7
AI phone agents and chatbots
Phone calls and chats, case qualification, knowledge-base access and human handover.
3 Poland4 abroad
Practical AI for business · 29 years in IT
Give your team time back.
Process automation and AI.
You do not need to know whether you need an agent, OCR or a knowledge base. First, we understand the process. Then we test whether AI can help and how to measure the outcome.
- No obligation
- No technology guesswork
- Direct contact with the implementer
29 yearsin the IT industry
7AI solutions for calls and chat
9systems for email, documents and other workflows
7 companiesAI implementations and training
Where AI really helps
Automate work,
not jobs.
A strong first process happens frequently, follows a repeatable path, uses available data and produces a result that can be checked.
01
Email and customer service
The system reads messages, recognises intent, analyses attachments and drafts a response or routes the case.
less manual sorting → 02Documents, invoices and OCR
Read scans and PDFs, validate tax IDs, dates, rates and totals, and prepare data for ERP or accounting.
data ready for review → 03AI phone agents
Handle inbound or outbound calls, answer questions, collect data and know when to transfer to a person.
multilingual service → 04AI chatbot and RAG knowledge base
Answer from company procedures, documentation and policies, with sources and controlled responses.
knowledge on demand → 05Automated quotes and proposals
Analyse enquiries, identify missing details, select price-list items and prepare an estimate for approval.
from hours to minutes → 06Custom AI automation
Connect AI with CRM, ERP, email, files and APIs. AI interprets content while code enforces rules.
one consistent workflow →Experience in numbers
Working systems.
In Poland and abroad.
Client names remain confidential. These are production solutions and projects for which I was responsible for analysis, development or implementation.
9
Email, document and workflow systems
OCR, invoice extraction, coding, email classification, response drafting and other repetitive tasks.
5 Poland4 abroad
2
Automated quoting systems
From enquiry analysis and price lists to an estimate ready for review.
1 Poland1 abroad
2
Company RAG systems
Controlled answers based on internal company knowledge.
Poland7
Companies supported through AI implementation and training
Practical use of AI in everyday team workflows.
PolandAI in practice
Latest on Instagram.
Short examples, tools and practical observations from AI implementation.
https://sajtowo.com.pl/framework-dla-deweloperow Mogę szybko i sprawnie stworzyć stronę Twoją lub twojej inwestycji. Wejdź na sajtowo.com.pl i sprawdź demo. #de...
21.10.2026 · Instagram ↗
Pierwszy przegląd nowości ze świata AI! 🤖 Google prezentuje Gemini 4 Argon, Anthropic inwestuje w ludzi, a Mistral AI rozwija technologie dla przemysłu. Co jes...
06.10.2026 · Instagram ↗
Jak wybrać w firmie pierwszy proces do automatyzacji? To proste. Wybierz taki który: 1. Jest powtarzalny 2. Zajmuje czas 3. Jest mierzalny 4. Są dobre dane 5. D...
04.10.2026 · Instagram ↗
#AI przy weekendzie ;)
04.10.2026 · Instagram ↗
Piątek, 15:00, a projekt już oddany. Tak wygląda praca, gdy powtarzalne zadania przejmuje agent AI: dokumenty, faktury, pierwsza linia obsługi. Ludzie zostają p...
28.09.2026 · Instagram ↗
Myślisz o sztucznej inteligencji w swojej firmie, ale nie wiesz, od czego zacząć? 🤖 Spokojnie, nie musisz od razu rewolucjonizować całego biznesu. Zanim wdroż...
27.09.2026 · Instagram ↗
Wolisz pracować mniej, czy też zarobić więcej? #biznes #ai
26.09.2026 · Instagram ↗
Nie lubisz dzwonić do potencjalnych klientów? 📞 Pozwól AI wykonać pierwszy krok - zadzwonić, umówić rozmowę i wpisać spotkanie do kalendarza. 🤖 Wykorzystuj AI...
20.09.2026 · Instagram ↗A sensible first step
Evidence first.
Investment second.
We do not start with a large platform. We select one process, test real data and measure the result.
01
Process and outcome
Measure frequency, current labour time and the cost of errors.
02
Data sample
Review typical cases, exceptions and system access.
03
Prototype
Measure quality, operating cost and human checkpoints.
04
Implementation
Launch integrations, monitoring and gradual automation.
AI in practice
I use AI in my own work, too.
In AI News, I gather official announcements, prepare a weekly roundup and explain what the changes may mean for businesses.
Example budgets
See the scale.
Define the scope together.
First stepFree diagnostic call
Tell me what takes up your team's time. We will decide whether a paid test on real data makes sense and what it should prove.
Answers based on company documents and website content, with source references.
Lead collection, notifications, bookings and CRM or API integrations.
Scope depends on scenarios, telephony, languages and the company knowledge base.
Content and document analysis, validation and transfer to another system.
Enquiry analysis, price-list selection and a proposal ready for approval.
What do these amounts cover?
These are indicative implementation budgets for projects of similar scope, not an automatic quote for your company. Licences, AI model and API usage, telephony and infrastructure are charged separately. After the call and any prototype, you receive a proposal for a defined scope.
These examples are not binding offers or historical prices of completed projects. Shared infrastructure means a multi-module project is not necessarily the sum of its parts. EUR amounts are rounded commercial equivalents.
Free diagnostic call
Describe the problem.
I will call you back.
You do not need to choose a technology or write a specification. Just describe the work that takes up your team's time.
Contact within one business dayIn 15–30 minutes, we will discuss whether a test is worthwhile, what data it needs and a safe first step. No sales pressure.
Book a callabout 1 minute
FAQ
Short and specific.
Where should a company start with AI?
Start with one frequent process that consumes significant time and produces a result that can be checked. Test it on real data first.
Can AI operate completely automatically?
Simple and verifiable cases can. Exceptions and high-risk decisions should be stopped or escalated to a person.
Do we need to build a complete system immediately?
No. A prototype lets you measure quality, time and operating cost before making a larger investment.
Is the diagnostic call free?
Yes. We will clarify the problem and decide whether a paid prototype on real data is worthwhile. Prototype and implementation are quoted separately.
Personal data processing information
The data controller is Kordian Zadrożny. For personal data matters, contact kontakt@ai-wdrozenia.com.pl.
Form data is processed to respond to your enquiry and arrange a diagnostic call and, if you give separate marketing consent, send later information about services. Providing data is voluntary, but fields marked with an asterisk are needed to contact you about this enquiry.
The AI chat is stored on our server with your IP address and browser information, and sent to Mistral AI to generate replies and analyze the topic later. Do not enter confidential data. If you provide a phone number or email address, Kordian may receive an internal alert with those details and a summary even without a confirmed callback request. Such an alert is not marketing consent or a booked call. A confirmed callback remains a separate enquiry. You can also use the form.
Data will be retained for the period required to handle the enquiry and protect potential claims. Marketing data is retained until consent is withdrawn. You have the right to access, correct, erase or restrict your data, object to processing, object, withdraw consent and lodge a complaint with the relevant supervisory authority.
For information about data recipients, retention periods and technical services, email kontakt@ai-wdrozenia.com.pl.