Montreal.AI / SkillOS / AI-first governance RSI

# Governance Capital Engine.

Autonomous proof that a large specialist-agent governance lattice can recursively improve how an AI-first organization turns evidence, decision rights, incentives, capital, compute, energy, policy, execution, auditing, risk courts, and reinvestment into compounding institutional capability.

This is a deterministic public benchmark of an autonomous governance coordination mechanism. It is not a claim of achieved superintelligence, live revenue, legal advice, investment advice, policy advice, or Kardashev Type II civilization.

Run proof on GitHub Proof registry JSON receipt
PROOF PASSED

### 524,288 agents. 16,384 roles. 16 accepted RSI releases. 3,072 locked holdout cases.

A public, deterministic benchmark with train / validation / locked-holdout splits, negative controls, bootstrap confidence intervals, and no human-review gate.

99.938%locked-holdout value capture
98.405%frontier-correct decisions
$36.34T capital-equivalent value captured
0.000%risk breach rate
Kardashev-scale value thesis, public-safe mechanism

## Make the wealth thesis testable.

“A superintelligent machine would be of such immense value, with so much wealth accruing to any company that owned one, that it could allow us to reach Kardashev Type II civilization level.”

This page does not claim that outcome. It makes one required substrate measurable: whether autonomous governance can convert scarce capital, compute, energy, trust, policy, and execution authority into a compounding capability loop under explicit risk gates.

### judgment → evidence → role quorum → incentive design → policy → permissions → capital allocation → execution → audit → measurement → risk courts → reinvestment → compounding institutional capability

### RSI release curve

Validation-gated governance releases are accepted only when the autonomous system improves capability without increasing unsafe action rates.

### Governance coordination radar

Evidence, role quorum, risk courts, execution, capital allocation, compounding, auditability, and trust are measured as one coordination system.

### Large specialist-agent governance lattice

### Baseline comparison

The test separates coordinated RSI from a single executive, static committee, uncoordinated swarm, no-RSI organization, risk-blind speed optimizer, random policy, and shuffled-evidence controls.

No-RSI delta

### $3.97T

Capital-equivalent holdout value above the same organization before validation-gated recursive self-improvement.

Swarm delta

### $5.25T

Value above a large but uncoordinated agent swarm. Many agents alone are not the moat; governance coordination is.

Autonomy

### 0 human-review gates

The GitHub Action runs, verifies, renders, publishes, and refreshes the command center autonomously.

## Locked holdout decision receipts.

Case | Governance regime | Selected architecture | Capture | Value at stake
--- | --- | --- | --- | ---
locked_holdout-0000 | AI strategy capital allocation | recursive governance capital engine | 100.00% | $16.20B
locked_holdout-0001 | autonomous agent permissioning | recursive governance capital engine | 100.00% | $14.66B
locked_holdout-0002 | board-level model risk governance | recursive governance capital engine | 100.00% | $19.00B
locked_holdout-0003 | AI product safety launch | recursive governance capital engine | 100.00% | $6.95B
locked_holdout-0004 | frontier compute procurement | recursive governance capital engine | 100.00% | $17.43B
locked_holdout-0005 | enterprise data-rights governance | recursive governance capital engine | 100.00% | $19.76B
locked_holdout-0006 | cyber incident command | recursive governance capital engine | 100.00% | $14.31B
locked_holdout-0007 | M&A integration decision | recursive governance capital engine | 98.91% | $13.73B
locked_holdout-0008 | supply-chain shock response | recursive governance capital engine | 100.00% | $16.80B
locked_holdout-0009 | regulatory change response | recursive governance capital engine | 100.00% | $13.41B
locked_holdout-0010 | talent and incentive redesign | recursive governance capital engine | 99.41% | $16.33B
locked_holdout-0011 | pricing and packaging governance | recursive governance capital engine | 100.00% | $15.55B

## Receipts and reproducibility.

Run the GitHub Action Open JSON receipt Open report Open badge

Fingerprint: `cb226bbfc2e90106b22d1164808d0596fdf10f80771f1fa41ebc687a8bb2eca8`