Dataiku Turns Business Expertise Into AI Decisions with Expert-to-Agent (E2A)

E2A puts the people who know your business in control, giving them the power to build, govern, and scale AI agents that make real decisions

NEW YORK--(BUSINESS WIRE)--Most enterprise AI is expensive autocomplete, sitting next to your best people, making them slightly faster, and it stops there. The decisions that actually run the business — vendor requalification, claims adjudication, and credit decisioning — still depend on the judgment of a handful of experts who can't scale. Today, Dataiku, the Platform for AI Success, changes that with the launch of Expert-to-Agent (E2A), designed to turn your most critical business knowledge into production-ready AI agents that scale expertise on the governed platform your AI teams trust.

Until now, enterprises have been forced to choose between tools that improve individual productivity but can't execute end-to-end business processes, frameworks that sideline the domain experts whose judgment matters most, and platforms that lack the governance required for production deployment. Often, this leaves the highest-value AI opportunities largely out of reach. E2A solves those issues by bringing Dataiku's entire agent creation and orchestration capabilities into a visual, inspectable platform that empowers domain experts to turn their knowledge into AI agents that make real decisions, on real data, with real accountability.

"The dirty secret of enterprise AI is that the highest-value decisions in any organization are still entirely dependent on a small number of people, and no one has figured out how to change that — until now," said Clément Stenac, co-founder and CTO of Dataiku. "E2A takes what your most experienced people know and turns it into governed AI agents that make real decisions, on real data, at scale across the enterprise."

At its core, E2A solves the harder, higher-value problem: the thousands of complex decisions within every enterprise that require deep institutional knowledge and are today limited by the pace and capacity of your most valuable employees. E2A delivers three capabilities enterprises need to move agents, from demos to decisions:

• Reasoning you can see and adjust. A visual interface gives process owners the ability to encode complex business logic, such as rules, thresholds, and conditions that reflect how decisions are actually made. As the business evolves, they can update it themselves, without waiting on a developer.
• Connected to your knowledge and systems from day one. E2A grounds agents in your enterprise's data, documents, and institutional knowledge, so they operate on business-defined meaning, not just raw inputs. Because they connect to the databases, APIs, and operational systems your business already runs on, cloud or on-prem, they can take action in context, not just generate recommendations for someone else to act on.
• Governance that gets you to production faster. Governance is built in from the start, not bolted on at the end. Evaluation, monitoring, and audit trails are part of the agent lifecycle from day one, with expert review and sign-off built into the process before any agent goes live. That means faster IT approval, fewer surprises in production, and agents that are trusted before they're deployed.

Because E2A connects directly to your ecosystem, agents can take action in context rather than simply generate recommendations for others to execute. Multi-agent orchestration across platforms and tools extends this further, coordinating complex workflows with built-in monitoring and lifecycle management, enabling enterprises to scale AI decision systems without sacrificing visibility or control.

Available today as part of the Dataiku platform, E2A represents a fundamental shift from AI as a productivity layer to AI as an operational backbone for enterprise decision-making.

To learn more about Expert-to-Agent (E2A), visit https://www.dataiku.com/stories/blog/expert-to-agent.

About Dataiku

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, orchestrating, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.