SAN FRANCISCO, CA – 26/04/2026 – (SeaPRwire) – As enterprises intensify efforts to operationalize artificial intelligence, the ability to reliably deploy and manage AI agents at scale has emerged as a critical barrier. Addressing this gap, GoodData has introduced Agent Builder, a new capability within its AI-native analytics and decision intelligence platform designed to streamline how organizations create, control, and scale AI agents across complex business environments.
Agent Builder enables enterprises to transition from isolated AI use cases to a coordinated ecosystem of purpose-built analytics agents. These agents can be tailored to specific roles and deployed across multiple workspaces, customer environments, and user groups, all while maintaining centralized governance and consistency. The release responds to a growing need among organizations that have moved beyond experimentation but continue to face challenges in standardizing and scaling AI deployments without extensive engineering investment.
Bridging the Gap Between AI Prototypes and Production Systems
While many analytics providers have recently introduced agent-based features, enterprises are increasingly recognizing that building an agent is only the first step. The real complexity lies in ensuring these agents operate reliably within production environments, with appropriate governance, contextual awareness, and scalability.
Agent Builder is designed to address these operational challenges by enabling teams to deploy production-ready agents in a matter of minutes. At the same time, it provides comprehensive control over how agents behave, what data they can access, and how they are deployed across the organization.
Core Design Principles Driving Agent Builder
Flexible Development: Code Optional
Agent Builder supports both no-code and developer-driven approaches. Users can create agents using natural language inputs or pre-built templates, defining attributes such as role, skills, personality, and knowledge without writing code. For advanced customization, APIs allow developers to extend functionality as needed.
Context-Aware by Design: Trusted and Governed Outputs
Agents are inherently connected to real-time enterprise data through GoodData’s governed semantic layer, along with integrated AI Memory and AI Knowledge capabilities. This ensures outputs remain consistent, compliant, and aligned with organizational data policies.
Structured Intelligence Framework: Transparent and Traceable
Each agent operates within a structured reasoning framework that plans tasks, selects appropriate tools, executes workflows, and adapts within defined guardrails. All actions are fully traceable and auditable, providing organizations with clear visibility into agent behavior.
Enterprise-Ready Capabilities for Control and Scale
Agent Builder introduces centralized management of agent configurations, including skills, permissions, and behavioral parameters. This allows organizations to customize agents for different teams—ranging from analysts and business users to developers and data engineers—without requiring additional engineering resources.
The platform also incorporates comprehensive observability features, including built-in tracing, performance monitoring, and usage analytics across deployments. These capabilities ensure full lifecycle visibility and support continuous optimization.
Designed for large-scale enterprise environments, Agent Builder supports multi-tenant deployment models, enabling a single agent configuration to be distributed across hundreds of customer instances while preserving governance standards. Additionally, GoodData is expanding support for API-triggered workflows and emerging interoperability standards such as MCP and A2A.
According to Peter Fedorocko, Field CTO at GoodData, organizations have consistently highlighted the difficulty of moving AI agents into production and maintaining sufficient control once deployed. He noted that Agent Builder addresses these challenges by consolidating configurability and scalability into a unified environment, allowing enterprises to rapidly deploy governed, production-ready agents without redundant development efforts.
About GoodData
GoodData is an AI-native decision intelligence platform that helps organizations transform trusted data into actionable insights. Built with a composable architecture and a governed semantic layer, the platform enables scalable analytics, automated decision-making, and seamless integration of intelligence into products and workflows. GoodData supports more than 123,000 companies worldwide and serves approximately 3.9 million users.