AI automation: AI takes on the routine work, however involved the process, and adapts to the way your business already runs. We fit the solution to your business instead of dropping in a template.
AI automation is the integration of large language models (LLMs) and machine-learning algorithms into the IT infrastructure a business already runs on.
In our project with an AI agent for inbound requests, work that used to take hours now takes about two minutes.
What this service is good for:
Data processing
Parsing complex documents and moving them into your internal systems of record automatically.
Routine automation
Handing repetitive work to AI models: from writing emails and reports to processing requests.
Connecting systems
Building unified processes where the AI agent decides based solely on your data.
Beetrail does AI automation for business processes: we embed AI agents into request handling, documents and support. Our own product with an AI agent covers 100% of incoming requests 24/7, and the first reply to a lead dropped from hours to 5 minutes. It fits businesses drowning in manual request and document processing, and those that tried AI but never got past the demo.
Information processing
The agent connects to email, messenger, CRM, API, etc. It reads every incoming request or document in real time.
Data classification
It works out the type, the urgency and the action needed. It flags anything missing, duplicated or incorrect — without anyone stepping in.
End result
It replies to the customer, creates a task, fills out a form and passes on only what actually needs a person.
Automating a business process with AI takes a few stages.
Free discovery call
A 15–30 minute call where we look at how your work is set up and where time gets lost. We say where AI actually pays off and where it is overkill, and suggest a simpler route if there is one.
Pilot
We build a small working version for one of your processes so you see how AI performs on real data before the full build.
Full build
We build the full solution on top of the pilot: embed AI into your processes, extend it to cover real-world cases and test it on your data.
Monthly support
We look after the system after launch: monitor the quality of its output, retrain it on new data and add features as your needs grow.
Dmitry
Founder, MomSmile
They understood us from the first word — not as programmers talking to programmers, but as ordinary people. And it was delivered at the price we agreed on from the start.
Alexander Konovalov
Founder, InterPensioner
A professional team and an easy one to work with. They handle the problems properly and keep their eyes on the result.
Alisher
Head of the Dala Qyrandary movement
A professional team that really got into the problem. Every stage of the work was clear to us, and the result was exactly what we wanted.
Egor
COO, Joboard
An app that is genuinely easy to use, and support that is always there. We were completely happy with how the team worked.
Evgeny
CEO, Siegel Agency
Everything was delivered fast, done well and done in full. Talking to the team was easy and straightforward.
Ilya
Founder, Hedgie: Learn English Grammar
The team helped turn the Hedgie idea into a clear and engaging product that makes learning grammar easier and more enjoyable. We especially liked how quickly the MVP came together, while still keeping the user experience simple and creating a strong foundation for the app’s future growth.
Valery
Founder, AI Assistant
The goal was not just another AI chat, but a voice assistant people could understand, with a character that felt alive. The team proposed a solution that met the goals of the first release and still left room to grow the product and add new AI capabilities.
We’ve adopted AI ourselves — we don’t just sell it to clients
Our own product, Wizard AI, replies to every inbound request within 5 minutes. We didn’t jump on AI for the hype — we’ve run it for years.
The agent runs on your real data
It is wired into the systems you already use: email, CRM, the tools your team works in every day.
We draw sensible boundaries for the agent
The agent handles only routine work and hands edge cases to a specialist. That boundary is set together with you before launch.
AI takes on routine, repetitive work and hands edge cases to a person, and that boundary is set before launch. Before full rollout we run a pilot on one process so you can see how reliable it is on real data.
A chatbot answers from a script; an AI agent works out the steps itself: it reads the request, classifies it, takes the action and drives the task through to a result in your systems.
The agent works on your data inside your own environment, with tool-by-tool access scoped to the minimum (email, CRM, API). We lock those permissions down and never use your data outside your process.
The cost depends on the process, task volume, integrations and logic complexity. We scope the work for free on a 15–30 minute call and give you a clear estimate. AI automation starts with a pilot on a single process — 2 to 4 weeks; we scope and price the pilot on that call. Mobile app and web platform projects typically start from $30,000.
Start with repetitive work where a large flow of similar requests or documents piles up — that is where AI pays off fastest. On the free discovery call we find that spot and propose a solution for it, instead of trying to automate everything at once.
It is built for you. Off-the-shelf products rarely fit how a company actually works, so we design the automation around your logic: we look at how things run today, pick the model and build a solution that works on your data. We start with a pilot to prove it before the full rollout.
We’ll get on a 15–30 minute call, look at it for free and tell you what to automate first and what impact to expect.
