(SeaPRwire) – SAN FRANCISCO, CA – 26/04/2026 – (SeaPRwire) – As organizations increase their focus on operationalizing artificial intelligence, the capacity to reliably deploy and manage AI agents at scale has become a significant obstacle. To bridge this gap, GoodData has launched Agent Builder, a new feature within its AI-native analytics and decision intelligence platform. This tool is designed to simplify the creation, control, and scaling of AI agents across complex business environments.
Agent Builder empowers enterprises to move from isolated AI applications to a synchronized ecosystem of analytics agents built for specific purposes. These agents can be customized for distinct roles and distributed across various workspaces, client settings, and user groups, all while ensuring centralized governance and consistency. This release addresses the increasing demand from organizations that have advanced past the experimental phase but still encounter difficulties in standardizing and scaling AI deployments without significant engineering resources.
Closing the Divide Between AI Prototypes and Production Environments
While many analytics vendors have recently rolled out agent-based functionalities, companies are increasingly realizing that developing an agent is just the beginning. The true challenge lies in ensuring these agents function reliably in production settings, with the necessary governance, contextual understanding, and scalability.
Agent Builder is engineered to tackle these operational issues by enabling teams to deploy production-grade agents in minutes. Simultaneously, it offers extensive control over agent behavior, data access, and deployment strategies across the organization.
Fundamental Design Principles Behind Agent Builder
Versatile Development: Coding Optional
Agent Builder accommodates both no-code and developer-centric workflows. Users can generate agents using natural language prompts or pre-configured templates, defining attributes such as role, skills, persona, and knowledge without writing code. For deeper customization, APIs allow developers to extend functionality as required.
Innate Context Awareness: Secure and Regulated Outputs
Agents are natively linked to live enterprise data via GoodData’s governed semantic layer, alongside integrated AI Memory and AI Knowledge features. This ensures outputs remain uniform, compliant, and aligned with corporate data policies.
Structured Intelligence Architecture: Visible and Trackable
Each agent operates within a structured reasoning framework that schedules tasks, selects appropriate tools, executes workflows, and adjusts within set boundaries. All activities are fully traceable and auditable, giving businesses clear visibility into agent actions.
Enterprise-Grade Features for Management and Expansion
Agent Builder introduces centralized oversight of agent settings, including skills, permissions, and behavioral traits. This enables organizations to tailor agents for various teams—ranging from analysts and business users to developers and data engineers—without needing extra engineering support.
The platform also includes extensive observability tools, such as integrated tracing, performance tracking, and usage analytics for all deployments. These features guarantee complete lifecycle visibility and facilitate ongoing improvement.
Engineered for large-scale enterprise settings, Agent Builder supports multi-tenant deployment structures, allowing a single agent configuration to be distributed across hundreds of client instances while maintaining governance protocols. Furthermore, GoodData is increasing support for API-initiated workflows and new interoperability standards like MCP and A2A.
Peter Fedorocko, Field CTO at GoodData, noted that organizations frequently cite the struggle of transitioning AI agents into production and retaining adequate control post-deployment. He stated that Agent Builder resolves these issues by combining configurability and scalability into a single interface, enabling enterprises to swiftly launch governed, production-ready agents without duplicate development work.
About GoodData
GoodData provides an AI-native decision intelligence platform that assists companies in converting reliable data into practical insights. Constructed with a composable framework and a governed semantic layer, the platform permits expandable analytics, automated decision-making, and the smooth incorporation of intelligence into applications and workflows. GoodData powers over 123,000 businesses globally and supports roughly 3.9 million users.
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