AI & Automation Systems

Enterprise AI Agents & Private LLM Workflows

We architect and deploy secure, isolated AI agent networks connected directly to your private databases and APIs. Ensure zero data leakage to public models while automating up to 80% of repetitive operational tasks.

Request Architecture Scope
Milestone-Based Engineering

Scope & Deliverables

What your organization receives upon project execution

1
Private vector database & retrieval-augmented generation (RAG) pipeline
2
Fine-tuned LLM agents with role-based database read/write permissions
3
Human-in-the-loop review interface and audit logging
4
Local on-premise or private cloud deployment with zero public training

Engineering Lifecycle

Milestone-driven execution with full transparent progress

Phase 01

Workflow Analysis

Analyze repetitive human tasks, document formats, and legacy API endpoints.

Phase 02

Architecture Blueprint

Design private RAG pipelines, prompt boundaries, and fail-safe human verification.

Phase 03

Agent Development

Implement function calling, vector indexing, and testing against real production edge cases.

Phase 04

Production Deployment

Deploy within your private VPC with strict latency, accuracy, and security monitoring.

Technical & Commercial FAQs

Will our business data be shared with OpenAI or third parties?

No. We deploy self-hosted open-weights models (such as Llama 3, DeepSeek, Mistral) or enterprise-isolated private endpoints where your data is never retained for training.

Can the AI agent update data in our existing ERP?

Yes. Agents are equipped with structured tool-calling schemas that execute verified transactions through your ERP’s REST or GraphQL APIs.

Ready to architect your solution?

Submit your preliminary requirements. Our senior systems architects will prepare a comprehensive technical scope and milestone estimate within 24 hours.