AI agents · Telegram bots · AI infrastructure
We build and connect AI agents into the tools you already use — live in 3–6 weeks — so your team stops losing hours to manual replies, lead sorting, and reports, without losing control.
Anonymous delivery patterns
We show the workflow that was broken, what was built, and what changed after launch.
73% reduction in manual triage time. Sales team reached handoff-ready speed within 3 weeks of launch.
First response improved from 4+ hours to under 45 minutes. 68% of routine requests handled without human involvement.
Site and bot launched in 3 weeks. Every lead is now qualified automatically and lands in the CRM without manual sorting.
Where it matters
The goal is not a demo agent. It is a dependable operating model that teams can run under real pressure.
Qualify leads, route urgency, and keep intake clean across forms, Telegram, CRM, and email.
Cut manual lead triage by up to 73% and reach handoff-ready speed in weeks.
Handle repetitive support, surface the right context, and escalate edge cases with structure.
First response drops from hours to minutes, with most routine requests handled automatically.
We implement AI infrastructure as a service: agents, CRM, n8n, Telegram, and email connected into one AI-driven operating layer your team controls.
The business runs on one connected AI layer instead of scattered tools and manual handoffs.
We build Telegram bots, mini apps, and websites that connect to your AI agents and CRM from day one, instead of living apart from them.
Clients land straight inside the workflow — from Telegram or the site — with no gap between tools.
Fast start
Low-cost entry points for standard tasks. Start small, see the result, then scale into a full system.
Delivery rhythm
We map the bottleneck first, design the operating model around it, launch into live conditions, then refine the edge cases.
We identify where time, revenue, trust, or visibility is currently being lost.
Agent roles, routing, prompts, and integrations are defined as one system.
The build connects to real tools and teams instead of staying trapped in a demo environment.
Prompts, edge cases, reporting, and operator controls are tuned after exposure to actual use.
FAQ
Sturox designs AI agents, Telegram bots and apps, websites, automation, and connected operating systems around lead intake, support, and routing.
No. The focus is the full operating layer: AI behavior, automations, integrations, handoffs, and the control surfaces people use after launch.
It is a service where we design and deploy the complete AI layer of a company: AI agents, Telegram bots, CRM connections, and automation working as one system. We audit the processes, build the infrastructure, launch it inside your existing stack, and support it after launch.
A clear description of the pressure, the current stack, and who needs visibility after the system goes live.
Most projects go from brief to live system in 3–6 weeks. Complexity, the number of integrations, and how many agents are involved determine the final timeline.
Scope determines price. Sales and support agents typically start from $2,000–$2,500. Larger connected systems run from $5,000 upward. Every engagement starts with a scoped brief.
Primarily CRM systems, Telegram, email, n8n, Notion, and internal dashboards. If the tool has an API, it can be connected.
No. We handle architecture, integrations, and deployment. You need to understand the workflow that needs fixing and who will use the system after launch.
We stay involved for refinement: edge cases, prompt tuning, routing adjustments, and operator visibility improvements based on real usage.
An AI sales agent answers inbound questions, handles objections, and guides prospects toward payment across Telegram, web, and email — working 24/7 and routing only the cases that genuinely need a human.
A chatbot follows fixed scripts. An AI agent understands context, takes actions across your CRM and tools, and completes a full workflow end to end instead of only replying.
Yes. It resolves repetitive requests instantly from your knowledge base and escalates complex cases with full context attached, so response times drop without losing quality.
Yes. Agents qualify leads and answer support in English, Spanish, Russian, Ukrainian, and more, so you can serve international audiences from a single system.
Answers are grounded in your own data and business rules, with retrieval, guardrails, and escalation paths — so uncertain cases are handed to a human instead of guessed.
Yes. Agents connect through your existing tools and APIs with scoped access, and sensitive data stays inside your stack rather than being exposed publicly.
Insights
Practical articles on building AI systems that survive real usage.
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Quick brief
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