Informatica expands AWS tie-up for AI data controls

Informatica has expanded its integration with Amazon Web Services, bringing its headless data management tools to AWS AI services. The move centres on access to Informatica's Model Context Protocol servers and CLAIRE Agent skills within AWS systems.

The additions cover AWS Agent Registry and Amazon Quick, where users can discover, invoke and reuse data management functions in AI-driven workflows. The aim is to let developers, data teams and business users connect enterprise data controls to AI agents without building custom links between systems.

At the centre of the update are Informatica's MCP servers, intended to give AI agents access to metadata, data quality checks and master data tools. The services are designed to address a common problem in corporate AI deployments: agents accessing fragmented or unreliable information and producing poor results as a result.

Informatica is also exposing its CLAIRE Agent skills as application programming interfaces for use in Amazon Bedrock AgentCore and Amazon Quick. That means users can call functions tied to data remediation and master data management from within agentic workflows running on AWS.

Data access

The announcement reflects a broader shift among enterprise software suppliers and cloud providers to tighten links between AI systems and governed corporate data. As companies try to move beyond pilot projects and deploy autonomous or semi-autonomous agents in business processes, the quality and lineage of underlying data have become central concerns.

Informatica said its metadata explorer server is intended to help agents understand classifications and business terms, including whether information is sensitive or safe to use. Its master data management server aims to reduce the risk of agents acting on duplicate or incomplete records, while data quality tools are designed to validate information such as address and location data at the point of entry.

Rahul Auradkar, President and GM, Data Foundations, Salesforce, linked the development to broader access to governed data tools inside AI workflows.

"By plugging our data management intelligence directly into AWS agentic workflows, we are giving developers and business users the tools they need to build agents that act on trusted, governed and contextual data," Auradkar said.

"This ensures that high-quality enterprise data management is accessible to all business personas, not just technical teams."

AWS tie-up

The deeper integration gives AWS users another way to add third-party data controls to agent-based systems built on Amazon's AI stack. AWS Agent Registry is positioned as a central place where customers can discover, share and reuse AI agents, tools and related skills across an organisation.

Amazon Quick, also included in the arrangement, will provide access to Informatica's MCP servers and CLAIRE Agent skills at different availability stages depending on the product. MCP servers on Quick are generally available in US regions, while MCP servers on AWS Agent Registry are in preview in US regions. CLAIRE Agent skills on both AWS Agent Registry and Quick are in preview globally.

For customers already using Amazon Bedrock for agentic applications, the integration is intended to reduce the work needed to connect enterprise data governance tools to those systems. Informatica framed that as a way to lower one of the barriers to wider AI adoption in large organisations.

Schneider Electric, cited as a customer voice in the announcement, pointed to the importance of trusted and governed data in turning AI projects into operational use cases.

"As a company deeply invested in AI-driven innovation, we're excited to see Informatica bringing these solutions to market," said Frederique Emery, VP of Services for the Digital Customer Relationship Organisation at Schneider Electric.

"The easier it is for AI agents to access trusted, governed data with the right enterprise context, the more value organizations can unlock from their agentic use cases."

AWS presented the move as part of a broader effort to build out infrastructure for enterprise AI agents. The collaboration underlines how cloud providers are seeking to make registries, orchestration tools and specialist partner services work together as companies test more autonomous software systems.

"Our collaboration with Informatica and Salesforce is focused on helping customers build a robust agent infrastructure on AWS with a solid data foundation," said Swami Sivasubramanian, VP of AWS Agentic AI at AWS.

"The integration of Informatica's MCP servers into the AWS Agent Registry and Amazon Quick marks a milestone in our joint commitment to cutting-edge AI innovation."