AI strategy and audit
We start from numbers, not assumptions. We map the existing processes, measure where time and money leak out, and rank the AI initiatives by effort against effect.
- Business audit
- Data and process analysis
- Implementation roadmap
AI Business Transformation
We find the growth points, build the strategy and implement AI solutions that increase the efficiency and profit of your business.
Working with clients worldwide
A personal message
AI is not the goal. It is a tool, and it has to turn into hours saved and money earned.
I built LoopHub to help companies do more than just use AI tools — to implement systems that genuinely transform the business and produce a measurable result.
Problems businesses run into
Four situations we find in almost every company before the work starts.
People spend hours on routine work that could be automated end to end.
Hard to identify the growth points and estimate the real effect of adopting AI.
The solutions were never wired into the processes, so they never paid off.
There is no team and no experience to carry AI initiatives through to the end.
What we do
Five areas that cover the whole path — from the first analysis to scaling the result.
We start from numbers, not assumptions. We map the existing processes, measure where time and money leak out, and rank the AI initiatives by effort against effect.
We start from numbers, not assumptions. We map the existing processes, measure where time and money leak out, and rank the AI initiatives by effort against effect.
We connect the systems you already run and remove the manual work between them. What you get is a flow that runs on its own while the team simply oversees it.
Agents that work with your knowledge base, answer customers, prepare documents and hand the difficult cases to a person — with clear rules and a full history of every decision.
Training on your real processes, not on generic examples. You are left with written guidelines, a prompt library and people who can carry the implementation forward.
After launch we watch the metrics, fix what is not working and gradually extend the system to the next set of processes.
How we work
A transparent process where at every stage you know what is happening and why.
We analyse the business, the processes and the data to find the growth points.
We build the implementation plan with clear priorities and an expected effect.
We build the solutions and integrate them into your infrastructure.
We put the systems into service, train the team and manage the transition.
We measure the results, optimise the processes and scale what works.
Projects and results
Projects we built and shipped. The figures shown are the ones measured together with the client.
Document automation
A Telegram bot that generates legal contracts automatically: it extracts data from PDFs and images, then fills in the right templates.
What we built
Accounting
A platform for an accounting firm: financial calculators, an AI chatbot for consultations and online client booking.
What we built
AI product
A mobile app built around an AI model: personalised interpretations, daily forecasts and a chat with a virtual assistant.
What we built
Health & fitness
A Telegram app with three AI specialists — a nutritionist, a trainer, and a psychologist — working together on the user's health, 24/7.
What we built
Why LoopHub
We combine business expertise with technical delivery. We do not hand a report to a team that then has no idea what to do with it.
The engagement ends with a working system and an effect you can measure, not with a slide deck.
We work with companies across different industries and markets worldwide.
Every solution has a clear business goal and a return on investment that can be verified.
Technology and partners
We pick the technology to fit the task, not the other way round.
The next step
Book a free audit and find out exactly where AI will have the biggest impact in your company.
We will get back to you within a few working hours with a time for the audit.
Frequently asked questions
We work with small and mid-sized companies that already have settled processes and want to make them more efficient. The industry matters far less than the willingness to change how the work is done.
No. We handle the technical side entirely. What we need from you is one person who knows the processes and can make decisions.
The audit takes one to two weeks. The first automated process usually reaches production in four to eight weeks, depending on complexity and the state of your data.
Models from OpenAI and Anthropic, infrastructure on AWS or Google Cloud, automation in n8n, and custom integrations in Node.js and Python. We choose the stack to fit the task.
The cost depends on the scope. The initial audit is free — afterwards you get a concrete estimate for each stage, with no hidden extras.
Before we start we record the baseline metrics: time per operation, cost, error rate. After the rollout we compare the same numbers — which is why the result can be verified rather than merely claimed.
That is the normal starting point. Preparing the data is part of the project: we clean it, give it structure, and only then build the solution on top of it.
We work on your infrastructure or in an isolated environment, sign a confidentiality agreement, and limit the models' access to only the data the task requires.
We are recording the founder's message right now. In the meantime you can talk to Roman directly — he answers every enquiry personally.
Message Roman