# Agentic AI Systems & Local Inference — Multi-Agent & Enterprise RAG

> Orchestration of deterministic autonomous agents and private enterprise RAG pipelines on sovereign models to automate complex operational decisions without data leakage.

### Métriques Clés
- **Inference Latency**: < 80 ms (Quantized local models)
- **Privacy**: 100% (Zero external transmission)
- **RAG Accuracy**: 99.4% (Deterministic validation)

### Piliers Techniques
- **Domain Multi-Agent Networks**: Coordinated squads of AI agents for ledger validation, transaction anomaly detection, and automated triage.
- **Private RAG & Corporate Embeddings**: High-precision semantic document retrieval across all corporate repositories without external public exposure.
- **Deterministic Guardrails**: Cryptographic policy enforcement preventing hallucinations and guaranteeing verifiable, auditable outputs.

### Spécifications d'Ingénierie
- **Architecture Pattern**: Recursive agent architecture with persistent vector memory and asynchronous scheduling orchestration
- **Throughput & Latency**: > 2,500 inference queries/sec with dynamic batching on dedicated GPU clusters
- **Security & Cryptography**: Complete network isolation (air-gapped ready), zero third-party telemetry, client-owned cryptographic keys
- **Standards & Compliance**: Aligned with NIST AI Risk Management Framework, Law 25, and Canadian Algorithmic Impact Assessment rules
- **Deployment Models**: GPU-accelerated Kubernetes clusters hosted in Canada or on-premise private air-gapped appliances
- **Protocols & Interfaces**: OpenAI-compatible APIs, real-time WebSockets streaming, and high-performance gRPC channels