Dataiku unveils its Platform for AI Success, with three new tools to help enterprises manage, build and coordinate AI agents amid growing governance concerns.
Somewhere inside your organization, an AI agent is making a decision right now. You may not know it exists. And you almost certainly cannot tell whether it made the right call.
That is the premise behind Dataiku‘s newest product push. The enterprise AI company on Sunday introduced what it calls the Platform for AI Success, along with three new flagship offerings — Dataiku Agent Management, Dataiku Cobuild and Dataiku Reasoning Systems — designed to help large organizations move from deploying scattered AI tools to operating artificial intelligence as a governed, coordinated system.
The announcement comes as corporate AI adoption outpaces the infrastructure built to manage it. In a recent survey of 600 enterprise chief information officers conducted by Dataiku and Harris Poll, 82% said employees are creating AI agents and applications faster than their information technology teams can govern them. A separate McKinsey analysis found that while 88% of companies are using AI, only 6% report extracting meaningful value from it.
“Most organizations are accumulating complexity without accumulating results,” the company said in a statement accompanying the launch.
The Connective Layer
Dataiku frames the new platform around three interlocking requirements it says enterprises consistently struggle to satisfy: enabling workers of varying technical skill to build AI safely in a shared environment; coordinating machine learning models, large language models, agents, business rules and human judgment into real operational workflows; and embedding governance — visibility, validation and performance measurement — from design through to production.
The platform, the company argues, provides the connective layer between those three pillars.
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What the Three Products Do
Dataiku Agent Management addresses what the company describes as a control problem. Agents are proliferating across cloud platforms, enterprise applications and vendor ecosystems, often without a centralized record of what they do or whether they are performing as intended. Traditional monitoring, Dataiku notes, focuses on technical health — uptime, error rates, latency — but an agent can pass those tests while still making incorrect decisions or violating company policy. Agent Management is designed to provide a unified view of agents across platforms including AWS Bedrock, Snowflake Cortex, Databricks and Google, monitoring not just system health but the quality and business impact of agent decisions. Early access is available now.
Dataiku Cobuild, expected to be available in June 2026, is aimed at reducing the lag between a business idea and a working AI system. Users describe an objective in plain language; the tool generates a structured AI project — including pipelines, models, agents and approval workflows — inside Dataiku’s visual environment. The company emphasizes that outputs are auditable and editable before reaching production, distinguishing the tool from coding assistants that generate scripts with limited transparency.
Dataiku Reasoning Systems targets complex enterprise decisions that cannot be handled by a single model — supply chain disruptions, manufacturing volatility, financial risk — by coordinating data pipelines, predictive models, business rules, domain knowledge and human input into governed workflows. The company is launching with a focus on manufacturing operations, with supply chain capabilities planned for the second quarter of 2026 and financial risk management to follow in the third quarter.
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The Broader Argument
Dataiku’s pitch is ultimately a governance argument: that the next competitive advantage in enterprise AI will belong not to companies running the most models, but to those that can see what their AI systems are doing, hold them accountable, and connect them to real business outcomes.
“The question is no longer whether to invest in AI,” the company said. “It is whether the infrastructure exists to make that investment actually work.”
