AI agents are autonomous, goal-driven systems that can plan actions, interact with tools, analyze data, and make decisions across complex business processes.

Unlike traditional chatbots or RPA scripts, AI agents operate with contextual understanding, adaptive logic, and continuous feedback — enabling scalable automation without rigid rules.

Zentavor designs enterprise-grade AI agents that integrate seamlessly into your infrastructure and deliver measurable operational and financial impact.

Typical business impact

30–60% in manual operational work

Reduction

cost per process execution

Lower

automation without increasing headcount

Scalable

decision-making across teams

Faster

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Autonomy

AI agents independently decide what actions to take based on goals, context, and real-time data — without predefined scripts.

Tool interaction

Agents can call APIs, query databases, trigger workflows, update systems, and collaborate with other agents.

Learning & adaptation

Performance improves over time through feedback loops, monitoring, and continuous optimization.

Process inefficiency

Manual workflows, handoffs, and approvals slow down operations and increase error rates.

Decision bottlenecks

Managers lack timely insights when decisions require data from multiple systems.

System fragmentation

Disconnected tools and data silos prevent end-to-end automation.

Ma’lumotlarni tahlil qiladi, tavsiyalar beradi va rejalashtirish hamda prioritetlashni qo‘llab-quvvatlaydi

Decision-support agentlar

Xodimlar uchun ichki assistentlar: tizimlar, bilimlar va workflow’larga kirishni yengillashtiradi

Conversational agentlar

Takrorlanuvchi operatsiyalarni bajaradi: data kiritish, tekshiruv, rутин qayta ishlash

Task agentlar

Operations

Hodisalarning avtomatlashtirilgan boshqaruvi, hisobotlar, biznes-jarayonlar va operatsion tahlil

Finance

Invoice qayta ishlash, reconciliatsiya, prognozlash va compliance tekshiruvlari

Sales & Marketing

Lead qualification, CRM yangilash, funnel analitikasi va pipeline monitoring

HR

Kandidatlarni skrining qilish, onboarding, ichki knowledge’ga kirish

IT va Support

Ticket routing, diagnostika, incident resolution va knowledge retrieval

Executive management

Dashboard’lar, alert’lar, scenario tahlili va KPI monitoringi

Discovery & strategy

Biznes maqsadlari, KPI, jarayon xaritasi, feasibility baholash va ROI gipotezasi

Architecture design

Agent rollari, orkestratsiya mantiqi, data oqimlari va xavfsizlik chegaralari

Implementation

LLM integratsiyasi, tool calling, tizimlarga ulash, testlar

Production & optimization

Deploy, monitoring, feedback va doimiy optimizatsiya

Ma’lumotlarga kirishni boshqarish

Huquqlarni moslashuvchan taqsimlash, foydalanuvchi rollari hamda jamoalar va tizimlar o‘rtasida ma’lumotlarni izolyatsiya qilish

AI harakatlarining shaffofligi va nazorati

Nazorat, tahlil va talablarga muvofiqlikni ta’minlash uchun AI-agentlarning barcha so‘rovlari, javoblari va harakatlari bo‘yicha to‘liq tarix

Compliance’ga tayyorlik

AI-agentlarni joriy etish bo‘yicha qisqa baholash formati va reja

End-to-end responsibility for design, delivery, and evolution of AI agents.

Dedicated AI agent team

AI experts embedded into your team to accelerate specific initiatives.

Team augmentation

Short engagement to assess feasibility, risks, and implementation plan.

Agent audit & roadmap

Describe your processes and challenges — we will design an AI agent architecture aligned with your goals, security requirements, and scale.