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A recent Allganize survey of 1,000 U.S. business leaders using generative AI reveals that nearly 60% plan to adopt AI agents within a year. Awareness of AI agents is rising, with most respondents familiar with the technology. Key drivers include reducing overtime, addressing talent shortages, and improving data usage. Integration with existing systems remains a top concern, highlighting the growing strategic role of AI agents in enterprise operations.
Allganize has released new findings from a survey of 1,000 executives and employees at U.S. businesses already using generative AI. The goal was to understand how these companies are approaching the next wave of AI technology, and enterprise AI agents.
The results show strong momentum. More than half of respondents said their company has either already adopted AI agents or is planning to. Among those preparing for adoption, nearly 60 percent expect their company to implement AI agents within the next year.
Awareness of AI agents is also growing. When asked how familiar they were with the technology more than two thirds of respondents said they had at least some level of awareness, while less than a third were unfamiliar with AI agents.
In terms of adoption, more than half of respondents were implementing or in the evaluation stages of the new technology. Just under 40 percent said their company wasn’t yet aware of AI agents, and a small minority – less than 5 percent – said they weren’t considering them at all.
The survey also showed the business drivers influencing leadership decisions on AI agents adoption. The top challenges that innovation and business leaders were relying on AI agents to solve were reducing overtime and long working hours (35.7 percent), addressing talent shortages (33.2 percent), improving data usage (32.2 percent), and easing heavy workloads (27.7 percent).
For companies that are already using or preparing to use AI agents, the biggest priority is smooth integration with their existing systems. Nearly 40 percent named this as their top concern.
“This survey shows that AI agents are no longer theoretical—they’re being recognized as real, strategic tools in the U.S. enterprise space,” said Changsu Lee, founder and chairman of Allganize. “Companies are starting to see measurable value, and adoption is only going to accelerate.”
Lee added, “Now is the time for organizations to think beyond generative AI. To stay competitive, they need to clearly identify which processes can be automated with AI agents and prioritize those efforts across the business.”
Allganize offers Alli, an all-in-one generative AI platform built specifically for enterprise needs. The platform now includes the MCP-based AI Agent Builder, a no-code tool that allows businesses to create secure, customizable AI agents on top of the company’s industry-leading Agentic RAG technology. MCP (Model Context Protocol) ensures seamless integration across models, tools, and data—while maintaining enterprise-grade security.
Allganize is the leading Agentic AI platform and LLM enabler for security-minded enterprises in Energy, Manufacturing, Construction, Financial Services and Insurance. With over 280 enterprise customers globally, including Geospace Technologies, Coca Cola, Black & Veatch, MOL Logistics and Mitsubishi Chemical, Allganize’s AI agents empower teams with conversational access to all enterprise data – across files, systems, and databases – enabling fast, accurate answers, actionable insights, and seamless workflow automation. Designed for enterprise-grade security and flexible deployment options (on-premise, private cloud, single-tenant SaaS) and built to handle terabytes and petabytes of structured and unstructured data, Allganize’s AI agents and native integrations extend AI-driven knowledge into workflow automation across teams and systems, without requiring coding or development resources.
Founded in 2017 and headquartered in Houston, TX, Allganize enables unmatched ROI on AI initiatives and delivers on its mission to improve the lives of knowledge workers through AI.