docs/pilot-readiness.md

12.2 Key Manifests

Repository	File	Purpose
arf-api	deploy/kubernetes/arf-api/deployment.yaml	API Deployment (3 replicas)
arf-api	deploy/kubernetes/arf-api/service.yaml	API ClusterIP Service
arf-api	deploy/kubernetes/arf-api/hpa.yaml	API HPA (3–10)
arf-api	deploy/kubernetes/arf-api/networkpolicy.yaml	Restrict ingress to gateway
arf-api	deploy/kubernetes/arf-api/configmap.yaml	Non‑sensitive config
arf-api	deploy/kubernetes/arf-api/secret.yaml	Sensitive values
arf-gateway	deploy/kubernetes/arf-gateway/deployment.yaml	Gateway Deployment (3 replicas)
arf-gateway	deploy/kubernetes/arf-gateway/service.yaml	LoadBalancer Service
arf-gateway	deploy/kubernetes/arf-gateway/hpa.yaml	Gateway HPA (3–10)

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13. Test & Verification Evidence

13.1 Pressure Test Suite

44 tests, 100% pass rate. Covers:

• Bayesian conjugate updates
• Policy condition evaluation
• Governance loop integration
• HealingIntent serialization
• Edge cases (zero data, large data, concurrency)

13.2 Formal Verification Suite

7 property‑based test classes with 60,000+ examples.

Test	Examples	Result
Determinism (10,000 runs)	10,000	✅ 1 unique hash
Criticality monotonicity	5,000	✅ No violations
Stability gate cross‑validation	10,000	✅ All within 1e‑12
Skill gate monotonicity	5,000	✅ No violations
Context hash determinism	5,000	✅ Order‑independent
CUSUM optimality	1,000	✅ Detection ≤150 steps
Conjugate update correctness	—	✅ α, β match theory

13.3 Performance Benchmarks

Operation	p50	p99	Target
Full governance loop	< 50 ms	< 100 ms	✅ Met
Risk calculation	< 1 ms	< 5 ms	✅ Met
HealingIntent serialization	< 5 ms	< 10 ms	✅ Met

13.4 Integration Tests

8 end‑to‑end tests covering the full HTTP → API → governance → audit pipeline, including skill context, criticality, and outcome recording.

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14. Roadmap & Future

14.1 v4.3.3 (Q4 2026)

• Multi‑agent Lyapunov coupling
• Emergent behavior detection
• Gateway Prometheus metrics
• Brute‑force protection on API keys
• Dependency vulnerability scanning in CI

14.2 v4.4 (Q1 2027)

• Gaussian Process sandbox dynamics
• Active GP‑based stability control
• Multi‑objective policy optimisation
• Helm charts for all components

14.3 v5.0 (Q2 2027)

• Federated learning of risk models across tenants
• Integration with major cloud policy frameworks (AWS SCP, Azure Policy)
• Certified NIST AI RMF profile

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15. Next Steps

1. Identify a design partner in a regulated sector (finance, healthcare, telecom, energy).
2. Execute a mutual NDA and share this package.
3. Schedule a 2‑hour technical deep‑dive with the partner’s SRE and security teams.
4. Deploy the sandbox in the partner’s Kubernetes environment (Week 1).
5. Begin the 8‑week pilot program as described in Section 10.

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16. Appendices

A. Glossary

Term	Definition
CVaR	Conditional Value‑at‑Risk – expected loss in the worst 5% of outcomes
CUSUM	Cumulative Sum – sequential change‑detection algorithm
E‑value	Minimum confounding strength needed to nullify a causal effect
HMC	Hamiltonian Monte Carlo – Bayesian sampling method
IPW	Inverse Probability Weighting – causal effect estimator
TLA⁺	Temporal Logic of Actions – formal specification language

B. Code Repositories

Repository	Purpose	Access
agentic_reliability_framework	Core Bayesian engine, governance loop, policies	Private
arf-api	FastAPI control plane, database models, routes	Private
enterprise	Rust execution ladder, safety gates	Private
arf-gateway	Go reverse proxy with auth, rate limiting, circuit breaker	Private

C. Contact

Juan Petter
Founder & Steward, Agentic Reliability Framework
Email: juan@arf-ai.com
Website: https://arf-ai.com

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This document is proprietary and access‑controlled. Distribution is limited to qualified pilots and enterprise customers under written agreement. No part of this document may be reproduced, distributed, or used for AI training without express written permission.