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Refactor Dockerfile to simplify file copying process and update README.md to reflect the transition of the AIRE Standards status from Draft to Live. Enhanced clarity in the Operational Excellence section and updated repository structure details. Added new sponsor image for branding consistency. (#6)
> **An open implementation guide for building reliable AI Agents at scale. Defining the practices for AI Reliability Engineering (AIRE).**
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### 5. Operational Excellence & Team Culture
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*Establishing SLAs, error budgets, team structures, and operational practices that enable reliable AI systems to scale.*
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*Establishing performance targets, quality budgets, team structures, and operational practices that enable reliable AI systems to scale.*
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Operational Excellence bridges the gap between technical architecture and organizational culture. While the first four pillars define *what* to build, this pillar defines *how* teams operate, measure, and continuously improve AI systems at scale:
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-**AI-Specific SLAs & Error Budgets** - Service Level Objectives for availability, latency, quality, safety, and efficiency; error budget policies for balancing reliability with innovation velocity
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-**AI-Specific Performance Targets & Quality Budgets** - Performance targets for cognitive accuracy, safety integrity, autonomy level, response performance, and cost efficiency; quality budget policies for balancing reliability with innovation velocity
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-**Team Structure & Shared Responsibility** - Product teams own agents end-to-end; embedded AI Reliability Engineers (AIREs) with 20% time allocation; central platform team provides infrastructure
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-**Progressive Autonomy Maturity Model** - Five levels of agent autonomy (L0: Human-Driven → L4: Autonomous), reducing HITL rate from 100% to <5% over time
> **An open implementation guide for building reliable AI Agents at scale. Defining the practices for AI Reliability Engineering (AIRE).**
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---
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## AIRE Principles
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*Guiding tenets inspired by SRE:*
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---
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## Getting Started
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**New to AIRE?** Start with the **[Getting Started Guide →](getting-started.md)** for a step-by-step adoption roadmap:
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## Repository Structure
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```
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docs/
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This documentation is built from the [ai-reliability-standards repository](https://github.com/exospherehost/ai-reliability-standards). The repository structure includes:
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```text
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docs/ # Documentation source files
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├── index.md # This page (documentation homepage)
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├── getting-started.md # Adoption roadmap for organizations
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