SOURCE Parametric_Insurability_for_AI_Agents.png
MD5 7e5b2779 · made 2026-10-04 · NotebookLM infographic · OCR tesseract 5.5.1

Parametric Insurability: Grounding Al Agents via Invariant Architecture

The Anatomy of Uninsurable Al Risk Replacing Post-Hoc Software Invariant Governance &
Filters with Hardware-Grounded Parametric Insurability

GRESarHIea, ECIeFEY cists Invariant Architecture Pre-declared scope constraints
truncate catastrophic severity tails.

Without structural constraints, agents fae : ;
Hard invariant boundaries cap maximum

thrash into unbounded state spaces | f Dn
< _ during operational failures. single-session spend at 15.4 million tokens.

Q

MAX CAP:
19.4 MILLION
TOKENS

Tail risk is eliminated while
preserving agent utility.
Median session spend remains
virtually identical, preserving
agent productivity while
capping catastrophic loss.

A Extreme severity

outliers, reaching
up to 310.4 million
tokens per session.

drive 39% of
total exposure

5% ~

: ene Bare-metal sensory
Self-generated software logs fail reflexes generate immutable
legal standards for claims. settlement receipts.
Underwriters require independent, third- On-chip sensory reflexes Creates legally admissible
party attestation because software cannot prone invalid branches before attestation rows required for parametric WS
legally certify its own innocence. state commits occur. insurance underwriting. :

AN Gemini Notebook