OKAXI
CORE SERVICE

AI Agents for business, integrated into real systems

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

AI Agents for business, integrated into real systems

OKAXI builds private AI Agents deployed on-premise or in your private cloud for B2B companies. The agents go beyond Q&A. They read ERP/CRM in real time through an MCP Server, call internal APIs over a Microservices and Apache Kafka architecture, and automate HR, Sales and customer support workflows end-to-end. Every deployment ships with safety guardrails, audit logs, and role-based permissions.

AI platform and stack

  • AI Agent
  • MCP Server
  • GPT / Claude / Gemini
  • RAG & pgvector
  • LangChain
  • On-premise / Private Cloud
  • Microservices
  • Apache Kafka

What blocks enterprises from adopting AI

  • Fear of data leakage

    Sending sensitive data to a public LLM carries real exposure and compliance risk for internal information.

  • Expensive AI infrastructure

    Token APIs and GPUs for large models inflate costs that are hard to forecast and hard to justify to the budget.

  • Shallow, generic answers

    Surface chatbots cannot read real data or reach ERP/CRM, so they return vague, unusable responses.

  • No reach into core systems

    AI sits outside your database and existing processes, unable to execute real business tasks.

AI Agent architecture integrated deep into the enterprise core via an MCP Server

AI Agent system architecture integrated deep into the enterprise core via an MCP Server Private LLM (on-prem) AI Agent · MCP Client MCP Server NDA RBAC Audit Microservices Enterprise Core ERP CRM Database RAG · Vector Database · Apache Kafka An NDA, RBAC and audit log isolation layer before any data reaches the LLM

AI architecture solution

  • Private AI Agents

    Deployed on-premise or in your private cloud, sensitive data never leaves your infrastructure, and agents decide within a defined business scope.

  • Custom MCP Servers

    Connect GPT, Claude and Gemini to your ERP, CRM and internal databases through MCP, with full permission and audit controls.

  • Department automation

    Multi-step workflows for HR, Sales and customer support, where AI picks the next action, calls APIs and escalates to humans when needed.

  • RAG over real data

    Retrieval-Augmented Generation over a high-load Vector Database, orchestrated asynchronously through Apache Kafka to eliminate hallucination and hold consistent accuracy against real data.

Performance metrics

  • Shorter processing time

    Instant 24/7 responses cut the handling time of repetitive requests from hours down to minutes.

  • Routine tasks automated

    AI Agents take simple tickets, reporting and rule-based approvals, freeing your people for high-value work.

  • Controlled token spend

    Smart caching and a hybrid architecture cut tokens called to provider APIs, keeping per request cost predictable.

  • Transparent, measurable ROI

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

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Technical FAQ

  • Will our internal data leak when we deploy AI Agents?

    No. OKAXI deploys private AI Agents on-premise or in your private cloud, and sensitive data is never sent to public LLMs. When a third party model is required, data is anonymized and filtered by policy, with guardrails controlling inputs and outputs. Every access runs through role-based permissions and full audit logging, meeting enterprise compliance requirements.

  • How do AI Agents connect deeply into our core systems and databases?

    Through a custom MCP Server placed between the AI and your systems. Agents read and write ERP and CRM in real time and call internal APIs over a Microservices architecture with an Apache Kafka queue, while RAG over your real documents keeps answers accurate to your business context rather than generic.

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

    We optimize Prompt Engineering, design an intelligent caching system, and apply hybrid AI Agent architectures that minimize the tokens called to provider APIs such as OpenAI, ensuring economic efficiency per request and a predictable cost.

Ready to put AI to work in your business?

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