Your company already has AI tools.Now it needs an AI working system.
MetaCore OS deployment connects organizational knowledge, people, configured AI 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 + technical workspace
Persistent state with Codex 50GB or Quantum 150GB according to scope.
Configured AI 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.
Start at a scale the team can actually absorb.
All paths use the same MetaCore OS principle. They differ in operator count, workspace depth, AI-role topology and integration scope.
MetaCore OS START
- MetaCloud + Codex 50GB
- Company AI Expert
- 1–2 domain modules
- Team Work / Reflection
- Master AI Lite
- 6 h practical training
- Integration and 6-month support
MetaCore OS TEAM
- 3 × MetaCloud + Quantum 150GB
- Company AI Expert Team
- Business / Cybersecurity / Legal / Leadership
- Code Master + Master AI
- Multi-session Expert Layer
- 10 h practical training
- 6-month integration and optimization
Custom MetaCore OS
- Process and system topology audit
- Industrial / robotics / engineering modules
- Role-based access and governance
- API / MCP and existing-stack integration
- DELTA pilot before rollout
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.
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 map the appropriate START, TEAM or Enterprise scope and measurement baseline.