AI adoption and business-process automation: AI takes on tasks of any complexity, adapting to your business’s unique logic and needs.
Wizard AI Our own AI agent. It talks to inbound leads on Telegram and on the site, qualifies them, and passes the manager everything needed to reply.
DocuFlow AI reads incoming documents and turns them into structured data; a person only checks the result. That takes hours of manual work off the team.
AI adoption and business-process automation is the integration of large language models (LLM) and machine-learning algorithms into a business’s live IT infrastructure.
In the project with an AI agent for incoming requests, manual processing that took hours now takes about 2 minutes.
What tasks the service fits:
Data processing
Parsing complex documents and automatically moving them into internal record systems.
Routine automation
Delegating monotonous tasks to neural networks: from writing emails and reports to handling requests.
Connecting systems
Building unified processes where the AI agent decides based solely on your data.
Beetrail adopts AI and automates business processes: it embeds AI agents into request handling, documents and support. Our own product with an AI agent handles 100% of incoming requests 24/7. The first reply to a lead dropped from hours to 5 minutes. It suits businesses drowning in manual request and document processing, or who 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 determines type, urgency and the required action. It spots missing, duplicate or erroneous items with no staff involvement.
Finished result
It replies to the client, creates a task, fills out a form, and hands to a human only what needs a human.
Business-process automation through AI runs in a few stages.
Free assessment
A free 15-30 min call where we study the task, your processes and data. We assess where AI truly delivers and where it is overkill, and suggest simpler alternatives when they fit.
Pilot launch
We assemble a small working version on one of your processes so you see how AI performs on real data before the full build. The pilot cost is credited toward further development.
Feature development
We build the full solution on top of the pilot: embed AI into your processes, extend the feature set for real scenarios and test it on your data.
Monthly support
We maintain the system after launch: watch AI quality, retrain on new data and grow the feature set as your needs scale.
Alexander Konovalov
Founder "InterPensioner"
A professional team that is pleasant to work with. They competently solve problems and are focused on results.
Egor
COO "Joboard"
Convenient application and excellent support. We were completely satisfied with the team's work.
Alisher
YPA "Dala Qyrandary"
A professional team that is deeply immersed in the task. All stages of work were clear, and we were completely satisfied with the result.
Evgeny
CEO "SiegelAgency"
Everything was done quickly, qualitatively and in full. Communication with the team was easy and understandable.
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 to create not just an AI chat, but a clear voice assistant with a lively visual identity. The team proposed a solution that covered the MVP goals while leaving room for further product growth and new AI capabilities.
We adopted AI ourselves, not just show it to clients
Our own product Wizard AI handles 100% of incoming requests in 5 minutes. We didn’t jump on AI for the hype — we’ve run it for years.
We drive AI adoption to the finish
We’re accountable for the AI agent running on your real data in production and being embedded in the process.
We set the AI agent’s boundaries sensibly
The agent handles only routine tasks and passes non-standard cases to a specialist. We’re accountable for where that line runs.
AI takes on routine, repetitive tasks and passes non-standard cases to a human — we set and own that boundary. Before full rollout we assemble a pilot on one process so you see the reliability on real data.
A chatbot answers a question by script; an AI agent decides for itself which steps to take and in what order: it reads the request, classifies it, performs the action and drives the task to a result in your systems.
The agent works on your data inside your perimeter, with access granted narrowly per tool (email, CRM, API). We fix the allowed boundaries and don’t use your data outside your process.
The cost depends on the process, task volume, integrations and logic complexity. We break the task down 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, and its cost is credited toward the full implementation. Mobile app and web platform projects typically start from $30,000.
We’ll have a 15-30 min call, break it down for free and tell you what to automate first and what effect to expect.