A Structural Briefing for Reinsurance Risk & Capital Leadership
1. The Structural Question
AI-linked exposure is introducing non-stationary boundary conditions into reinsurance capital architectures.
The issue is no longer volatility. It is admissibility under governance regime drift.
Where regulatory interpretation, attribution standards, and cross-jurisdictional enforcement evolve faster than recalibration cycles, capital assumptions may remain technically valid â yet structurally incomplete.
2. Boundary Stability & Capital Models
Reinsurance capital models typically assume legal interpretation continuity, regulatory coherence, and attribution traceability. AI-linked liability expansion challenges these assumptions asymmetrically.
The risk is not immediate loss; it is boundary regime shift.
3. Structural Compression Index (SCI)
Drift Systems has developed a structural compression layer mapping how governance drift alters admissibility geometry within capital models.
Boundary Condition Stability
Governance Drift Vectors
Provenance Liability Concentration
Temporal Compression (Tâ5 / T0 / T+5)
Structural Compression Diagnostic Mandate
A focused institutional engagement delivering a forward admissibility assessment across AI-linked exposure clusters.
Delivery: 3 business days Initial Input: Public disclosures only Integration: No internal data extraction or system integration required.
Report Structure
I. Executive Structural Summary (Risk Committee Format)
II. AI Exposure Boundary Mapping â Global Jurisdictional Grid
III. Governance Drift Scenario Matrix (EU / US / APAC)
IV. Provenance Liability Concentration Diagnostics