thousand zlotys. Implementation for the entire company with ERP/Customer Relationship Management integrations, from several thousand. We make a detailed quote after the first conversation and process audit.

How big a company is this for?

It works best for compaNos with 10-200 people that already have repetitive processes that need to be accelerated. For smaller compaNos, consultations and independent implementation are often enough. For larger compaNos, we can divide the implementation into stages (section by section).

What exactly are you installing and configuring?

Depends on needs: ChatGPT / Claude / Gemini with appropriate permissions and prompt templates per department; Microsoft Copilot integrated with Office 365; n8n with AI nodes to carmate flows; custom RAG assistant with access to your documents. We select tools after the audit, we do not push fashionable ones, only those that produce results in your context.

What systems can you integrate with AI?

E-email (Gemail, Outlook), Customer Relationship Management (HubSpot, Pipedrive, Salesforce), ERP (Comarch, Optima, Asseco), document databases (SharePoint, Google Drive, Confluence), ticketing systems (Jira, Zendesk). If you have your own systems or API, we check the possibilities before implementation.

What happens after implementation, who maintains the tools?

30 days of question support are included in the implementation price. Then: you can manage it yourself (interfaces are intuitive, documentation in Polish) or choose one of our maintenance packages. We do not make you dependent on us, but if you want to have someone at your disposal, we are here.

Do we need our own IT for implementation?

NO. We implement the implementation ourselves, we only need the client's IT to grant administrative rights (access to company accounts, possibly credentials to the systems). If you have your own IT department that wants to participate, they will be happy to do so, it makes integration easier. But the lack of IT does not block implementation.

Quick inquiry · no obligation

Shall we talk? Briefly describe your company and your biggest problem with AI

How many employees do you have, what systems do you use, have you ever tried to implement AI? We will respond within the next business day with a proposal for next steps.