Collate: AI-Powered Root Cause Analysis with MCP & Claude AI (v1.8)

See how Collate's enterprise-grade Model Context Protocol (MCP) support for Claude AI transforms complex data investigation from manual detective work into AI-powered root cause analysis.

Traditional vs AI-Powered Approach:
* Manual: Navigate multiple screens, check lineage, analyze observability layers
* AI-Powered: Single prompt generates complete RCA with impact analysis
* Results: Minutes of investigation compressed into seconds of AI analysis

What the AI Analysis Provides:
* Identifies failed test cases and exact column count mismatches
* Traces data flow from source to affected downstream assets
* Maps impact across models, dashboards, and databases
* Delivers actionable recommendations and next steps

Bonus Feature:
* Auto-generated executive dashboard summarizing critical issues
* Ready-to-share artifacts for stakeholder communication
* Complete impact assessment with upstream and downstream effects

This demo shows how schema evolution issues (adding columns while tests expect fixed counts) can be diagnosed and documented, eliminating the hunt to piece together the full story.

Perfect for: Data engineers and analysts who need fast, thorough incident investigation and clear communication of data issues.

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