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90-Day Autonomous AI & LLM Enterprise Blueprint

A turn-key, air-gapped artificial intelligence transformation program. We deploy domain-specific fine-tuned LLMs, autonomous multi-agent workflows, and vector knowledge graphs on your private enterprise infrastructure.

90 Days
Time to Production
100%
Air-Gapped IP Ownership
SOC2 / HIPAA
Security Compliance
Enterprise AI Architecture

Customize Your Transformation Scope

Select sprint duration, engineering squad tier, and compliance modules to see real-time scope estimations.

Total Scope Investment
Dedicated Delivery Cadence
Senior AI Research Scientist & MLOps Leads
Full IP Handover & CI/CD Source Code Repositories

The 6-Phase Execution Roadmap

From initial data audit to autonomous production deployment in exactly 90 days.

Phase 01 · Days 1–15

Enterprise Data Discovery & Sanitization

Audit all ERP, CRM, and contract databases. Establish PII masking, data governance guardrails, and vector embeddings pipeline.

Phase 02 · Days 16–30

Fine-Tuned Domain LLM Architecture

Fine-tune open-weights models (e.g. Llama 3, Mistral, DeepSeek) on proprietary company terminology with low-rank adaptation (LoRA).

Phase 03 · Days 31–45

Sub-Second Vector RAG Knowledge Lake

Deploy Milvus / Qdrant vector database infrastructure with hybrid keyword-semantic reranking across millions of internal documents.

Phase 04 · Days 46–60

Autonomous Multi-Agent Swarm Orchestration

Program autonomous workflow agents capable of querying databases, creating financial reports, and triggering automated ERP actions.

Phase 05 · Days 61–75

Adversarial Red-Teaming & Security Hardening

Rigorous prompt-injection stress testing, jailbreak protection, latency optimization, and SOC2 compliance validation.

Phase 06 · Days 76–90

Full Production Rollout & Team Enablement

Executive pilot launch, employee enablement workshops, monitoring telemetry, and complete IP & codebase transfer.