Across entrepreneurship, business and digital systems
ZIBATISCAREER INTELLIGENCEDiscuss a role ↗FARZAM KHAKBAZ / CAREER INTELLIGENCE PROFILE
I turn complex business problems into AI-enabled systems that teams can actually use.
I work across business strategy, AI systems, digital products, automation, knowledge architecture and growth—especially in healthcare and expertise-heavy businesses.
AI Systems & Business Transformation StrategistFounder, Zibatis · AI Products · Automation · Knowledge Systems · Growth & Digital Experience
BUSINESS KNOWLEDGE AI PRODUCT WORKFLOW GROWTH
FARZAM KHAKBAZStrategy, multidisciplinary delivery and company-building
Laboratory sciences, human genetics and hospital context
Business ↔ domain expertise ↔ product ↔ technical delivery
Six ways I create value inside a complex organisation.
The capabilities are organised around outcomes and implementation—not around a long list of tools.
AI Transformation & Opportunity Design
Identify where AI can create operational value, prioritise use cases and turn the right one into a bounded pilot or MVP.
- Opportunity Map
- Use-case prioritisation
- Pilot design
AI Systems & Workflow Architecture
Design role logic, knowledge boundaries, tool access, human approval and automation flows around real work.
- Agents
- Human-in-the-loop
- Workflow
AI Product Strategy
Shape assessment tools, decision-support systems, knowledge assistants, internal products and AI-native services.
- Product logic
- Rule engine
- Decision support
Knowledge & Retrieval Systems
Structure domain knowledge, entities, retrieval boundaries and evidence so people and AI can use the same source of truth.
- Knowledge architecture
- Semantic retrieval
- Structured data
Business, Brand & Growth Systems
Connect positioning, GTM, customer journeys, content architecture, conversion and operating models.
- Business development
- Brand strategy
- Growth
Cross-functional Implementation
Translate between founders, domain experts, creative teams, marketers and developers—reducing the loss between intent and delivery.
- Translation layer
- Scope
- Implementation
A role-fit router for different transformation contexts.
The title can adapt to the mandate. The underlying value remains consistent: connect business reality, expert knowledge, AI and implementation.
AI Transformation
For organisations that know AI matters but need to decide where it should enter real operations.
Relevant roles
- AI Transformation Strategist
- AI Enablement Lead
- AI Solutions Strategist
- Fractional AI Lead
AI Products & Automation
For teams turning AI into a usable product, service or repeatable workflow.
Relevant roles
- AI Product Strategist
- AI Automation Consultant
- Applied AI Product Lead
- AI Workflow Architect
Knowledge & Content Intelligence
For expertise-heavy organisations whose knowledge is valuable but fragmented.
Relevant roles
- Knowledge Systems Strategist
- AI Content Systems Lead
- Semantic / Retrieval Strategist
- AI Knowledge Product Consultant
Healthcare AI & Digital Transformation
For environments where expert knowledge, trust, accuracy and human review are non-negotiable.
Relevant roles
- Healthcare AI Strategist
- Healthcare Digital Product Lead
- Patient Journey / AI Workflow Consultant
- AI-enabled Healthcare Growth Lead
03 / HOW I THINK
“Entrepreneurship led me to marketing. Systems thinking made it scalable. AI became the multiplier.”
A broad career becomes coherent when the same problem-solving method is visible across every domain.
- 01OBSERVE
What is actually happening?
- 02DIAGNOSE
What is the underlying system problem?
- 03ARCHITECT
What should people, data, AI and processes do?
- 04BUILD
What is the smallest useful implementation?
- 05VALIDATE
Does it improve the real workflow?
- 06SYSTEMISE
Can the team repeat it without me?
Not a list of jobs. An evolution in how I solve problems.
Medical Laboratory Sciences → Human Genetics
Evidence, accuracy, causality, uncertainty and complex systems became part of the way I frame problems.
Group buying → Fashion → Hospitality
Markets, offers, customers, operations and distribution turned ideas into consequences—and failure into a learning method.
Strategy → Brand → Growth → Digital Systems
Building a multidisciplinary business made coordination, repeatability and operating systems as important as ideas.
Knowledge → Workflow → Product → Automation
AI became useful when it stopped being a novelty and started multiplying a well-defined system.
05 / COMPANY-BUILDING EXPERIENCE
Founder & Strategy Lead — Zibatis
2018—Present
Zibatis became the environment where strategy, brand, domain knowledge, digital experience and AI had to work as one delivery system.
Positioning, offers, opportunity diagnosis, GTM and client development.
Cross-functional coordination across strategy, content, design, video, web and AI-assisted work.
Briefs, SOPs, approval paths, knowledge bases, workflows and repeatable quality controls.
Healthcare journeys, assessment products, dashboards, content systems and automation architecture.
Systems are grouped by the problem they solve—not by a vanity count.
Each family represents a repeatable architecture. Individual examples are evidence objects inside that family.
Explore the full Ventures & AI Systems build portfolio ↗01Knowledge IntelligenceMake domain knowledge traceable and usable.+
- Dental KnowledgeGPT
- Semantic Retrieval Architect
02Content IntelligenceCoordinate research, writing, strategy and quality.+
- Medical Content Orchestrator
- BrandMaster
03Search & PublishingTurn structured knowledge into retrievable, publishable assets.+
- Schema Optimizer
- Page Builder
04Creative IntelligenceGive generative workflows stronger taste, continuity and direction.+
- Creative IDE
- Taste Architect
- Dental Luxury Image Studio
05Healthcare AISupport patient education, assessment and domain-grounded decisions.+
- Dr. YK Diet
- Healthcare assessment systems
06Brand & Growth IntelligenceConnect brand context, content and growth decisions.+
- Zibatis Marketing GPT
- AhanToday Brand Master
Proof of translation: domain knowledge into usable systems.
No fabricated performance metrics are used. Each case shows the problem, my role, the architecture and the evidence currently available.
Bariatric Assessment Platform
- PROBLEM
- Turn complex clinical, behavioural and business requirements into a safe, understandable assessment journey.
- MY ROLE
- Business analysis · product logic · decision architecture · integration specification
- EVIDENCE
- Question logic, stop rules, data entities, REST requirements and management workflow.
- 01Clinical knowledge
- 02Conditional flow
- 03Rule engine
- 04Personalised output
- 05Consent & lead flow
AI Medical Content Operating System
- PROBLEM
- Coordinate research, medical accuracy, strategy, SEO, structured data, visual briefing and human review.
- MY ROLE
- System architecture · GPT orchestration · quality and handoff logic
- EVIDENCE
- A role-based workflow that makes review points and source responsibility explicit.
- 01Research
- 02Domain writing
- 03Strategy
- 04Search
- 05Schema
- 06Human QA
NIAAVA Control Center
- PROBLEM
- Help a non-SEO clinic manager understand a complex digital programme without learning specialist terminology.
- MY ROLE
- Product framing · information architecture · management UX · KPI explanation layer
- EVIDENCE
- A private management interface connecting pages, tasks, queries, KPIs, feedback and decision context.
- 01Management summary
- 02Meaning
- 03Cause
- 04Action
- 05Technical detail
Semantic & AI Search Architecture
- PROBLEM
- Structure entities, evidence and page relationships so knowledge remains consistent across search and AI retrieval.
- MY ROLE
- Entity architecture · content knowledge graph · schema and retrieval model
- EVIDENCE
- Schema compiler logic and evidence-aware content architecture.
- 01Entity salience
- 02Persistent IDs
- 03Graph connectivity
- 04Citation readiness
- 05Retrieval boundaries
Zibatis Business Intelligence Diagnostic
- PROBLEM
- Turn business ambiguity into a structured diagnosis without forcing clients to know the service they need.
- MY ROLE
- Diagnostic model · branching logic · recommendation architecture · pilot framing
- EVIDENCE
- A problem-led diagnostic covering brand, website, content, CRM, ERP, data and AI.
- 01Business signal
- 02Dynamic questions
- 03Gap & impact
- 04System recommendation
- 05Pilot brief
08 / DOMAIN ADVANTAGE
Healthcare & expertise-heavy businesses
My scientific and hospital background makes me particularly effective where accuracy, expert knowledge, user trust and human review matter.
Patient education · clinical content · assessment tools · patient journey
Knowledge capture · authority · consultation flows · decision support
Complex offers · structured knowledge · B2B journeys · content intelligence
A short evidence map—not a logo wall.
Dr. Yaser Kabirizadeh
NIAAVA
Dr. Fahimeh Salamat
Ahan Today
Payesh Sayal
Zibatis
Ferengi
Va3manchand
Current areas of exploration
These are research territories—not claims of academic or engineering specialisation.
01Agentic Web02WebMCP03Human–AI Interaction04Knowledge Systems05Semantic Retrieval06Perception Engineering07Cognitive Design08Calm Technology09Generative Creativity
11 / EDUCATION
Scientific training shaped how I handle evidence, uncertainty, causality and complex systems.
Human Genetics
Iran University of Medical Sciences
Medical Laboratory Sciences
Arak University of Medical Sciences
Enough technical depth to architect, specify and coordinate delivery honestly.
Tool fluency supports the work; it is not the identity. Architecture and specification are distinguished from deep software engineering or ML research.
AI & LLM
ChatGPT · Custom GPT systems · prompt/context systems · RAG concepts
Automation
n8n · APIs · webhooks · Google Sheets workflows
Web & Product
WordPress · REST API specifications · MySQL data-model specifications · GitHub · Next.js delivery coordination
Growth & Search
Search Console · Analytics · semantic SEO · structured data · content architecture
My career looks broad because the problems I work on are broad.
A real transformation problem rarely belongs to marketing, product, AI or operations alone. My role is often to understand enough of each layer to connect them into one working system.
14 / CV FORMATS
Two focused CVs. One consistent positioning.
The executive version is designed for recruiter review. The portfolio version adds systems, projects, architecture and evidence for hiring managers.
Let’s build something that has to work in the real world.
I am open to international conversations where business ambiguity, expert knowledge and implementation need to become one usable system.