Agentic AI Strategy
Deploy AI agents at scale with trusted, governed data
One platform for the entire agentic AI journey
Trusted data for agents
Empower AI agents with governed, trusted data at scale to support accurate, confident and compliant decision-making, accelerating business success.
AI and agents for data management
Automate complex data operations with CLAIRE® AI agents to streamline operations, help ensure accuracy and democratize data access.
AI agent engineering
Build, connect, orchestrate and manage custom AI agents and apply trusted enterprise context for smarter business outcomes.
The Evolving Agentic AI Platform: A Guide to Modern AI-Ready Data and Agent Management
Success stories
Why AI leaders choose Informatica
30-second
reduction in call wrap-up time
40% boost
in engineer productivity
-
Modernization
goals delivered
Yamaha achieved all its modernization goals, including improved scalability and reduced overhead and maintenance costs. -
92% faster
data integration
Informatica helps Petmate modernize its data architecture and migrate legacy workloads to unify its complex data management landscape. -
APIs
developed and modernized
Dolby leverages Informatica to enable a cloud-first, scalable architecture, including Informatica-supported internal APIs.
Solve your agentic AI challenges
Organizations want to harness agentic AI, but poor data quality and deployment complexities block successful adoption, making trusted data and secure AI engineering essential.
Ensure trusted, high-quality and governed data to prevent AI bias
Unify your platform to help govern and connect diverse data sources
Reduce total cost of ownership and accelerate AI agent time-to-value
Simplify integration and centralize AI agent governance
Automate manual data operations to speed AI deployment and impact
How IDMC can help
The Intelligent Data Management Cloud™ is a scalable platform that empowers AI agents with high-quality, secure and governed data enriched through metadata intelligence to support seamless workflow automation.
Get a unified, trusted data foundation for AI
Automate complex data operations with CLAIRE agents
Develop custom agents and workflows without coding
Orchestrate all agents in a multi-agent workflow
Trust in your third-party agents with governed data
👁 Background illustration85% of organizations have adopted agents into at least one workflow, demonstrating rapid mainstream uptake.
Need some help getting started?
From Data to Agents: Modernize your Architecture for the Age of AI
From Integration to Intelligence: How Agentic AI Transforms Enterprise Workflows
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Beyond Generative AI: Informatica’s Next Leap to Autonomous Data Agents
WEBINAR
Emerging Data Management Foundations for AI Agent Success
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Agentic Data Management: A Game-Changer for the Modern Enterprise
FAQs for Agentic AI Strategy
AI agents are software programs that use artificial intelligence to perform tasks autonomously. They can perceive their environment, make decisions and learn from data to solve problems or assist users. AI agents are used in applications like virtual assistants, chatbots and automated systems to improve efficiency and user experience.
Agentic AI refers to artificial intelligence systems that can act autonomously with goal-directed behavior. These AI agents perceive their environment, make independent decisions and take actions to achieve specific objectives, often adapting and learning over time. Agentic AI enables more proactive, intelligent automation and problem-solving.
Different types of AI agents used in enterprise data management can include:
- Data collection agents: Automate gathering data from various sources for centralized management.
- Data cleaning agents: Identify and correct errors or inconsistencies to ensure data quality.
- Data integration agents: Combine data from multiple systems into a unified format for analysis.
- Analytics agents: Perform data analysis, pattern detection and generate insights.
- Monitoring agents: Continuously track data pipelines and system health to detect anomalies.
- Recommendation agents: Provide actionable suggestions based on data trends to support decision-making.
- Security agents: Protect data by detecting threats and enforcing compliance policies.
These AI agents streamline data management, improve accuracy and enable smarter enterprise decisions.
To build and deploy AI agents at enterprise scale, define clear objectives and prepare high-quality data for training. Develop models using scalable tools and deploy them on cloud or on-premises infrastructure with containerization. Integrate agents with existing systems via APIs, test thoroughly and monitor performance continuously. Meet compliance with security and governance standards for reliable, scalable AI solutions.
Generative AI creates new content like text, images or music based on learned patterns, while Agentic AI acts autonomously to achieve goals by perceiving its environment and making decisions. Generative AI focuses on content creation, whereas Agentic AI emphasizes independent action and problem-solving.
Explore these related use cases
Analytics & Business Intelligence
Explore AI-powered data management for actionable insights.
Regulatory Compliance & ESG
Leverage regulatory compliance for strategic advantage.
Cloud Modernization & Consolidation
Reduce migration cost, time, risk and effort with a modern data infrastructure.