Enterprise AI is moving faster than many organizations can govern, and Dataiku aims to provide the missing control layer. Today, the company unveiled its Platform for AI Success, a major evolution of its enterprise AI platform designed to take AI initiatives from pilots into measurable business performance.

The launch introduces three first-to-market products:

• Dataiku Agent Management – Cross-platform visibility, governance, and business-value measurement for deployed AI agents

• Dataiku Cobuild – AI-assisted agent and workflow creation in a fully visual, inspectable environment

• Dataiku Reasoning Systems – Orchestrated, industry-specific decision intelligence delivered by coordinated agent teams

The platform will be demonstrated at the Gartner Data & Analytics Summit in Orlando (March 9–11, Booth 401), showing how enterprises can move beyond experimentation to accountable AI at scale.

A Unified Orchestration Layer

As AI spreads across clouds, models, and agents, fragmentation is creating risk: duplicated work, blind spots, inconsistent performance, and rising operational costs. Dataiku’s Platform for AI Success unifies people, orchestration, and governance in a single environment, allowing enterprises to:

• Connect data platforms, foundation models, and third-party agent frameworks without vendor lock-in

• Build, validate, deploy, monitor, and manage AI systems under embedded governance

• Enable domain experts, analysts, and engineers to contribute safely and productively

“Without orchestrating complex technologies and governing AI at every step, initiatives never move beyond proof-of-concept,” said Florian Douetteau, CEO of Dataiku. “We built our platform to solve exactly that roadblock.”

Dataiku Agent Management: Measuring Impact, Not Just Uptime

One blind spot in enterprise AI is operational relevance. An agent may be technically running but fail to deliver real business value. Dataiku Agent Management addresses this by measuring agents against business KPIs, detecting performance drift, flagging risks, and triggering governance workflows. Organizations can finally answer: Is this agent actually worth running?

The Early Access Program for Agent Management is available now.

Dataiku Reasoning Systems: Orchestrated Decision Intelligence

Going beyond individual automation, Reasoning Systems combine data, models, agents, and business rules into a single governed decision environment. Enterprises can orchestrate AI systems that mirror real-world operations while maintaining transparency and oversight.

The Manufacturing Operations module is available immediately, with Supply Chain and Financial Risk modules planned for 2026.

Dataiku Cobuild: Visual, Business-Friendly AI Development

Launching in June 2026, Cobuild allows business users to describe objectives in natural language, generating end-to-end AI projects—including pipelines, models, agents, and applications—within a visual, step-by-step interface. Unlike opaque “vibe coding” assistants, Cobuild ensures transparency, traceability, and governance from design to deployment.

From AI Activity to Measurable Performance

The Platform for AI Success reflects a larger market shift: competitive advantage now comes from coordinating AI across systems, empowering experts, and embedding governance, not just access to models.

“No amount of prompt engineering replaces structured orchestration,” said Clément Stenac, CTO of Dataiku. “Enterprise decisions require data feeding models, models informing agents, and agents controlled by business rules and human oversight. That coordination layer is missing in most deployments, so our platform fills that void.”

By acting as an independent orchestration layer, Dataiku helps enterprises scale AI responsibly while retaining flexibility in technology choice—turning AI pilots into measurable, trusted business outcomes.

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