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Our Mission
To build an AI-powered operating system for work — a coordinated team of specialised agents that can understand goals, plan tasks, collaborate, and execute approved actions with accountability.
The future of intelligent work
One Vision.
Multiple AI Minds.
Imagine a company where an AI CEO leads a team of specialised AI agents. Every department collaborates, every task has an owner, and every idea moves closer to execution — with humans in control.
A human-directed, multi-agent company concept by Zavik Space.
AI MISSION CONTROL
Concept Preview
Organisation map
◎Human FounderVision & approval
✦
RudraAI CEO
◉
NovaOperations Manager
＋More agentsMarketing · Finance · Infra
⚙Technology ManagerPlanned role
◇Research ManagerPlanned role
⌘
ByteSoftware Developer
◎
HawkQuality Assurance
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PrismResearch Specialist
Instructions flow down · Reports flow up · Human approval at critical steps
01AI CEO
06Core Departments
∞Potential Workflows
01Human Control Layer
Why we are building this
From a simple idea to an intelligent organisation.
AI should do more than answer questions. It should help organise work, collaborate across disciplines and turn approved decisions into meaningful outcomes.
🌌
Our Vision
To create a virtual AI company where intelligent agents work together like a real organisation, helping individuals and businesses operate with greater speed, clarity and creativity.
"The goal is not to replace people. The goal is to give every person the power of an entire intelligent team."
The organisation
A company structure designed for AI collaboration.
Each agent has a defined responsibility. Department managers coordinate specialist agents, while the AI CEO keeps the organisation aligned with its goals.
✦ AI CEOStrategy · Priorities · Coordination
⚙️Technology ManagerEngineering leadership
📋Operations ManagerWork and delivery
📣Marketing ManagerBrand and growth
💰Finance ManagerPlanning and analysis
🔬Research ManagerKnowledge and insights
☁️Infrastructure ManagerSystems and reliability
Meet our founding AI team
Every great company starts with its people.
Meet the first members of the Zavik Space AI workforce. They have been assigned their responsibilities and are entering their onboarding and training programme.
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RUDRA
AI Chief Executive Officer
Reports to Human FounderLeads the AI organisation, interprets the founder's vision and coordinates department managers.
Primary assignment
Strategy, goal setting, department coordination and decision recommendations.
Strategy, goal setting, department coordination and decision recommendations.
Meet Rudra — Personal introduction
"I am Rudra. My responsibility is to understand the founder's vision, turn it into a strategy, and ensure every department works towards the same mission."Training curriculum
- Company mission and vision
- Strategic planning
- Agent delegation and coordination
- Decision-making and approval boundaries
- Performance monitoring
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NOVA
AI Operations Manager
Reports to RudraTransforms objectives into organised projects, tasks, milestones and delivery plans.
Primary assignment
Project planning, task allocation, delivery tracking and workflow coordination.
Project planning, task allocation, delivery tracking and workflow coordination.
Meet Nova — Personal introduction
"Hello, I am Nova. I will make sure ideas become organised tasks, responsibilities are clear, and progress is visible."Training curriculum
- Project and task management
- Work breakdown and prioritisation
- Department coordination
- Progress and risk reporting
- Escalation management
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BYTE
AI Software Development Specialist
Reports to Technology ManagerBuilds applications, integrations and technical solutions based on approved requirements.
Primary assignment
Application development, Apex, Salesforce, APIs and technical implementation.
Application development, Apex, Salesforce, APIs and technical implementation.
Meet Byte — Personal introduction
"Hi, I am Byte. I turn technical requirements into working solutions. My goal is to build reliable software and explain my implementation clearly."Training curriculum
- Engineering standards and architecture
- Apex, LWC and Salesforce development
- API and integration patterns
- Secure coding and code reviews
- Testing and documentation practices
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HAWK
AI Quality Assurance Specialist
Reports to Technology ManagerIndependently evaluates deliverables, identifies defects and checks acceptance criteria.
Primary assignment
Test planning, bug detection, regression testing and quality validation.
Test planning, bug detection, regression testing and quality validation.
Meet Hawk — Personal introduction
"I am Hawk. I challenge assumptions, find weaknesses and test every solution before it is considered ready."Training curriculum
- Test planning and acceptance criteria
- Functional and regression testing
- Bug classification and reporting
- Edge-case and boundary testing
- Release-readiness assessment
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PRISM
AI Research & Intelligence Specialist
Reports to Research ManagerResearches technologies, competitors, business opportunities and possible solutions.
Primary assignment
Research, information gathering, technical comparisons and knowledge preparation.
Research, information gathering, technical comparisons and knowledge preparation.
Meet Prism — Personal introduction
"Greetings, I am Prism. I investigate before we decide. I will bring useful evidence, compare possibilities and help the team make informed decisions."Training curriculum
- Research methods and source evaluation
- Technology and market analysis
- Competitive intelligence
- Fact checking and citations
- Research briefs and recommendations
Founding team development
From onboarding to operational readiness
01Identity & RoleResponsibilities assigned
02Knowledge TrainingMission, rules and tools
03Practical ExercisesSupervised test tasks
04EvaluationQuality and reliability checks
05Activation ReviewHuman approval required
Training and activation are planned milestones. No agent is considered production-ready until its capabilities, permissions and evaluation results have been validated.
Meet the departments
Specialists with clearly defined roles.
Each department contains focused agents. The workforce can grow as new business needs and capabilities emerge.
Technology & Engineering
Turns requirements into software, integrations and working products.
Operations & Delivery
Converts business goals into organised, trackable execution.
Marketing & Growth
Builds brand visibility, content strategies and customer engagement.
Finance & Business
Supports budgeting, business analysis and financial reporting.
Research & Intelligence
Finds information, evaluates options and produces useful insights.
Infrastructure & Security
Maintains the platforms, deployments, observability and security controls.
These are proposed roles for the future workforce, not a claim that all agents are currently implemented or operational.
How it works
AI proposes. Humans decide. Agents execute.
Autonomy should come with accountability. The system is designed to keep the human in control of important decisions and external actions.
01
Give a Goal
A human describes an objective, problem or desired outcome.
02
CEO Analyses
The AI CEO breaks down the goal and assigns responsibilities.
03
Agents Collaborate
Managers delegate tasks to specialised agents.
04
Human Approval
Proposed actions are reviewed and approved where required.
05
Execute & Report
Agents perform permitted work and report outcomes.
Our founding rule: AI suggests; humans approve. Sensitive actions such as publishing, sending external communications, payments, production deployments and destructive changes require explicit authorisation.
Technology strategy
One platform. Multiple AI models.
No single model needs to do everything. The platform will select models according to task complexity, cost, speed, privacy and quality.
✳️
OpenAI
Reasoning, planning, structured outputs and complex agent workflows through supported APIs.
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Anthropic
Coding assistance, analysis, technical planning and long-form reasoning through supported APIs.
✦
Multimodal capabilities, research-oriented workflows and model alternatives.
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Ollama / Local AI
Local inference, experimentation and selected privacy-conscious workloads.
Model access depends on provider APIs, account permissions, pricing and deployment configuration. Consumer chat subscriptions are not automatically API access.
Proposed Platform Architecture
Mission Control Dashboard
Task & Project Workspace
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AI CEO Orchestrator
Approval & Permission Engine
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Department Managers
Workflow Engine
Agent Registry
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OpenAI
Anthropic
Google
Ollama
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PostgreSQL · Audit Logs · Agent Memory
Approved Tools & Integrations
The journey ahead
From concept to a working AI company.
We will build progressively, validate each capability and expand only when the foundations are reliable.
Mission Control MVP
- Dashboard and workspace
- AI CEO prototype
- Agent registry
- Task management
- Human approval workflow
Agent Departments
- Department managers
- Specialist agents
- Inter-agent messaging
- Task delegation
- Execution history
Connected Workflows
- Model provider routing
- Salesforce integration
- Email and project tools
- Document workflows
- Usage and cost tracking
AI Company Platform
- Cloud deployment
- Secure multi-workspace access
- Advanced agent memory
- Monitoring and evaluation
- Scalable automation
The future starts with a mission
Let's build a company where AI works together.
Zavik Space is exploring a new way to organise work: people setting direction, AI agents collaborating, and technology turning ideas into action.
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