Generic answers do not match business reality.
AI AGENTS & CUSTOM GPT SYSTEMS
AI creates value when it has a role, knowledge and clear boundaries.
Zibatis agents are designed around verified knowledge, permitted tools, controlled memory and human escalation.
Zibatis agents are designed around verified knowledge, permitted tools, controlled memory and human escalation.
KNOWLEDGEROLEMEMORYPERMISSION
UNDERSTANDAGENT
TOOLSACTIONHUMAN HANDOFF
NOISE SIGNAL UNDERSTAND DECIDE ACT
SignalIntelligenceAction
01 / PROBLEM
A chatbot is not enough
عامل هوش مصنوعی یک نقش در سیستم است، نه یک نمایش نمایشی.
Internal knowledge is hard to find and update.
Uncontrolled action creates trust and security risk.
02 / SYSTEM MODEL
Five parts of an operational agent
01
نقش و هدف
02
دانش
03
ابزارها
04
حافظه و زمینه
05
دسترسی و مجوزها
06
ارزیابی و مرزهای حفاظتی
07
اقدام و ارجاع به انسان
03 / DELIVERABLES
From design to quality lab
Use-case and priority map
Knowledge base and access policy
Role-based agent and tool connections
Evaluation, error logging and improvement
METHOD / GOVERNANCE
امنیت، حالتهای خطا و مالکیت داده
منبع، مالک و دورهٔ نگهداری داده روشن است.
عامل فقط حداقل ابزار و دادهٔ لازم را میبیند.
پاسخ اشتباه ثبت و ارزیابی میشود و در نقاط حساس به انسان ارجاع داده میشود.
نسخه، گزارش رخداد و ارزیابی هر تغییر قابلردیابی است.
04 / DELIVERY METHOD
From a bounded problem to a testable change.
- 01Diagnose
- 02Architect
- 03Pilot
- 04Measure
- 05Scale
01نمونهٔ اولیه: اعتبارسنجی نقش با دادهٔ محدود
02پایلوت: اجرا با مسئول، KPI، دسترسی و تحویلگیری روشن
03بهرهبرداری: پایش، ارزیابی، امنیت و مدیریت تغییر
هیچ نمونهٔ اولیهای بهعنوان محصول آمادهٔ بهرهبرداری معرفی نمیشود. اقدام حساس، دسترسی و داده باید حداقلی، ثبتپذیر و قابلارجاع به انسان باشد.
FIT / ANTI-FIT
Is this system a fit?
A fit when
- جریان کاری تکرارشونده و منبع دانش معتبر
- مسئول مشخص و امکان ارزیابی
Not a fit when
- گفتوگوگر نمایشی یا اتوماسیون بدون فرایند روشن
- تصمیم حساس بدون بازبینی انسانی
PROOF / ARTIFACT
جریان کاری و تصویرِ بدون اطلاعات محرمانه؛ بدون ادعای دقت یا صرفهجویی اندازهگیرینشده.
05 / APPLICATION
Real scenarios
Sales agent grounded in approved sources
Expert content assistant with brand rules
Operations agent for summaries, follow-up and tasks
EVIDENCE BEFORE CLAIMS
Every claim should go only as far as its evidence allows.
- 01Problem
- 02Diagnosis
- 03Decision
- 04Artifact
- 05Operational
- 06Outcome
06 / TRUST
Key questions
GPT or Agent?+
A GPT responds; an Agent can move a workflow forward with permitted tools.
How are errors controlled?+
Grounding, access limits, test scenarios and human escalation are designed from day one.
Do you offer training?+
Samira Neshati’s AI course is an independent educational product; organizational systems are delivered through Zibatis.
07 / CAPABILITY LAYER
Capabilities in this system
01 / CUSTOM GPT
Custom GPT product design
We design a role-specific GPT with verified knowledge, a defined interaction experience and explicit evaluation scenarios.
Explore capability ↗02 / AGENT DESIGNBusiness AI agent design
We design an intelligent agent with a clear task, tools, memory, authority level and human handoff.
Explore capability ↗03 / AGENT INTEGRATIONAI agent integration for web, CRM and APIs
We connect agents to real tools with least-privilege access so every action is logged and reversible.
Explore capability ↗04 / AI GOVERNANCEAI agent guardrails, evaluation and governance
We define knowledge, access, action, privacy and human-escalation boundaries before an agent is scaled.
Explore capability ↗05 / MULTI-AGENTMulti-agent system design
We coordinate specialised agents through an orchestrator, data contracts and stop rules in one governed workflow.
Explore capability ↗08 / RELATED SYSTEMS
Related systems
01 / CORE SYSTEM
Business & Brand Intelligence
We turn market, audience, brand and performance data into a shared source of truth.
- Outcome
- Coherent decisions and clear positioning
Intelligent ERP & Business Systems
We connect processes, data and teams in a traceable operating system.
- Outcome
- Integrated, measurable operations