Informatica Launches AI Agent Engineering Service To Prevent Agentic AI ‘Fragmentation’

Informatica also debuted a suite of data management agents that leverage the company’s technology and expertise for data discovery, data quality management and data transformation tasks.

The IT industry is experiencing a wave of AI agent product launches. Informatica, while debuting its own expanded line of data management AI agents, is going one step further and introducing an agentic AI engineering service that can link and manage AI agents throughout an IT network.

The new AI Agent Engineering service will allow organizations to quickly build, connect and orchestrate intelligent AI agent workflows across complex hybrid IT ecosystems.

“Everybody is launching agents. So very quickly, you can see the world will become massively fragmented, with hundreds and hundreds of agents running around,” Informatica CEO Amit Walia (pictured) told CRN in an interview.

“If you strategically take a look forward for the next five, 10 years, the whole app stack is going to get completely unbundled, because you may have agents and databases – that's about it, because ultimately every app work is getting put into agents,” Walia said. “So the problem that our customers are already seeing, they've been telling us as I'm talking to them, is that, ‘Good Lord, I have a massive fragmentation of agents,’ which is analogous to the fragmentation of apps in the old world. And it's going to get worse.”

Along with AI Agent Engineering, which Informatica unveiled at the Informatica World 2025 event last week, the enterprise data management platform developer announced the general availability of the CLAIRE Copilot for data integration and application integration tasks.

Informatica, meanwhile is expanding its own portfolio of autonomous AI agents, launching a suite of CLAIRE Agents that incorporate the company’s technology and expertise in such areas as data discovery, data transformation and data quality management.

AI Agent Engineering, a service within the Informatica Intelligent Data Management Cloud platform, makes it possible for organizations to build, connect and manage “intelligent multi-agent AI systems and compose business applications quickly, securely and at scale,” according to the company announcement.

Walia said business initiatives such as a customer sentiment analysis project or a supply chain optimization effort can fail because of “massive fragmentation” of large numbers of autonomous AI agents from multiple vendors that aren’t connected.

“With AI Agent Engineering, we basically bring together not just our agents, but the third-party agents, and that has been our secret sauce,” Walia said. “We are the Switzerland of data, and we are the Switzerland of AI now, and that means connecting to all of those different agents now because all of those agents have different business logic in them [and] have different ways to understand data.”

AI Agent Engineering provides a unified, no-code environment to orchestrate agents across systems such as AWS, Azure, Databricks, Google Cloud, Salesforce, Snowflake and other platforms.

The service is metadata-aware and context intelligent, according to Informatica, ensuring that AI agents operate on trusted, governed data for context-rich automation by leveraging Informatica’s metadata system. It taps into Informatica’s cloud platform to add data mappings, business processes and other assets into agents.

AI Agent Engineering, which is expected to be globally available this fall, offers a no-code, AI-native interface that can be used by technical and business users to register and discover enterprise-wide agents, and build and manage AI agents without writing code.

Change Agents

At the heart of Informatica’s AI efforts is the company’s CLAIRE AI engine, introduced in 2018 as a machine learning platform. At Informatica World Informatica debuted a series of CLAIRE autonomous agents that incorporate Informatica’s long-time data management expertise and technology.

“Ultimately, AI is a data problem,” Walia said. “No model by itself can solve the problem until you put data in it to get answers out of it. You can put business logic in a model, but business logic by itself will not give you the answer.”

“So for AI projects, data management is all about bringing data from [multiple] places, making sure it's harmonized, it's of high quality and fidelity, that it can be basically put into any business logic that gets created, and then it is governed to make sure that the right people have right access to it,” the CEO said.

“That's data management. That's what we do. And that world is actually getting even more complicated in the world of AI because, ultimately, you still have to bring data together from all those places. You still have to make sure it's of high quality. You still have to make sure it's highly governed,” he said.

Claire Agents expected to be available for preview in the fall of 2025 include Data Quality Agent, Data Discovery Agent, Data Lineage Agent, Data Ingestion Agent, ELT Agent, Modernization Agent, Product Experience Agent and Data Exploration Agent.

The Partner Opportunity

Walia noted that Informatica largely leaves service work to its channel partners and so the new AI Agent Engineering service and CLAIRE Agents present “an unbelievable opportunity” for partners to help their clients develop data pipelines and AI and business processes.

“So for our partners in the world of agentic AI, that customer incremental services opportunity, expanded services opportunity, it actually increases their strategic depth as well as widens the scope of the body of work they can do,” the CEO said.

“AI agents hold great promise to transform business models and usher in new ways of working and, through our collaboration with Informatica, our joint clients can unlock the potential of AI agents with access to trusted data as the foundation for autonomous decision-making,” said Wout Vandegaer, managing director at Deloitte Consulting, in a statement. “With Informatica’s AI Agent Engineering framework, our joint clients can build, manage and connect their own intelligent agents, while Informatica’s CLAIRE Agents can help streamline complex data operations and ensure trusted and compliant data flows.”

Informatica also announced the general availability of CLAIRE Copilot for data integration and cloud application integration tasks. CLAIRE Copilot leverages a number of generative AI models, including Azure OpenAI, to assist developers in generating, documenting and optimizing complex data transformation and integration pipelines, according to the company.