CORE SERVICE

Enterprise AI Agent Integration

Embed AI Agents directly into operations as deep integrations with your ERP, CRM, and approval flows, not as surface-level chatbots.

Enterprise AI Agent Integration

OKAXI integrates AI Agents powered by GPT-4, Claude, and Gemini into enterprise systems via the Model Context Protocol (MCP). These agents go beyond Q&A. They read your ERP/CRM in real time, execute approval workflows, call internal APIs, and automate business processes end-to-end. Every deployment ships with safety guardrails, audit logs, and role-based permissions.

Core Capabilities

  • Production AI Agents

    Multi-agent orchestration with LangChain and LlamaIndex, where agents decide autonomously within a defined business scope.

  • Custom MCP Servers

    MCP Server implementation connecting GPT/Claude/Gemini to your ERP, CRM and internal databases with full permission and audit controls.

  • Workflow Automation

    Multi-step conditional workflows where AI picks the next action, calls APIs and escalates to humans when needed.

  • RAG over internal data

    Retrieval-Augmented Generation backed by vector databases (pgvector, Pinecone), which grounds answers in your real documentation.

Business Benefits

  • 70% routine task automation

    AI Agents handle simple tickets, automatic reporting, and rule-based approvals, which frees your people to focus on high-value work.

  • Deep integration, no silos

    Agents read and write directly against ERP and CRM in real time via MCP, with no data duplication and no isolated silos.

  • Enterprise-grade safety

    Role-based permissions, full audit logging, and on-premise or private cloud deployment, all compliant with GDPR and Vietnam NDIA.

  • Measurable ROI in 3–6 months

    Automated tracking of hours saved, AI accuracy, and token spend, with transparent monthly reporting from day one.

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Technical FAQ

  • How does OKAXI address the operating cost of large AI models?

    We focus on Prompt Engineering optimization, intelligent caching system design, and hybrid AI Agent architectures that minimize the number of tokens called to provider APIs such as OpenAI, ensuring economic efficiency per request.

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