Enterprises can now deploy governed analytics agents in minutes

GoodData, the AI-powered analytics and decision intelligence platform, today announced the launch of Agent Builder, a new capability that expands its platform with a dedicated environment for building, configuring, and scaling AI agents across the enterprise.

Agent Builder enables organisations to move beyond single-purpose AI assistants and instead deploy multiple, purpose-built analytics agents that can be precisely configured, governed, and scaled across customers, workspaces, and user groups.

The launch addresses a growing enterprise challenge: while organisations are rapidly moving from experimentation to production with AI agents, consistent, secure, and scalable deployment across business units remains difficult without significant custom engineering.

From experimentation to enterprise scale

While most analytics vendors have introduced basic agent functionality in recent months, enterprises are discovering that the real challenge is not building an agent—it is operationalising and scaling custom agents that are reliable, governed, and context-aware across complex environments.

Agent Builder is designed to close that gap by enabling teams to launch production-ready agents in minutes while maintaining full control over behaviour, data access, and deployment structure.

Three core principles behind agent builder

Easy Development: Code or No-Code
Users can create agents using natural language or templates, configuring role, skills, personality, knowledge, and access through an interface—no coding required. Advanced users can extend agents via API.

Context Connected by Default: Grounded and Governed
Agents are automatically connected to live, permission-aware enterprise data via GoodData’s governed semantic layer, AI Memory, and AI Knowledge, ensuring consistent and compliant outputs.

Pre-Built Agent Framework: Observable and Traceable
Agents use a structured reasoning framework that plans tasks, selects tools, executes steps, and adapts within guardrails. Every action is fully observable and auditable.

Built for enterprise control, observability, and scale

Agent Builder provides centralised control over skills, personality, knowledge, and permissions, enabling organisations to tailor agents for specific teams and use cases without engineering effort. All agents include built-in tracing, performance monitoring, and usage analytics across users, workspaces, and deployments, ensuring full observability throughout their lifecycle.

Organisations can deploy tailored agents for analysts, business users, developers, and data engineers, each designed to support their specific workflows and requirements. Built for enterprise scale, Agent Builder supports multi-tenant deployments, allowing a single agent configuration to be rolled out across hundreds of customer environments while maintaining governance and consistency. GoodData is also extending support for API-triggered execution and emerging agent standards, including MCP and A2A.

We kept hearing the same thing: the agent works, but getting it into production takes too long, and once they’re live, there’s not enough control over configuration and governance,” says Peter Fedorocko, Field CTO, GoodData. “That gap exists because the pieces were never made configurable and scalable in one place. Agent Builder closes it. You go from blank slate to governed, production-ready agent in minutes and deploy it everywhere without rebuilding anything.”