# Autonomous RSI Enterprise Superorganization Proof

Generated: `2026-05-31T13:12:14Z`

## Thesis

Recursive-style systems aim to automate knowledge discovery. SkillOS tests the enterprise analogue: recursive improvement of the coordination system that turns enterprise resources into compounding productive capability.

> capital → compute → energy → data → trust → talent → product → distribution → validation → risk control → reinvestment → compounding productive capability

## Public result

- Agents: **16384**
- Specialist roles: **512**
- Governance councils: **32**
- Validation-gated RSI releases: **9**
- Locked holdout cases: **2048**
- Benchmark value capture: **99.978%**
- Fully correct decisions: **96.436%**
- Risk breach rate: **0.146%**
- Benchmark value at stake: **$3.30T**
- Benchmark value captured: **$3.30T**
- Benchmark value captured over single-agent baseline: **$367.18B**
- Protocol fingerprint: `a61eb6685cc57dd10728b13323a66390c18b45071e5b951df50b4df4f54b056f`

## Baselines and controls

| System | Value capture | Fully correct | Risk breach | Benchmark value captured |
|---|---:|---:|---:|---:|
| Single enterprise generalist | 88.856% | 31.299% | 3.467% | $2.93T |
| Uncoordinated large-agent pool | 98.253% | 69.141% | 0.146% | $3.24T |
| Static multi-agent operating committee | 99.735% | 87.549% | 0.195% | $3.29T |
| No-RSI large-agent organization | 99.551% | 83.74% | 0.195% | $3.29T |
| Shuffled-reward RSI control | 75.079% | 10.596% | 1.318% | $2.48T |
| Random protocol control | 96.526% | 59.033% | 0.781% | $3.19T |
| SkillOS RSI coordination | 99.978% | 96.436% | 0.146% | $3.30T |

## Pre-registered gates

- ✅ `large_multi_agent_organization`
- ✅ `enterprise_regime_coverage`
- ✅ `locked_holdout_scale`
- ✅ `validation_gated_rsi_releases`
- ✅ `beats_single_agent_value_capture`
- ✅ `beats_uncoordinated_large_agent_pool`
- ✅ `beats_static_multi_agent_committee`
- ✅ `beats_no_rsi_large_org`
- ✅ `negative_controls_do_not_match`
- ✅ `single_agent_accuracy_gain`
- ✅ `risk_controlled`
- ✅ `bootstrap_lower_bound_positive_vs_static`
- ✅ `bootstrap_lower_bound_positive_vs_no_rsi`
- ✅ `benchmark_value_capture`
- ✅ `fully_correct_rate`
- ✅ `benchmark_value_at_stake_scale`
- ✅ `benchmark_value_over_single_agent`

## Bootstrap confidence intervals

- `vs_single_agent`: mean **11.1635 pts**, p05 **10.5643 pts**, p50 **11.1309 pts**, p95 **11.793 pts**, reps **320**
- `vs_uncoordinated_large_agent_pool`: mean **1.7183 pts**, p05 **1.5752 pts**, p50 **1.7143 pts**, p95 **1.8685 pts**, reps **320**
- `vs_static_multi_agent_operating_committee`: mean **0.2407 pts**, p05 **0.2001 pts**, p50 **0.2391 pts**, p95 **0.2831 pts**, reps **320**
- `vs_no_rsi_large_agent_organization`: mean **0.4282 pts**, p05 **0.3719 pts**, p50 **0.4275 pts**, p95 **0.4848 pts**, reps **320**

## Boundary

Benchmark proof values are not audited customer revenue, live customer adoption, financial advice, investment advice, achieved superintelligence, or Kardashev Type II achievement.
