Introducing TSGen: Automated TSG Generation @ Scale – Built by AI

2026-04-03 · Source: Microsoft Foundry Blog articles · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Robotics & Autonomous Systems · Depth: Intermediate, medium

Summary

Microsoft has introduced TSGen, an AI-powered Troubleshooting Guide (TSG) Generator designed to automate the creation and maintenance of TSGs for cloud incident management. This system addresses the challenges of manual TSG creation, which often leads to inconsistent, outdated, and difficult-to-locate documentation, contributing to extended incident resolution times and increased operational costs. TSGen ingests historical incident data, such as past IcM incidents and Kusto queries, to synthesize high-quality, structured, and action-oriented troubleshooting workflows within minutes. It employs a five-step process: Collection, Filtering, Core Incident Selection, Data Distillation, and TSG Generation. The system not only generates new TSGs but also continuously updates them, ensuring relevance and accuracy. Pilot deployments have shown TSGen's effectiveness, with AI-generated TSGs meeting production engineering standards and reducing incident mitigation time by approximately 40%.

Key takeaway

For CTOs and VPs of Engineering managing large-scale cloud operations, adopting AI-driven TSG generation like TSGen can drastically reduce incident resolution times and operational costs. You should evaluate integrating automated knowledge synthesis systems to improve documentation quality, enhance engineer productivity, and preserve institutional expertise, thereby strengthening your incident management posture.

Key insights

AI-driven automation of troubleshooting guide generation significantly enhances cloud incident management efficiency and accuracy.

Principles

• Automate knowledge synthesis from incident data.
• Ensure continuous relevance through ongoing updates.
• Design for dual human and AI consumption.

Method

TSGen's five-step workflow includes data collection, filtering, core incident selection, data distillation to extract patterns, and final TSG generation, transforming incident data into structured guides.

In practice

• Use AI to generate structured troubleshooting guides.
• Implement continuous learning for documentation updates.
• Adopt agentic playgrounds for AI development.

Topics

• TSGen
• Automated Troubleshooting Guides
• Cloud Incident Management
• AI-powered Automation
• Operational Scalability

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, MLOps Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by Microsoft Foundry Blog articles.