AI agents built to scale in the enterprise

Yes. Dataiku supports both no-code AI agent builders for business teams and full-code development for technical users. Teams can customize agent logic, orchestration, tools, integrations, and data access to fit unique enterprise workflows — whether building conversational AI, RAG applications, or autonomous task execution systems.

Dataiku includes built-in governance across the full agent lifecycle through centralized LLM routing and model management (LLM Mesh), role-based access controls and approvals, guardrails for prompts, tools, and data access, audit trails and monitoring dashboards, AI safety and compliance frameworks. This makes it a strong choice for enterprises seeking governed AI agent orchestration with full compliance controls.

Agents connect to approved enterprise data sources through governed access policies. The LLM Mesh enforces controlled use of data, tools, and models, ensuring privacy, relevance, and regulatory compliance while enabling context-aware AI workflows.

Dataiku provides centralized LLM usage management, including: model routing optimization, quotas and budget controls, usage tracking across agents and teams, spend visibility dashboards. This allows enterprises to proactively manage GenAI costs while scaling multi-agent deployments.

Built-in testing, evaluation, and monitoring capabilities allow continuous validation of agent outputs. Organizations can run automated evaluations, monitor drift and performance degradation, enforce quality assurance workflows, and improve reliability as business needs evolve.