Organizations running mission-critical databases face constant pressure to maintain optimal performance while minimizing downtime. Database administrators often find themselves in reactive firefighting mode, manually diagnosing performance issues under pressure. With SQL Server and AI-powered automation, customers can deploy autonomous database agents that proactively monitor, diagnose, and resolve performance bottlenecks without human intervention, while maintaining strict safety guardrails and responsible AI practices.

Learn how to build Agentic AI solution on SQL Server with built-in safety controls and human oversight mechanisms. In this session, we will demonstrate how AI agents autonomously identify performance issues, generate optimizations, and implement fixes while maintaining production stability through responsible AI guardrails.
You will experience real-time database operations where agents parse logs, analyze metrics, and coordinate remediation actions within defined safety boundaries and approval workflows.

Demo Includes
1. Health Check Agent for automated performance diagnostics using DMVs and Query Store analysis
2. Actions Agent for autonomous optimizations including index creation, statistics updates etc.
3. Supervisor Agent coordination with human approval workflows for high-impact changes and safety boundaries
4. (Optional) CloudWatch alarm integration with responsible AI guardrails triggering automatic diagnosis and notifications with
escalation protocols