Dataiku’s enterprise AI push for supply chains and beyond
18 Jul 20253 min read

Summary
- Dataiku is pushing into enterprise AI by promoting modular “agents”—digital assistants that can interact with business systems and workflows at scale, especially useful in complex, cross-functional environments.
- Their platform emphasises strong governance and cost control: it avoids usage-based pricing and supports unified oversight across legacy systems, reducing vendor lock-in.
- In supply chain use cases, Dataiku’s AI is being operationalised: companies are already applying it for contract-clause extraction, planning support, and compliance automation, and the real opportunity lies in securely sharing structured data across partners to improve visibility.
At a recent closed-door media briefing in Singapore, held as an add-on to Dataiku’s global summit series for customers on 17th July 2025, the company shared its latest perspectives on enterprise AI deployment. It was my first encounter with Dataiku, after having read about them in a LinkedIn post by an ex-colleague in the United States on how impressed they are with their AI solutions.
Dataiku positions itself as an AI platform built for large, complex organisations. The session covered a broad range of topics relevant to operational leaders navigating fragmented systems and cross-functional data challenges.
The core of their message was focused on scale and governance. Dataiku is moving away from isolated model development toward modular “agents,” which are enterprise-grade digital assistants that interact with business systems, execute logic, and support data connections across workflows.
These agents are designed to be composable (meaning the ability to swap modular units), allowing companies to update models or systems without locking into a single vendor. For sectors like logistics and supply chain, where processes often span legacy platforms and third-party partners, this flexible architecture could be a practical fit.
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