While headlines about artificial intelligence project failures often dominate the news, enterprises are witnessing tangible success by focusing AI efforts in specific areas such as knowledge access. In this domain, search solutions like Glean Technologies Inc. have become essential for democratizing enterprise AI across the workforce, embedding intelligent tools directly into daily workflows.
**The Rise of AI in Enterprise Knowledge Access**
“You build a product like Glean, give it to all of your employees, and now you’re bringing AI into the day-to-day work of every individual,” said Arvind Jain, founder and chief executive officer of Glean. “That’s actually the first thing that enterprises are doing because they’re thinking, ‘AI is happening, and I need to bring AI tools to all of my employees and get that education going.’”
Jain shared these insights during an exclusive interview with John Furrier of theCUBE at theCUBE + NYSE Wired: AI Factories Data Centers of the Future event, broadcast live from SiliconANGLE Media’s livestreaming studio. They discussed the critical need for enterprises to design systems that empower users to be their most productive selves.
**The State of Enterprise AI**
Over the past year, there has been explosive interest in AI agents—autonomous systems designed to perform business tasks. However, unrealistic expectations have led to considerable disappointment.
“Agent deployment requires more than imagination; it demands guardrails, monitoring, and secure integration with enterprise systems,” Jain cautioned. “Last year has been all about AI agents, and expectations have been sky-high. People thought they could bring an agent in and automate any business process in their company in just one day.”
**Glean’s Approach: Simplicity and Security**
Glean’s approach focuses on making it easy for non-technical employees to build useful AI agents, while simultaneously providing the necessary infrastructure for quality, compliance, and security. With an extensive integrations and actions library encompassing thousands of enterprise tasks, Glean enables organizations to create production-grade agents that do more than just converse—they get real work done.
“When you build an agent with Glean, we first make it really easy; we are democratizing access to agent building,” Jain explained. “You could be a business owner, not a technologist or AI scientist, but you can still build something really cool with AI through our agent builders. It’s becoming very natural.”
He added, “We also provide the rest of the infrastructure to help evaluate, test, monitor, and put the right guardrails in place to ensure agents don’t go wild in the enterprise.”
**The Enterprise Graph: The Neural Network of the Enterprise**
One of Glean’s most important innovations is the enterprise graph, a connective layer that serves as the neural network of an organization.
“Agents don’t operate in isolation; they require data, context, and a human-like understanding of how work gets done,” Jain said. “We excel at this because Glean comes with hundreds of integrations to the most common enterprise systems.”
“If you build an agent and need access to specific data, it’s very easy and seamless within Glean, since we’re already connected to all the enterprise systems,” he continued. “And beyond data access, we allow you to take actions directly within those systems.”
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For a deeper dive into these insights, watch the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of theCUBE + NYSE Wired: AI Factories Data Centers of the Future event.
*Photo: SiliconANGLE*
https://siliconangle.com/2025/09/26/glean-pushes-toward-enterprise-ai-agents-aifactoriesdatacenters/