Sovereign AI for
European Manufacturing
D.E.A.O is a multi-agent orchestration framework engineered for deep ERP integration, GDPR-native data isolation, and EU AI Act compliance — purpose-built for B2B manufacturing, fabrication, and logistics enterprises.
Why Existing AI Solutions Fail Enterprise B2B
Three fundamental bottlenecks prevent mid-to-large B2B companies from adopting operational AI.
Data Sovereignty Crisis
Companies cannot surrender BoM data, financial records, and CRM lead data to third-party SaaS servers outside EU jurisdiction. GDPR Article 25 requires Privacy by Design — existing AI platforms provide no enforceable isolation.
The Integration Wall
Commercial AI cannot perform direct read/write to core ERP systems while respecting business validation hierarchy. Every action must flow through the ERP's own logic — not bypass it.
General Agent Failure
The "One Agent For All" model hallucinates. Manufacturing requires hyper-specialized micro-agents that understand BoM composition, ISO-compliant production routing, and supply chain topology.
Sovereign AI Orchestration, Purpose-Built for Industry
Not a chatbot. Not an assistant. A fully managed multi-agent orchestration engine with deep ERP integration.
Hyper-Specialized Micro-Agents
Distributed agent architecture — each agent operates with strictly isolated system prompt, memory store, and toolset. Zero cross-tenant data access.
Deep Odoo Connectors
Native encrypted XML-RPC. All writes routed through dexan.agent.staging — human approval mandatory before live data modification.
Multi-Tenant Isolation
Schema-per-tenant PostgreSQL. Containerized per client. Zero data cross-contamination — guaranteed at database level.
Human-in-the-Loop
interrupt_before gate — AI structurally cannot modify ERP or dispatch communications without documented human authorization.
Budget Control Framework
Daily budget caps per tenant via LiteLLM. Circuit breaker on HTTP 429. Semantic cache (Redis) reduces API costs by 40-60%.
Enterprise-Grade. Battle-Tested. Open Source.
Every component chosen for production reliability, not novelty.
LangGraph
Orchestration EngineState machine brain. Agent routing, loop detection, HITL checkpoints.
Temporal.io
Durable ExecutionWraps heavy tasks for guaranteed completion. 99.99% task durability.
Neo4j GraphRAG
Knowledge EngineMaps BoM, Routing, Workcenter as traversable knowledge graph.
Traefik
Reverse ProxyDynamic domain routing per tenant. Automatic SSL termination.
n8n
API GatewayWebhook broker. HMAC SHA256 signed. Self-hosted.
PostgreSQL + pgvector
Memory & RetrievalHNSW vector index. Schema-per-tenant isolation.
LiteLLM
LLM RouterLoad balancing + instant failover. Cloud ↔ Local model switch.
Tetragon (eBPF)
Runtime SecurityKernel-level syscall monitoring. < 1μs threat termination.
We Don't Sell Promises. We Commit to Numbers.
System Uptime
Monthly. Excluding scheduled maintenance (≥ 72h notice).
Task Durability
Guaranteed by Temporal.io. Server crash = auto-resume.
Recovery Time (RTO)
Maximum time to restore agent operations after failure.
Recovery Point (RPO)
Agent state checkpoints every 5 minutes to PostgreSQL.
Next-Generation Capabilities
Technologies that move D.E.A.O from competitive to uncatchable.
GraphRAG — Relational Reasoning via Knowledge Graph
Vector databases are blind to relationships. When a client asks "What happens if Supplier A's M10 bolts are delayed to Workcenter B?" — vector search hallucinates. GraphRAG traverses the actual supply chain topology.
MATCH path = (s:Supplier {name: $supplier})
-[:SUPPLIES]->(c:Component)
-[:COMPONENT_OF*1..3]->(p:Product)
-[:FULFILLS]->(so:SalesOrder)
-[:ORDERED_BY]->(cust:Customer)
WHERE c.name CONTAINS $component
RETURN path, so.value, cust.name, so.delivery_date
Temporal.io — The Immortality Machine
LangGraph checkpoints between nodes. But if a node fails mid-execution (page 247 of 500), it restarts from scratch. Temporal heartbeats every operation — server crash means resume from the exact last byte.
@workflow.defn
class AgentNegotiationWorkflow:
@workflow.signal
def approve(self, input: ApprovalInput):
self.approved = True
@workflow.run
async def run(self, context: dict):
draft = await workflow.execute_activity(
draft_supplier_offer, context,
start_to_close_timeout=timedelta(minutes=5)
)
# Can wait DAYS for human approval
await workflow.wait_condition(
lambda: self.approved
)
return await workflow.execute_activity(
send_offer_email, draft
)eBPF / Tetragon — AI Guardrails at the Operating System Level
If an LLM agent is compromised via prompt injection and attempts to open a TCP connection to an unauthorized internal IP — Tetragon terminates the socket at the Linux kernel in less than 1 microsecond.
spec:
kprobes:
- call: "tcp_connect"
selectors:
- matchArgs:
- index: 1
operator: "NotIn"
values:
- "api.openai.com"
- "odoo.client.internal"
matchActions:
- action: Sigkill # Kill immediately
- action: NotifyEnforcerBuilt for European Regulation. Not Retrofitted.
D.E.A.O's architecture is designed from the ground up to satisfy GDPR, EU AI Act, and NIS2 requirements.
GDPR
- Art. 25 — Privacy by Design (Schema-per-tenant isolation)
- Art. 5 — Data Minimization (task-scoped data access)
- Art. 17 — Right to Erasure (single schema-drop + audit log)
- DPA — Standard template provided pre-onboarding
EU AI Act
- Art. 9 — Risk Management (FMEA documentation)
- Art. 13 — Transparency (full ReAct Tree tracing)
- Art. 14 — Human Oversight (mandatory HITL gate)
- Art. 17 — Quality Management (version-controlled prompts)
NIS2 Directive
- Runtime Security — Tetragon eBPF kernel monitoring
- Vulnerability Scanning — Trivy on every deployment
- Pentest — Annual third-party (report under NDA)
- Incident Response — 72-hour breach notification runbook
Failure Modes & Effects Analysis
We plan for failure. So our clients never experience it.
| Scenario | Probability | Impact | Automated Mitigation |
|---|---|---|---|
| OpenAI / Anthropic global downtime | Low | Critical | LiteLLM auto-reroutes to Ollama/Llama-3 within 3 retries (~15s) |
| Odoo XML-RPC timeout | Medium | High | State paused + saved to PostgreSQL. WhatsApp alert. Async retry. |
| LangGraph infinite loop | Low | High | max_errors counter triggers HITL escalation |
| Rogue webhook injection | Low | Critical | HMAC SHA256 X-Signature validation. Invalid = HTTP 401. |
| Unauthorized agent network access | Low | Critical | Tetragon (eBPF) terminates socket at kernel level in < 1μs |
| Tenant data cross-contamination | Very Low | Critical | Schema-per-tenant isolation + scoped database roles |
D.A.P — The Agentic Prototype
A fully functional ReAct agent deployed on n8n in 17 minutes. Autonomous web research, data extraction, and B2B outreach drafting — zero human intervention.
Autonomous Tool Selection
Agent self-decides when to invoke search_web vs read_website based on the task context. No hardcoded routing.
Data Chaining
Search results → URL extraction → Website scraping → Content synthesis. Each tool output feeds the next automatically.
Contextual Output
Draft email cites specific services found from scraped websites. Zero hallucination — all data is grounded in real tool output.
Evolution Path: D.A.P → D.E.A.O
- n8n Chat Trigger
- Single OpenAI model
- Window Buffer Memory
- HTTP Request Tools
- Manual testing
- Localhost Docker
- n8n Webhook + Traefik routing
- LiteLLM Proxy (multi-model)
- PostgreSQL + Neo4j GraphRAG
- LangGraph + Temporal.io
- Arize Phoenix + Tetragon
- EU VPS Frankfurt
Ready to Deploy Sovereign AI in Your Factory?
Schedule a confidential technical briefing with our engineering team. We'll walk through the architecture, discuss your ERP integration requirements, and define the PoC scope together.