Boomi this week added additional data management and governance capabilities to its integrated platform-as-a-service (iPaaS) environment, including a set of patterns that provide workflow guidance and recommendations for artificial intelligence (AI) agents.

Additionally, the company has added a Boomi Meta Hub that provides a central system of record for business logic across an application ecosystem along governance capabilities that are now being extended to the Cortex Agent developed by Snowflake.

Boomi has also added Agent Session Logs to enable organizations to audit workflows and extended its governance capabilities to SAP data.

Finally, Boomi also unfurled a European Platform Instance of its platform that enables organizations to deploy its iPaas within a sovereign cloud computing environment hosted within the borders of the European Union (EU).

Michael Bachman, head of research and emerging technology for Boomi, said each of these additions and extensions to the Boomi iPaas environment are intended to enable organizations to streamline the management and governance of data using a framework that is already widely used to integrate applications and workflows.

Those capabilities are more critical than ever in an era where massive amounts of data will soon be accessed by thousands of AI agents in near real time, he added.

In effect, Boomi is now pressing a case for managing and governing all that data within the context of an iPaaS rather than requiring organizations to acquire and deploy an additional framework from a third party vendor. The Boomi iPaaS now provides a central point of governance, said Bachman.

That approach provides the added benefit of helping to control costs by making sure AI agents only access relevant data versus trying to access any and all data that might be available, noted Bachman. AI agents have already shown they have a voracious appetite for data regardless of the task at hand, he added.

Most organizations in the months ahead will undoubtedly be revisiting how data is managed and governed in the age of AI. In fact, the Futurum Group projects the global data intelligence, analytics, and infrastructure (DIAI) market will grow at a 17% compound annual growth rate through 2028 off a base of $541.1 billion in 2026 and will exceed $1.2 trillion by 2031. As those investments are made, the role of internal IT teams evolve as the need to make sure the right data securely arrives at the right place and time becomes a more pressing requirement in the age of AI, noted Bachman.

Just as importantly, the controls need to be in place to ensure that AI agents are accessing the freshest data available versus older versions that they have somehow managed to access, he added.

In the meantime, IT teams should assume that master data management (MDM) issues that have often been ignored in the past are going to manifest themselves at scale in the AI era. The challenge and the opportunity now is to address those issues now before potentially thousands of AI agents expose them in a way that everyone in the organization will soon notice.