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AutoRunAI — AI-Powered Runbook Intelligence Platform
AutoRunAI is an AI-powered Runbook Intelligence Platform developed for Deloitte Hacksplosion 2026 using the GenW.AI ecosystem.
Modern enterprises still rely on static SOP (Standard Operating Procedure) documents during critical incidents. These documents are often outdated, difficult to interpret, and disconnected from the current infrastructure, leading to policy drift, compliance risks, operational errors, and longer downtime.
AutoRunAI solves this challenge by transforming traditional SOP documents into intelligent, validated, and executable runbooks powered by an 8-agent AI architecture.
The platform combines AI agents, knowledge graphs, compliance validation, policy drift detection, and automated runbook execution to enable autonomous enterprise operations.
🚀 Key Features
• 8-Agent AI Architecture for SOP-to-Runbook automation
• Enterprise Knowledge Graph connecting infrastructure and runbooks
• Compliance Validation & Policy Drift Detection
• Explainability Tab to understand each infrastructure node
• Scar Memory to learn from past incidents
• Runbook Automation & Execution Monitoring
• MCP Integration for connecting AI tools with operational systems
🧠 Built Using GenW.AI Suite
AutoRunAI leverages the GenW.AI ecosystem, including:
• GenW App Maker – Building the Runbook Operations Center
• GenW RealmAI – AI model management and runbook intelligence
• GenW Playground – Operational analytics and system insights
• GenW Agent Builder – Creating the 8-agent automation pipeline
• MCP (Model Context Protocol) – Enabling AI tool integrations
🌐 Live Demo
Try the deployed platform here:
🔗genw-ai.vercel.app
💻 Source Code
Explore the full implementation on GitHub:
🔗github.com/kalashjain9/genw-ai
🎯 Vision
Our mission is to move enterprises from manual runbooks to autonomous operational intelligence, enabling faster incident resolution, improved compliance, and intelligent enterprise automation.
Видео AutoRunAI — AI-Powered Runbook Intelligence Platform канала KALASH JAIN
Modern enterprises still rely on static SOP (Standard Operating Procedure) documents during critical incidents. These documents are often outdated, difficult to interpret, and disconnected from the current infrastructure, leading to policy drift, compliance risks, operational errors, and longer downtime.
AutoRunAI solves this challenge by transforming traditional SOP documents into intelligent, validated, and executable runbooks powered by an 8-agent AI architecture.
The platform combines AI agents, knowledge graphs, compliance validation, policy drift detection, and automated runbook execution to enable autonomous enterprise operations.
🚀 Key Features
• 8-Agent AI Architecture for SOP-to-Runbook automation
• Enterprise Knowledge Graph connecting infrastructure and runbooks
• Compliance Validation & Policy Drift Detection
• Explainability Tab to understand each infrastructure node
• Scar Memory to learn from past incidents
• Runbook Automation & Execution Monitoring
• MCP Integration for connecting AI tools with operational systems
🧠 Built Using GenW.AI Suite
AutoRunAI leverages the GenW.AI ecosystem, including:
• GenW App Maker – Building the Runbook Operations Center
• GenW RealmAI – AI model management and runbook intelligence
• GenW Playground – Operational analytics and system insights
• GenW Agent Builder – Creating the 8-agent automation pipeline
• MCP (Model Context Protocol) – Enabling AI tool integrations
🌐 Live Demo
Try the deployed platform here:
🔗genw-ai.vercel.app
💻 Source Code
Explore the full implementation on GitHub:
🔗github.com/kalashjain9/genw-ai
🎯 Vision
Our mission is to move enterprises from manual runbooks to autonomous operational intelligence, enabling faster incident resolution, improved compliance, and intelligent enterprise automation.
Видео AutoRunAI — AI-Powered Runbook Intelligence Platform канала KALASH JAIN
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15 марта 2026 г. 13:56:22
00:10:01
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