GoodData.AI Capabilities Guide

Description

As teams adopt AI for analytics, the questions shift fast: which AI Assistant, copilot, or agent actually gets used, and can any of it be trusted with real business decisions? Most platforms answer this by adding another chat window. GoodData.AI answers it by building AI directly into a governed analytics layer.

This guide walks through everything you can do with GoodData.AI today: from asking questions in natural language and getting instant visualizations, to deploying copilots that generate summaries and ready-to-share reports, to connecting your own AI agents through an MCP server for reliable access to metrics and business context. It also covers how legacy BI gets modernized into this same governed foundation, and how the platform keeps AI accurate, visible, and cost-controlled at scale.

Inside the guide, you'll learn:

• How the AI Assistant handles self-service analytics: data visualization, forecasting, key driver analysis, anomaly detection, and more, with clarifying questions built in when it needs them.
• How Analytics Copilots automate summaries, insights, and shareable reports from your dashboards.
• What your AI agents can access through the MCP server: from workspace metrics and metadata to executing queries and creating alerts.
• How migration agents refactor, enrich, and modernize legacy BI into one governed semantic layer.
• Five reasons the platform minimizes hallucinations, keeps you in control, and gives you full visibility into AI usage and cost.

Get the full picture of what's possible with GoodData.AI, then see how it applies to your own data and workflows.