MONTREAL.AI / SKILLOS

# Autonomous RSI Unit Economics Profit Engine

Recursive self-improvement on scalable AI workflow marketplace profit capture.

Current status
PASSED_AUTONOMOUS_RSI_UNIT_ECONOMICS_PROFIT_ENGINE_MARKET_PROOF

No human review. No customers. No private data. No API keys. No previous-domain reuse. Deterministic holdout benchmark.

+88.7 pts fully-correct gain
84.7%value capture
98.5%decision-cycle reduction
$10,220,080,559.98 synthetic annual value captured

## Recursive self-improvement curve

## Before / after on holdout unit-economics cases

Metric | Baseline | SkillOS RSI
--- | --- | ---
Fully correct decisions | 11.3% | 100.0%
Opportunity accuracy | 11.3% | 100.0%
Intervention accuracy | 11.3% | 100.0%
Priority accuracy | 11.3% | 100.0%
Value capture rate | 9.3% | 84.7%
Material miss rate | 55.5% | 0.0%
False intervention rate | 0.0% | 0.0%
Avg decision cycle | 25.98 days | 0.38 days

## Final learned unit-economics skills

- skill_usage_expansion — Detect high retained usage and convert it into expansion without harming retention.
- skill_marketplace_supply_gap — Detect supply-constrained marketplace demand and create new skill supply.
- skill_compliance_pack — Detect blocked regulated pipeline and package compliance evidence as a repeatable sales asset.
- skill_workflow_bundle — Detect adjacent workflow demand and bundle it into a higher-retention package.
- skill_onboarding_retention — Detect churn caused by activation failure and repair onboarding before adding demand.
- skill_sla_quality_gate — Detect SLA penalty risk and add QA gates before scaling high-risk volume.
- skill_discount_floor — Detect discount leakage and protect price integrity through approval controls.
- skill_renewal_save_motion — Detect renewal risk and run a save motion before the renewal window closes.
- skill_private_registry_moat — Detect opportunity for private skill registry lock-in and create customer-specific compounding releases.
- skill_support_monetization — Detect support-heavy accounts and convert repeated support load into self-service plus premium support pricing.
- skill_standardize_custom_work — Detect bespoke work that destroys margin and convert it into repeatable skill packages.
- skill_partner_channel_scale — Detect partner-led demand and scale through a margin-protected co-sell motion.
- skill_cut_low_conversion_segment — Detect bad acquisition segments and reallocate spend toward higher-fit ICP.
- skill_capacity_reservation — Detect runtime capacity bottleneck and preserve margin through capacity reservation and off-peak scheduling.
- skill_payment_risk_guardrail — Detect payment-risk patterns and protect margin through verification and prepay guardrails.
- skill_enterprise_value_pricing — Detect enterprise willingness-to-pay gap and repackage the tier around measured workflow value.
- skill_compute_margin_optimization — Detect compute-heavy margin leakage and improve unit economics through routing, caching, and skill reuse.
- skill_clean_profitable_growth — Recognize clean profitable growth and avoid unnecessary intervention.

## Proof gates

- ✅ business domain highly scalable profit workflow
- ✅ not email workflow
- ✅ not invoice workflow
- ✅ not cloudops workflow
- ✅ not cyberdefense workflow
- ✅ not silicon workflow
- ✅ not metamaterials workflow
- ✅ not generic corporate os workflow
- ✅ no human review required
- ✅ no customers contacted
- ✅ no private data used
- ✅ no api keys required
- ✅ deterministic reproducible benchmark
- ✅ recursive self improvement releases at least 9
- ✅ rsi validation improves monotonically
- ✅ train cases at least 400
- ✅ validation cases at least 200
- ✅ holdout cases at least 800
- ✅ final rules at least 18
- ✅ fully correct gain at least 80 points
- ✅ opportunity accuracy at least 99 percent
- ✅ intervention accuracy at least 99 percent
- ✅ priority accuracy at least 99 percent
- ✅ value capture rate at least 70 percent
- ✅ material miss rate zero
- ✅ false intervention rate zero
- ✅ decision cycle reduction at least 90 percent
- ✅ decision cost reduction at least 90 percent
- ✅ synthetic value captured positive

Boundary: This is a fully autonomous reference proof using deterministic synthetic/redacted-style business data and benchmark assumptions. It is not audited customer ROI, financial advice, investment advice, or a guarantee of future outcomes.

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