# Autonomous RSI Enterprise Capability Foundry Proof

Generated: `2026-05-31T12:05:40Z`

## Thesis

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

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

## Public result

- Agents: **4096**
- Specialist roles: **256**
- Governance councils: **32**
- Validation-gated RSI releases: **9**
- Locked holdout cases: **2048**
- Benchmark value capture: **99.984%**
- Fully correct decisions: **96.729%**
- Risk breach rate: **0.146%**
- Benchmark value at stake: **$3.29T**
- Benchmark value captured: **$3.29T**
- Benchmark value captured over single-agent baseline: **$359.92B**
- Protocol fingerprint: `6d5f233c1530d7b30012f0e2c5dda42a0a47bfe76a94d0e6625953c7e4970597`

## Baselines and controls

| System | Value capture | Fully correct | Risk breach | Benchmark value captured |
|---|---:|---:|---:|---:|
| Single enterprise generalist | 89.045% | 31.152% | 3.271% | $2.93T |
| Uncoordinated large-agent pool | 98.065% | 67.041% | 0.195% | $3.23T |
| Static multi-agent operating committee | 99.749% | 87.061% | 0.146% | $3.28T |
| No-RSI large-agent organization | 99.519% | 82.764% | 0.195% | $3.27T |
| Shuffled-reward RSI control | 71.693% | 12.988% | 6.299% | $2.36T |
| Random protocol control | 96.596% | 58.203% | 0.732% | $3.18T |
| SkillOS RSI coordination | 99.984% | 96.729% | 0.146% | $3.29T |

## 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 **10.9298 pts**, p05 **10.3417 pts**, p50 **10.9159 pts**, p95 **11.5826 pts**, reps **320**
- `vs_uncoordinated_large_agent_pool`: mean **1.9219 pts**, p05 **1.7579 pts**, p50 **1.924 pts**, p95 **2.0842 pts**, reps **320**
- `vs_static_multi_agent_operating_committee`: mean **0.2358 pts**, p05 **0.2 pts**, p50 **0.2353 pts**, p95 **0.2776 pts**, reps **320**
- `vs_no_rsi_large_agent_organization`: mean **0.4665 pts**, p05 **0.4031 pts**, p50 **0.466 pts**, p95 **0.5372 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.
