AI Transformation
We start by diagnosing the maturity of your company. We adjust the roadmap to the scale and resources. We lead through five levels: from the first experiment, to your own AI model in your infrastructure. No skipping stages, no forcing decisions ahead of time.
Four signals
If you recognize at least two, it is worth starting a conversation about a roadmap.
The salesperson doesn't know if this product fits this machine, so he calls the technologist. Onboarding a new person takes months because the knowledge is not in one place. The RAG assistant responds with your documents in seconds, with a link to the source, not with fabrications.
The contact@ mailbox is a bag: inquiry, complaint, invoice, spam. Someone reads it and sends it around. AI classification identifies and directs the report to the right person or to a machine immediately, without waiting for the morning inbox check.
Invoices, orders, specifications, contracts. Someone opens the PDF and copies the data into the system. AI reads the document, extracts fields (Tax Identification Number, amounts, items), and gives it to a human for validation only when it is not certain. Less rewriting, fewer typos.
A ready-made chatbot does not know your price list, procedures or customer history, so it gives untruths in a confident tone. RAG connects the model to your knowledge base: it responds only from what you have, and when it doesn't know, it says it doesn't know.
Diagnosis in three questions
Three questions, score from 0 to 4. You will see where you stand, what it costs you and what is the logical next step. No lead magnet, no email, just a diagnosis.
Answer the three questions next to it to see your company's maturity level.
Mapa Systemu
Scale from zero to your own model in your infrastructure. Click on the level shows what the company looks like at this stage, what it lacks and how much the status quo costs.
System Principle
Tools without trained people stand unused. Trained people without tools return to old habits in the second month. Therefore, each step to a higher level is always two steps at once.
Dowody operacyjne
No promises or slides. Everything below is running at JSON Crew right now. We can show it to you on screen when we visit you for the first stage.
Computer programming
All new code is created together with AI. The program proposes a solution, the person checks and accepts it. We know where AI really accelerates, and where it only pretends to help.
Sale
Contact box read automatically. Each query marked (industry, customer temperature) goes to the right person, without an injured browsing.
Content
AI turns a short note into a finished article, a person checks the publication directly on the page with one click. Instead of a working day, two hours.
Social media
Automatically generated carousels, infographics and comics. Consistent faces of the characters in each slide, Polish text exactly where it should be, without mistakes.
Google Analytics
Connected to Google Search Console. Daily reports of positions and clicks, we know which pages require cutting without clicking on the panel.
Maintenance
A dozen or so customer pages under one panel. Updates, monitoring and backups run from one place instead of clicking on each page separately.
Advertising
Connected advertising account on Facebook and Instagram. Daily report: which ads eat up the budget and which are worth increasing. AI hints, the decision is made by a human.
Safety
Automatic monitoring on customer pages. After a recent attack, three types of viruses were recognized and removed in one day, without losing any page.
Concrete
Select the tier your company is at. You will see what we are doing at this stage and what we propose for the next one. The rest can wait.
Key question
Switch and see the difference. This is not an argument against the subscription, but a reason why there is the highest level of maturity.
Flow of
Each stage ends with a decision, not a smooth transition. You can get off on anyone and stay with what you already have. The report, code, keys, and documentation remain with you even if we disperse.
12 months, step by step
Concrete milestones from assessment to your own infrastructure. We adjust the pace to your scale and budget, but the sequence has been proven across more than a dozen implementations.
Foundation: we know where you stand, company accounts, first training.
AI enters the company's tools, we train teams role by role.
AI applications run in production, processes run without a human intermediary.
Your own AI infrastructure. For companies with sensitive data or a high query volume.
Let's start the conversation
A free strategic consultation is a typical first contact. For companies that are already committed, we have a one-day first stage of onboarding for you.
A short online conversation. You will tell us what you already know about AI, we will tell you what roadmap makes sense for you and from which level we start.
AI Transformation is a system change, not a tool purchase. A company that „implemented a chatbot" but did not change processes, did not train the team and did not set the rules, returns to old habits in the second quarter. Transformation is about moving through the next levels of maturity: from a single account, through company policies, to your own model in your infrastructure.
Implementation is a specific project: a RAG assistant on your documents, an email classifier, an invoice extractor. It takes 8 to 12 weeks and has a defined scope and budget.
Transformation is a transformation of the company through many stages. It starts with a maturity assessment, moves through rolling out tools and training the team, and ends with your own AI infrastructure. It takes 12 to 24 months. Deployments are its building blocks.
Level 4 (your own model) without first going through Level 2 (company rules) and Level 3 (integrated into processes) usually ends in failure. The team doesn’t know how to use it, processes aren’t ready, and an investment of several hundred thousand PLN doesn’t pay off because the foundation is missing. That is why the roadmap always starts at the level you are actually at.
Governance is the framework within which AI operates in the company: what the model sees (data access), what it can do (scope of permissions), how we log its activity (auditability), and who is responsible for the results (organizational accountability). We set this up BEFORE systems go live, not after an incident with a data leak or a wrong model decision.
Your own model (Level 4) makes sense when: (1) the data is sensitive and cannot leave the company, (2) the query volume is so large that a vendor subscription exceeds the cost of maintaining your own infrastructure, (3) you want full control over model versioning and tuning, (4) your industry requires technology auditability (finance, healthcare, law).
For most companies, Levels 2 and 3 are the target, and Level 4 is the future 2-3 years ahead.
The typical path from Level 0 to Level 3 takes 6 to 9 months. Implementing Level 4 takes an additional 4 to 8 months. The budget depends on company size: for an organization of 20-50 people, a full transformation through all levels is typically PLN 150,000-400,000 net spread over 12-18 months, with clearly defined milestones after each stage.
We give concrete ranges after the assessment and audit. You can step off after any stage and keep what we have already implemented.
Wondering where to start in your company? Take a maturity assessment (3 questions, no newsletter sign-up) or schedule a strategy consultation - 30 minutes, free, no obligation.