AI Agent Engineering: New service enables enterprises to build, connect and manage intelligent AI agent workflows
Informatica, an AI-powered enterprise cloud data management leader, announced its comprehensive strategy for Agentic AI, building on the company’s position as the industry’s first AI-powered cloud data management platform. Informatica’s strategic approach to Agentic AI expands on the company’s AI innovation history, which includes the launch of CLAIRE® GPT, CLAIRE® Copilot and GenAI blueprints for major cloud ecosystem partners.
As the resilient backbone of enterprise data and AI strategies, Informatica provides the critical metadata system of intelligence that enhances decision-making and AI outcomes through a comprehensive catalog of an organization’s data assets.
“As the world of AI agents proliferates, the winners will be those who can connect, govern and manage agents at scale while providing enterprise-wide access to trusted data,” said Amit Walia, CEO at Informatica. “With the launch of CLAIRE® Agents and AI Agent Engineering, we are redefining what is possible in data management and AI orchestration. By combining the deep intelligence of our CLAIRE Agents with a no-code, enterprise-grade foundation, Informatica empowers businesses to turn autonomous agents into a strategic advantage, securely and confidently. With AI Agent Engineering, we’re enabling organizations to rapidly build, connect and orchestrate intelligent agent workflows across complex hybrid ecosystems, all without writing a single line of code.”
Also Read: Archive360 Debuts AI-Ready Governed Data Cloud for Enterprises
According to Gartner®, “Through 2026, those organizations that don’t enable and support their AI use cases through an AI-ready data practice will see over 60% of AI projects fail to deliver on business SLAs and be abandoned.”1
New AI Agent Engineering Service to Build, Connect and Manage Multi-Agent AI Systems
Agents offer more resilient solutions that reason rather than depend on rigid and rule-based code. In an AI Agent world, trusted data becomes even more critical as agents will make autonomous decisions based on it. While many application vendors are building domain-specific agents, the solution to meaningful enterprise business problems often requires connecting siloed sources of information. As AI Agents proliferate across enterprises, the ability to connect, manage and govern them is paramount to ensure enterprise service quality (performance, scale), security and compliance.
AI Agent Engineering, a new service within Informatica’s Intelligent Data Management Cloud platform™, empowers organizations to build, connect and manage intelligent multi-agent AI systems and compose business applications quickly, securely and at scale. It provides a unified, no-code environment to seamlessly orchestrate agents across ecosystems like AWS, Azure, Databricks, Google Cloud, Microsoft, Salesforce, Snowflake and more—bridging the gap between innovation and enterprise operations.
Key Capabilities:
- Metadata-aware and context-intelligent: Ensures AI agents operate on trusted, governed data for context-rich automation leveraging Informatica’s metadata system of intelligence.
- Leverage existing investments from Informatica’s cloud platform as skills: Includes mappings, business processes and other assets, into third party agents.
- Enterprise-grade performance: Built on Informatica’s proven scalable and secure AI-ready platform, supporting mission-critical workloads globally.
- No-code, AI-native interface: Enables both technical and non-technical users to register and discover enterprise-wide agents, build and manage AI agents without writing code.
Source: Businesswire
