Why Private Enterprise AI
Public cloud AI is not always an option. Regulated industries, telecom-scale customer data, and internal knowledge require AI that stays inside your perimeter — with governance, audit trails, and integration into existing systems.
AI Service Portfolio
- Private Enterprise AI — Air-gapped / VPC deployment
- AI Agents — Guardrailed automation with human approval
- On-premise LLM Deployment — Ollama, Hermes Agent, Mac Studio stacks
- MCP Server Development — Typed tool integrations for agents
- Knowledge Assistants — RAG over enterprise documents
- Workflow Automation — AI-assisted operational processes
- Document Intelligence — Extract and route unstructured data
- Customer Support AI — Deflection with escalation paths
Security by design: Zero-trust boundaries, role-based access, full audit trails for agent actions, and compliance alignment from architecture through deployment — not bolted on after launch.
Reference Architecture
Business Applications — Web · Mobile · Portals
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API Gateway — Auth · Routing · Observability
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Microservices & Domain Services
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Integration Layer — ESB · iPaaS · MCP Connectors
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Enterprise Systems — ERP · CRM · DWH · AI Agents · Knowledge Base
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Cloud — AWS · Azure · GCP · On-premise
Case Study: Mac Studio Hermes Agent Server
Client: Multi-brand operator (anonymized) · Industry: Local AI Infrastructure
Challenge: Teams needed private AI capabilities without sending data to public clouds — with secure remote access for distributed operators.
Approach: Dedicated Mac Studio AI server running Ollama local LLMs, Hermes Agent orchestration, Obsidian MCP integrations, mesh VPN remote access, and per-team macOS account isolation.
Outcomes:
- Private AI with secure remote access — no public cloud data exposure
- Multi-tenant isolation with separate agent configurations per team
- Production-ready local LLM stack (Gemma, Qwen) on owned hardware
Delivery Approach
Discover → Architect → Build → Harden → Operate. Typical entry points: Architecture Assessment (2–4 weeks) or 90-Day Pilot on one high-value workflow.
Leadership
Jovani Wayne Ogaya, Founder & Chief Solutions Architect — 15+ years across enterprise software, cloud architecture, AI solutions, and systems integration.