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OLTAIX™ AGENTIC AI ARCHITECTURE
Example Orchestration (T+1 NAV variance >50bps)
Goal: One Asset Owner (AO) using OLTAIX where each partner type runs its own Agentic AI cluster (AG)
Legend: [TB]=Trust Boundary · AG=Agentic AI · MCP=Model Context Protocol · RAG=Retrieval-Aug. Gen. · DX=Data Exchange · UDL=Unified Data Lakehouse · GRC=Governance/Risk/Compliance
Topology:
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ASSET OWNER (AO) — OLTAIX
[TB] AO Sovereign Intelligence Plane
AO Agent Hub · AO MCP · AO RAG · AO UDL
Policy/GRC · Audit/Lineage
┌──────────────┬──────────────┐
▼ ▼
[TB] Asset Servicers (1…N) [TB] Asset Managers (1…N)
AG+MCP+RAG local corpus AG+MCP+RAG local corpus
DX→AO: positions, breaks DX→AO: holdings, trades
└──────────────┬──────────────┘
▼
[TB] External Data Providers (1…N)
AG+MCP+RAG local corpus
DX→AO: benchmarks, ratings
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Design Principles:
1. Sovereign AO control: meta-planner, unified MCP, AO RAG, UDL
2. Per-type autonomy: Servicers, Managers, Providers each with AG+MCP+RAG
3. Contracted DX via schema contracts, eventing, policy enforcement
4. Trust boundaries & AO DMZ gateways for security
5. Cite-or-fail & full audit lineage
Example Orchestration (T+1 NAV variance >50bps):
1. AO plans → sub-goals to Servicer, Manager, Provider AGs
2. Each runs local RAG, returns cited artifacts
3. AO merges evidence in UDL, proposes resolution
4. Compliance approval → dual-control execution