AI will replace your whole team.
It takes the repetitive bits nobody misses. Your people keep the judgement calls, the relationships and the final say.
We put AI to work on the boring parts of your business: answering the same question for the hundredth time, retyping invoices, hunting through old documents. You keep the decisions. It takes the copy-paste.

Everyone has now seen an AI chatbot explain, with total calm, something that never happened. In a demo that’s funny. In front of your customers, it is a support ticket with extra steps.
The trick is not a cleverer model. It’s a smaller job, your own documents as the source of truth, clear rules about what it may and may not answer, and a person who takes over when it isn’t sure.
So we start with one process, test it on real examples, and only then connect it to anything important. Boring? A bit. Also the reason it works on a Tuesday afternoon, not just in the demo.
Every business has a task nobody chose: reading the same kind of email, typing the same data into a second system, answering the same five questions. It is not hard work. It is just endless, and it eats the hours your team needs for the things only people can do.
Modern AI models are good at exactly this kind of work: reading, sorting, summarising and drafting. We connect them to your website, store or internal software, give them your own content and rules, and put a human checkpoint wherever a mistake would cost money or trust.
We start with one process, test it on your real examples and only then build it in. If a plain rule or a simple script does the job better than AI, we will tell you, and build that instead.
The AI answers from your content and stays inside the limits you set.
Important actions wait for a person to approve them.
If AI is the wrong tool, you hear it from us first.
AI will replace your whole team.
It takes the repetitive bits nobody misses. Your people keep the judgement calls, the relationships and the final say.
Just plug in a chatbot and you’re done.
A model without your data and your rules is a clever stranger. The useful work is connecting it to your systems, with limits.
If the AI said it, it must be true.
It is sometimes confidently wrong. So we make it answer from your documents, show where the answer came from and call a human when unsure.
An AI assistant for your website or store that answers visitors from your real products, prices and policies, and passes the tricky ones to you.
AI features inside your software: smart search that understands what people mean, summaries of long threads, and automatic sorting of requests.
Back-office automation for invoices, emails, orders and reports, so the data entry that eats Fridays happens by itself and gets checked on the way.
Integrations with AI models such as OpenAI, Claude and Gemini through their APIs, picked for the job and swappable later, so you are not married to one vendor.
An internal knowledge assistant for your team that answers from your own documents, so “where is that contract?” stops interrupting the one person who knows.
Guardrails and support: privacy, cost limits, monitoring and a clean handoff to a human, because a helper without brakes is just a faster way to make mistakes.
We sit down with you and pick one process worth automating: frequent, boring, clearly defined. Not “let’s add AI everywhere”, just the one task where it will clearly pay off.

We build a quick prototype and run it on your real examples: actual emails, actual invoices, actual weird customer questions. You see where it shines and where it stumbles before anything goes live.

We build the real thing and connect it to your website, software or inbox, with limits on what it may do and a person who can step in. We also use AI-assisted programming ourselves, and a human reviews every line.

After launch we watch quality, cost and the questions it couldn’t answer, then improve it. A good assistant gets a little sharper every month, the way a good colleague does.

Can’t find your answer? Write to zdravei@rastezh.bg.
Yes, sometimes, like people do, and anyone who promises otherwise is selling something. That is why we build around it: the assistant answers from your own documents, has clear limits on what it may say or do, shows where an answer came from and hands over to a person when it is unsure. Before launch we test it on real examples, and after launch we read what it got wrong and fix it. Not perfect, but checked and improving.
We treat it as a design question from day one. Together we decide exactly which data a task is allowed to send to a model, keep personal details out wherever we can, and use the business APIs of the AI providers rather than random consumer tools. What goes where is agreed in writing before we build, and you can always ask us to explain a connection in plain words. If a task is too sensitive for an outside model, we will tell you and find another way.
Usually you do not need to start over. If your system has an API or a database we can reach, we can teach it to read, sort, summarise and answer, right inside the screens your team already knows. In the first conversation we check what you have, which task would benefit first and whether AI is even the right tool, because sometimes a plain script does the job better and costs less to run. New brain, same body. If the old system is truly stuck, we will say so honestly.
Models can, which is why we build around that. Answers come from your own documents, uncertain cases go to a human, and we test on real examples before launch. We won’t promise perfection, and neither should anyone selling AI.
We decide together what is allowed to reach a model, keep personal data out of it where possible and explain in plain words what goes where. If a task shouldn’t touch an outside model at all, we say so.
Yes, AI-assisted programming makes us faster, and a human reviews every line before it ships. The tool drafts, the developer is responsible.
AI is a very fast intern: great at drafts, still needs a manager.
A good assistant knows when to keep its hands off the wheel.
Anything that touches money, contracts or customers keeps a human approval step.
Models can be confidently wrong. We design for that with sources, checks and a human handoff.
We agree what may reach a model and keep sensitive details out. If a task is too sensitive, we say so.
Models change fast. We keep the connection swappable, and the code and access are yours.
It does the repetitive reading and typing, so people have time to think.
We use AI-assisted programming because it makes us faster at the dull parts: boilerplate, first drafts, tests nobody wants to type. That speed goes into more thinking about your problem, not into shipping more unchecked code.
A model writing a function does not make it trustworthy. Every line is reviewed and tested by a person who can explain what it does and why. The same goes for the AI features we ship to you: tried on real examples first, watched after launch.
If something looks off, tell us. A good AI project is a conversation, not a magic trick.

Smart enough to help. Humble enough to ask.
Free review, no strings attached.
Describe the process that makes everyone sigh, even in one messy sentence. We reply within 24 hours on business days and tell you honestly whether AI is the right tool or whether a simple script will do.