While headlines about artificial intelligence (AI) project failures often dominate the news, enterprises are experiencing tangible success by focusing AI efforts on specific areas such as knowledge access. In this domain, search solutions like those offered by Glean Technologies Inc. have become essential for democratizing enterprise AI across the workforce, embedding intelligent tools into daily workflows.
**The Rise of AI in Daily Work**
“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 what they’re thinking about is that, look, AI is happening, and I need to actually bring AI tools to all of my employees and get that education going.”
Jain shared his insights during an exclusive interview with John Furrier at theCUBE + NYSE Wired: AI Factories Data Centers of the Future event, broadcast live on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the growing need for enterprises to design systems that empower users to reach their highest productivity levels.
**The Current State of Enterprise AI**
The past year has seen explosive interest in AI agents—autonomous systems designed to perform business tasks. However, unrealistic expectations have often led to disappointment.
“Agent deployment requires more than imagination; it demands guardrails, monitoring, and secure integration with enterprise systems,” Jain cautioned.
“The last year has been all about AI agents, and expectations have been sky-high,” he explained. “People thought they could bring an agent, automate any business process in their company, and do it in one day. But that’s not how it works.”
**Glean’s Approach: Simplicity and Security**
Glean’s strategy focuses on making it simple for non-technical employees to build useful AI agents, while simultaneously providing the necessary infrastructure for quality, compliance, and security.
With an extensive library of integrations and actions spanning thousands of enterprise tasks, Glean enables organizations to create production-grade AI agents that don’t just converse—they get work done.
“When you build an agent with Glean, we first make it really easy; we are democratizing access to agent building,” Jain said. “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 continued, “We’re also providing infrastructure to help you evaluate, test, monitor, and put the right guardrails in place to ensure agents don’t go wild in the enterprise.”
**The Innovative Enterprise Graph**
One of Glean’s most groundbreaking innovations is the enterprise graph—a connective layer that serves as the neural network of the enterprise.
“Agents don’t operate in isolation; they need data, context, and a human-like understanding of how work gets done,” Jain explained. “We address this well because Glean comes with hundreds of integrations to the most common enterprise systems.”
He added, “If you build an agent and need to access certain data, it’s very easy and seamless with Glean because we’re already connected to all of the enterprise systems. The second thing is that we allow you to take actions directly within these systems.”
For more insights, watch the full 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/
