Your company already has AI tools.Now it needs an AI working system.
MetaCore OS deployment connects organizational knowledge, people, AI Personas / expert roles, persistent workspaces, tools, authority and continuity into one controlled environment. We start from real processes and a baseline, then deploy, train operators, integrate and measure DELTA.
Not a bundle of AI experts. A working AI system deployment.
The commercial product is the deployment process: people, persistent context, work infrastructure, AI roles, governance and a measured first operating cycle.
Trained AI operators
Company staff learn to work with MetaCore in real processes.
Organizational knowledge layer
Documents, procedures, products and decision history become structured AI-usable context.
MetaCloud + execution workspace
Persistent workspace, files and handoffs. The execution layer is selected separately: Business Codex 50 or, for a larger enterprise scope, Enterprise Quantum 150GB · on request.
Configured AI Personas & Experts
Company, Security, Legal, Leadership, Code / Domain and Master roles by package.
API / MCP / workflows
Agreed systems are connected according to audit, permissions and scope.
Scoped Authority & Governance
AI acts only within delegated scope; significant actions follow policy-defined approval gates and authorized roles.
Baseline + DELTA
KPIs are agreed before the pilot and compared after the real workflow.
Work after deployment
Company knowledge, instructions and operator capability stay with the organization.
Choose the operating level first. Design the deployment around it second.
A workspace product and an individual deployment service are not the same thing. A company can start with a simpler layer and expand infrastructure when the real operating scope requires it.
Choose the right deployment scope — not simply a larger disk.
These cards describe human/operator deployment programs. Workspace products are selected separately by actual scope; START / TEAM are not aliases for Business Codex or Quantum.
Business Deployment START
A controlled first deployment for a smaller company or pilot business unit.
- MetaCloud + Business Codex 50
- Company AI Persona / Expert role
- 1–2 selected domain modules
- Team Work / Reflection
- Master AI Lite
- 1 operator · 6 h practical training
- Integration and 6-month support
Individual Enterprise · Corporate & Team
A broader organizational transformation with shared context, a coordinated AI expert team and internal operators.
- 3 × MetaCloud; execution workspace by scope
- Enterprise Quantum 150GB · available on request
- Company AI Persona / Expert Team
- Business / Cybersecurity / Legal / Leadership
- Code Master + Master AI
- Multi-session Expert Layer
- Team Work + Team Reflection
- 3 people · 10 h practical training
- 6-month integration and optimization
Individual Enterprise · Custom Scope
For manufacturing, robotics, engineering and multi-division organizations with deeper technology and governance scope.
- Process and system topology audit
- Industrial / robotics / engineering modules
- Role-based access and governance
- API / MCP and existing-stack integration
- DELTA pilot before rollout
- Individual training / support scope
We deploy in stages. Understand the system before automating it.
MetaCore begins with operational inventory and ends with a measured workflow and continuity plan.
Start with one small, real, measurable pilot.
We capture the baseline, agree what improvement means and compare the same workflow after deployment. Only then do we expand.
AI can work faster. Control should become clearer, not weaker.
The MetaCore layer is not designed to remove human responsibility. It makes clearer who has context, who may act, who approves and what remains auditable.
Who can see and do what
Role, scope, token and tool boundaries separate access to context from authority to act.
Approve · deny · narrow
Material actions use explicit approval boundaries; an authorized role may approve, reject or narrow the scope.
Source → action → result
The operating path should leave enough evidence to understand what happened.
Not every session starts from zero
Validated organizational context and workspace state continue across work cycles.
The model can change
Organizational context, governance and working logic do not have to be tied to one AI provider.
Due-diligence surface
Trust, Security and DELTA layers support enterprise evaluation and evidence-first deployment discipline.
The business spine is live. Enterprise infrastructure continues to harden.
AgentOps, EvalOps, Policy Model Gateway, Private Deployment, Connector Packs and Enterprise IAM/DR remain clearly marked as expansion layers until their evidence gates are met.
Start with one real workflow. Build the AI working system around it.
Describe the company and 2–3 processes. We will select Business START or Individual Enterprise · Corporate & Team scope; Enterprise Quantum 150GB is considered only when the real scope requires a larger execution environment.