Celonis announced on May 18 an expanded collaboration with Amazon Web Services (AWS) to help businesses improve their use of artificial intelligence by providing deeper operational context. The new integration connects Celonis’ Process Intelligence Platform directly with AWS services, including Amazon S3 and AWS Glue, using a zero-copy architecture.
The partnership aims to allow companies to create AI agents that better understand business operations and automate complex tasks. By connecting Celonis’ platform with Amazon S3, customers can access real-time data up to five to ten times faster than traditional extraction-based methods while reducing data duplication and storage costs. The integration also supports enhanced security and governance through existing AWS frameworks.
Dan Brown, Chief Product Officer at Celonis, said: “It’s time to move past the era of AI science projects to Enterprise AI that delivers meaningful business outcomes. By integrating with Amazon S3, we are drastically accelerating the time to value for our customers. We’re giving agents built with Amazon Bedrock the immediate, real-time operational context they need to make the right decisions, take the right actions, and drive real value fast.”
Carol Potts, General Manager of US ISV Sales at AWS, said: “Customers don’t want to spend months migrating data before they can see value from AI—they want to put their data to work where it already lives. This collaboration with Celonis makes that possible, bringing deep process intelligence directly to Amazon S3 and simplifying the stack so teams can focus on building smarter AI agents in Amazon Bedrock rather than managing complex pipelines. Together, we’re helping customers move faster from AI experimentation to real operational impact.”
Marco Görgmaier of BMW Group described how this approach helps streamline manufacturing processes: “The zero-copy connection between Celonis and AWS helps us to significantly reduce unnecessary data movement while maintaining control over our process data. It provides the process context needed for analytics, AI agents and automated workflows to identify improvement potential faster and support more efficient operations across the enterprise.”
Amazon is known for its customer-focused approach as well as its range of services in online shopping, cloud computing and technology offerings according to its official website.
The broader implication of this collaboration is a shift toward making enterprise-level artificial intelligence more practical by reducing barriers such as lengthy migrations or duplicated storage needs.
