AI Agent-Based Defense SW Automation

AI SOLUTION

AI Agent-Based
Defense SW Automation

Multiple AI Agents automatically draft and manage 13 types of DAPA technical documents.
When requirements change, related documents are updated automatically to enhance quality and consistency.

Multi-AI AgentHybrid GraphRAGARES-LM™On-PremiseMCP

PROBLEM

Current Limitations

Manual Drafting of 13 Document Types — Technical experts manually write 13 types of DAPA-standard technical documents
Cascade Update Cost — A single change in requirements forces manual updates across all 13 document types
Consistency Risks — Reference mismatches, omissions, and version conflicts between documents
Reliance on Domain Knowledge — Risk of critical organizational knowledge loss when skilled personnel retire
Security Constraints — Inability to use cloud-based AI due to air-gapped network security mandates

SOLUTION

Solutions by AI Agent

Automated Document Generation — 4 specialized agents automatically draft 13 types of technical documents
Cascading Updates — A single change in requirements automatically identifies and updates all related documents
Guaranteed Consistency — Cross-verification between agents eliminates reference mismatches and errors
Knowledge Preservation — Ontology-based GraphRAG permanently structures and safeguards domain knowledge
On-Premise Deployment — ARES-LM™ local inference operating securely inside air-gapped networks

AGENT ARCHITECTURE

Multi-AI Agent Orchestration

Four specialized agents divide roles and cross-validate each other to generate documents.

Lead Agent

Task Distribution & Quality Supervision

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Designer Agent

Document Structure Design
& Requirement Tracking

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Implementer Agent

Content Drafting
& Standard Compliance

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Verifier Agent

Cross-Verification
& Standards Check

Hybrid GraphRAGDense + BM25 + Knowledge Graph

ARES-LM™Defense-Specialized LM

MCPConfiguration Management & PLM Linkage

KEY FEATURES

Key Features

Automated Generation of 13 Document Types

AI Agents automatically draft DAPA-standard technical documents, ensuring cross-document traceability based on Requirements Traceability Matrix (RTM).

Hybrid GraphRAG

Three-way retrieval combining Dense Vector, BM25, and Knowledge Graph to accurately search multi-tiered defense standards.

ARES-LM™ On-Premise

Inference of our defense domain-specialized language model on private GPU servers, allowing independent operation inside air-gapped networks.

MCP System Integration

Connects Configuration Management, PLM, and document repositories to AI Agents in real time via Model Context Protocol (MCP) to reflect up-to-date data.

Human-in-the-Loop

AI automated generation followed by expert review gate, combining the efficiency of automation with expert accuracy.

Automated Impact Analysis

Automatically analyzes the impact across 13 document types when requirements change, identifying relevant sections and generating update drafts.

TECH SPECS

Technical Specifications

Agent ConfigurationLead / Designer / Implementer / Verifier

Search SystemHybrid GraphRAG (Dense + BM25 + Knowledge Graph)

Language ModelARES-LM™ (Defense Domain-Specialized)

System IntegrationMCP (Configuration Management · PLM · Doc Repository)

Target Documents13 Types of DAPA Technical Documents

Deployment EnvironmentOn-Premise / Defense Intranet (Air-Gapped)

Learn More About AI Agent-Based Defense Automation

Explore ARES's multi-AI agent automated technical documentation system.

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