Enterprises are embracing generative AI to help streamline and accelerate activities that previously demanded human input and intent. Leading analysts predict that the next phase of the AI revolution will see the widespread adoption of agentic AI technology: autonomous systems capable of operating and making decisions independently from humans.
Maximize security, agility, and compliance with a future-ready AI integration platform
Just as large-language models (LLMs) are reshaping the knowledge economy, agentic AI technology promises to fundamentally transform an even wider range of industries. For example, Gartner predicts that 60 percent of brands will use agentic AI to deliver ultra-personalized experiences by 2028,1 and that agentic AI will independently resolve 80 percent of the most common customer service issues by 2029.
AI agents have the potential to transform a wide range of corporate systems and processes. To do so, they must interact directly with enterprise applications, data sources, and operational workflows.
In financial services, AI systems can monitor transactions in real time, detect anomalies, investigate suspicious activity, and temporarily freeze accounts that show evidence of fraud. In the insurance sector, AI agents can validate claims, verify customers’ coverage levels, and identify inconsistencies such as discrepancies between laboratory results and medical prescriptions before automatically approving, rejecting, or escalating cases to human experts. And in manufacturing, AI-powered solutions can analyze sensor telemetry from industrial equipment, detect early signs of failure, and proactively schedule preventative maintenance before operational disruption occurs.
But when it comes to agentic AI adoption, significant challenges remain. Businesses will need to allow AI agents to access, consume, and generate sensitive data across multiple systems, APIs, clouds, and on-premises environments. This will be crucial, as AI agents must adhere to the same requirements around data residency and sovereignty, regulatory compliance, and auditability, traceability, and accountability that apply to the human workforce.
While moving quickly to embrace agentic AI adoption promises to unlock substantial competitive advantage, unleashing AI agents into complex on-premises and multi-cloud infrastructures has the potential to create integration sprawl, fragmentation, and architectural chaos.
To prepare for the new era of agentic AI, businesses must act now to build a unified and automated integration layer for agentic systems that can orchestrate data flows, system interactions, and AI-driven automation across hybrid environments. The key objectives should be rapid development and scalability for AI-powered workflows, robust security and control for every AI interaction, and regulatory compliance and deployment control from end to end.
Turn integration friction into orchestrated control.
