diff --git a/README.md b/README.md index a5a631e8b..9c1c8837c 100644 --- a/README.md +++ b/README.md @@ -194,10 +194,12 @@ juno-repo/ ## Phase Implementation ### Phase 1: Analytics Foundation -**Status**: 🚧 Prototype -**Capabilities**: Reactive analytics, insights, and reporting -**Deployment**: 2 weeks -**Use Case**: Establish baseline metrics and team adoption +
Expand Phase 1 details + +**Status**: 🚧 Prototype +**Capabilities**: Reactive analytics, insights, and reporting +**Deployment**: 2 weeks +**Use Case**: Establish baseline metrics and team adoption **Core Components**: - **Data Extractor**: Jira API integration and data normalization @@ -211,11 +213,15 @@ juno-repo/ - Query accuracy: 94.8% - System uptime: 99.95% +
+ ### Phase 2: Agentic Workflow Management -**Status**: 🚧 Prototype -**Capabilities**: Autonomous decision-making with governance oversight -**Deployment**: 6-8 weeks -**Use Case**: Transform workflows from reactive to proactive +
Expand Phase 2 details + +**Status**: 🚧 Prototype +**Capabilities**: Autonomous decision-making with governance oversight +**Deployment**: 6-8 weeks +**Use Case**: Transform workflows from reactive to proactive **Core Components**: - **Memory Layer**: Episodic, semantic, procedural, and working memory @@ -229,11 +235,15 @@ juno-repo/ - Autonomous action approval rate: 87.2% - System uptime: 99.97% +
+ ### Phase 3: Multi-Agent Orchestration -**Status**: 🚧 Prototype -**Capabilities**: Cross-team workflow coordination and distributed consensus -**Deployment**: 3-6 months -**Use Case**: Organization-wide workflow automation +
Expand Phase 3 details + +**Status**: 🚧 Prototype +**Capabilities**: Cross-team workflow coordination and distributed consensus +**Deployment**: 3-6 months +**Use Case**: Organization-wide workflow automation **Core Components**: - **Consensus Protocol**: Raft-based distributed agreement @@ -247,11 +257,15 @@ juno-repo/ - Scalability: Linear to 50+ agents - Coordination efficiency: >95% +
+ ### Phase 4: AI-Native Operations -**Status**: 🚧 Prototype -**Capabilities**: Self-optimizing, self-healing operations -**Deployment**: 6-12 months -**Use Case**: Autonomous infrastructure and process optimization +
Expand Phase 4 details + +**Status**: 🚧 Prototype +**Capabilities**: Self-optimizing, self-healing operations +**Deployment**: 6-12 months +**Use Case**: Autonomous infrastructure and process optimization **Core Components**: - **Reinforcement Learning**: Continuous system optimization @@ -265,6 +279,8 @@ juno-repo/ - Automated resolution rate: >89% - MTTR: <5 minutes +
+ --- ## Quick Start