Lead operations
Inbound volume was growing faster than the team could qualify.
Outcome
73% reduction in manual triage time. Sales team reached handoff-ready speed within 3 weeks of launch.
International IT company
AI agents, automation, and operating systems for teams that need cleaner execution.
Sales AgentsQualify leads, route urgency, and keep intake clean across forms, Telegram, CRM, and email.
Support CopilotsHandle repetitive support, surface the right context, and escalate edge cases with structure.
Workflow AutomationConnect CRM, n8n, dashboards, email, and internal tools into one operating rhythm.
Visibility LayersGive founders and operators one place to see movement, blockers, and service health.
Anonymous delivery patterns
Real client names stay anonymous. The pressure and the outcome are shown regardless.
We show the workflow that was broken, what was built, and what changed after launch.
Support execution
The support team was drowning in repetitive requests and unclear escalation.
Outcome
First response improved from 4+ hours to under 45 minutes. 68% of routine requests handled without human involvement.
Founder visibility
Leadership could not see what was stuck across teams and channels.
Outcome
Weekly manual reporting replaced with daily automated alerts. Blocker intervention time dropped from days to same-day.
Where it matters
The core AI capabilities every execution-pressured team eventually needs — built as one connected system.
The goal is not a demo agent. It is a dependable operating model that teams can run under real pressure.
01
Sales Agents
Qualify leads, route urgency, and keep intake clean across forms, Telegram, CRM, and email.
02
Support Copilots
Handle repetitive support, surface the right context, and escalate edge cases with structure.
03
Workflow Automation
Connect CRM, n8n, dashboards, email, and internal tools into one operating rhythm.
04
Visibility Layers
Give founders and operators one place to see movement, blockers, and service health.
Delivery rhythm
Every project starts from pressure mapping and ends with a system that can survive real usage.
We map the bottleneck first, design the operating model around it, launch into live conditions, then refine the edge cases.
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01
Map the pressure
We identify where time, revenue, trust, or visibility is currently being lost.
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02
Design the operating model
Agent roles, routing, prompts, integrations, and dashboards are defined as one system.
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03
Launch inside the live stack
The build connects to real tools and teams instead of staying trapped in a demo environment.
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04
Refine under real conditions
Prompts, edge cases, reporting, and operator controls are tuned after exposure to actual use.
FAQ
Common questions about working with Sturox.
01
What does Sturox actually build?
Sturox designs AI agents, automation layers, dashboards, and connected operating systems around lead intake, support, routing, and founder visibility.
02
Do you only build chatbots?
No. The focus is the full operating layer: AI behavior, automations, integrations, handoffs, and the control surfaces people use after launch.
03
What should my first message include?
A clear description of the pressure, the current stack, and who needs visibility after the system goes live.
04
How long does a typical project take?
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.
05
What does a project cost?
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.
06
Which tools and platforms do you integrate with?
Primarily CRM systems, Telegram, email, n8n, Notion, and internal dashboards. If the tool has an API, it can be connected.
07
Do I need a technical team to work with you?
No. We handle architecture, integrations, and deployment. You need to understand the workflow that needs fixing and who will use the system after launch.
08
What happens after the system goes live?
We stay involved for refinement: edge cases, prompt tuning, routing adjustments, and operator visibility improvements based on real usage.
09
What is an AI sales agent and how does it work?
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.
10
What is the difference between an AI agent and a chatbot?
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.
11
Can an AI agent handle customer support on its own?
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.
12
Do your AI agents work in multiple languages?
Yes. Agents qualify leads and answer support in English, Spanish, Russian, Ukrainian, and more, so you can serve international audiences from a single system.
13
How do you keep the AI from giving wrong answers?
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.
14
Is my business data secure when using an AI agent?
Yes. Agents connect through your existing tools and APIs with scoped access, and sensitive data stays inside your stack rather than being exposed publicly.
Quick brief
Tell us what needs fixing — we reply with a clear next step.
Drop a short message or write on Telegram. No long forms, no discovery calls required.