SOVEREIGN AI™ IN ACTION* — TAKING CONTROL OF AI

Custodians · Managers · Actuarial Systems · Policy Rules

• 5 custodians, 12 managers, and internal ALM data feed into The Institutional AI Stack™.
   
• Manual reconciliations and delays are replaced with governed data ingestion.
   

The Architecture of Control

• Integrates all five AI ecosystems — Power · Computing · Data Centers · Models · Apps (Agentic).
   
• Hosts MCP (Model Context Protocol) and RAG (Retrieval-Augmented Governance) frameworks.
   
• Provides the infrastructure for the ALM Agent, Reconciliation Agent, and Narrative Agent to operate autonomously under fiduciary logic.
   

Purpose: Transform fragmented operations into a unified, governed intelligence workflow.

3. OLTAIX™ CONTROL TOWER

The Sovereign Intelligence Plane

• Orchestrates data flows, assigns goals through the Meta-Planner, and enforces governance boundaries.
   
• Delegates sub-goals to each Agent within the Stack via MCP.
   
• Logs every calculation, reconciliation, and narrative output as verifiable evidence for audit and board oversight.
   

Purpose: Ensure transparency, traceability, and control across all data and model operations.

4. SOVEREIGN AI™ OUTCOMES

The Governed Environment of Foresight

• Funded status updated in near real-time.
   
• Reconciliation effort cut 70–80% (10–15 FTE savings).
   
• Surplus volatility reduced 30–50 bps through faster rebalancing.
   
• Board-ready reports delivered in <1 week vs. 4–6 weeks.
   

Purpose: Convert automation into accountability — every signal explainable, every outcome auditable