Glean just made a big push to bring AI agents out of tech demos and into actual workplaces. The company today announced the general availability of Glean Agents, an open platform for building, deploying and managing AI agents across enterprise environments. It’s a significant expansion of Glean’s work AI offerings, with dozens of pre-built agents, broader language model support, and enhanced security measures designed to make AI agents practical for everyday business use.

Key Points

Dozens of prebuilt, customizable agents for business and personal workflows.

Broad LLM choice and per-step model tuning for quality, speed, and cost.

New MCP Server and open APIs enable secure agent interoperability at scale.

Built-in governance, observability, and on-prem deployment via Dell partnership.

The enterprise AI space is littered with experimental agent technologies that never quite make it to widespread adoption. Glean is tackling the core reasons why: fragmented tools, limited data access, inconsistent performance, and security concerns that have kept promising agent technology stuck in proof-of-concept purgatory.

“AI agents should be in the hands of every employee and driving outcomes across the entire enterprise,” said Arvind Jain, Founder & CEO of Glean. “Glean Agents turns that vision into a reality with an open, interoperable platform that integrates across systems, supports leading LLMs, and makes it easy to build and scale agents that actually move the business forward.”

At the heart of Glean’s announcement is an open, model-agnostic approach. Organizations can now select specific language models for different agent tasks, optimize for quality, speed, or cost, and leverage models across Amazon Bedrock, Google Vertex AI, and Azure OpenAI. A new “universal model key” provides access to 15 leading LLMs across major providers, eliminating the need to procure models individually.

For companies concerned about keeping sensitive data on their own infrastructure, Glean announced its first on-premises deployment architecture through a partnership with Dell. This collaboration will allow enterprises to run Glean’s search and agent technologies within their own data centers on Dell’s AI Factory infrastructure.

Glean is also directly addressing the practical challenge of adoption with over 30 pre-built “quickstart” agents for common business functions across sales, engineering, IT, and HR. These ready-made agents can handle tasks like sales prospecting, ticket resolution, code review, and helpdesk automation, potentially shortening the time to value for organizations looking to implement AI agents.

“With Glean Agents, we’re just beginning to explore the possibilities — from accelerating content creation to streamlining cross-functional collaboration — and we’re really excited about the potential impact and the limitless possibilities the platform can unlock across our teams,” said Tadeu Faedrich, Senior Engineering Manager at Booking.com.

The platform includes several noteworthy productivity upgrades, including personal agents for meeting preparation and action item tracking, a deep research agent that combines company and external knowledge for thorough, citation-backed research, and a natural language agent builder that lets employees create agents by simply describing desired outcomes.

On the security front, Glean has introduced “Glean Protect,” featuring safeguards against prompt injection attacks and jailbreak attempts, sensitive content detection across connected systems, and granular permissions controls for agent access.

Industry analysts view platforms like Glean as essential to moving AI agents from experimental to operational. “As organizations look to operationalize AI across their workforces, the ability to build, orchestrate, and manage agents at scale is becoming a critical requirement,” said Andrew Gens, Research Analyst for AI Software at IDC. “Success depends not just on innovation, but on control, interoperability, and enterprise alignment.”

While some features like the natural language agent builder, agent library, and pre-built integrations are available immediately, others including agent triggering, observability tools, and the Glean Agents API are currently in beta. The company says additional capabilities like agent routing and enhanced sensitive content models are coming soon.

What’s notable about Glean’s approach is its focus on practicality rather than just raw technical capabilities. By addressing the full stack of enterprise concerns — from model access to security to ease of deployment — Glean seems to be taking aim at the messy reality of organizational AI adoption rather than just showcasing what’s theoretically possible.

The question remains whether enterprises are ready to give AI agents this level of autonomy and integration. But by focusing on specific, bounded use cases and building in controls, Glean is making a case that the time for enterprise AI agents has arrived.

Now generally available, Glean Agents empowers organizations to move beyond experimentation and embed AI agents across individual employee and business workflows

SAN FRANCISCO, May 20, 2025–(BUSINESS WIRE)–Glean:GO — Work AI leader Glean today announced the general availability and expansion of Glean Agents, the open, horizontal environment for building, deploying, orchestrating, and governing AI agents at work. With broader LLM choice, expanded MCP server support for agent interoperability, complex workflow automation, and built-in governance, Glean makes AI agents real, secure, and enterprise-ready, empowering every employee and team to build, use, and scale agents.

Interest in AI agents is accelerating. Yet fragmented departmental tools, limited access to enterprise data, inconsistent performance, and mounting security concerns have made it difficult to operationalize them reliably and with confidence, leaving the promise of AI agents largely unfulfilled.

Glean addresses these challenges with an open, horizontal environment that brings AI agents into production – grounded in enterprise context and robust security, built to scale. Today’s announcement gives enterprises the tools to move beyond experimentation and operationalize agents among every employee and departmental workflows with the visibility, control, and trust required for enterprise success.

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Glean, a work AI platform, recently announced a series of product and ecosystem updates designed for operationalizing AI agents across the enterprise.

These new updates include collaborations with Dell and Workday, as well as integrations with Palo Alto Networks and Snowflake.

Along with this announcement, the company also expanded its Glean Agents, an open, horizontal environment for building, deploying, orchestrating, and governing AI agents at work.

Glean and Dell partner on on-prem deployment

Through a strategic collaboration with Dell Technologies, the two organizations are partnering to deliver the first on-premises deployment architecture for Glean’s Work AI platform.

The deployment will run on Dell’s AI Factory infrastructure and enable enterprises to securely deploy Glean’s enterprise search and AI agents within their own data centers. It combines the security of on-prem deployment with SaaS-like agility and scale.

“With Glean’s platform now delivering over 100 million agent actions each year, we know what it takes to make AI work at scale,” said Arvind Jain, Founder & CEO of Glean. “By collaborating with Dell Technologies, we’re working to bring that power on-premises to give enterprises the control, security, and performance they need to unlock real value from AI.”

Glean and Workday team up on interoperable AI agents

By joining forces, Workday — an AI platform for managing people, money, and agents — and Glean are working to enable agent-to-agent collaboration that will seamlessly exchange information and initiate actions across both organizations’ platforms to streamline HR and finance workflows.

Workday’s HR and finance platform will combine with Glean’s enterprise-wide insights to enable joint customers to gain greater insights and context into HR and finance tasks.

“Interoperability is core to our vision for enterprise AI agents — agents that can work across systems, not just within them,” said Tamar Yehoshua, President of Product & Technology at Glean. “We are excited about the transformation that Glean and Workday can deliver together, enabling agents to connect insights and actions across platforms so work flows more seamlessly across the tools our customers rely on every day.”

Glean partners with Palo Alto Networks to secure AI agents

Glean and Palo Alto Networks are partnering to secure and accelerate the use of AI agents in the enterprise.

Through new integrations to Palo Alto Networks Prisma AIRS and Prisma Access Browser and AI Access, Glean customers will receive enhanced visibility and control over AI agent operations and interactions with sensitive enterprise data. These integrations will enable innovation without sacrificing trust, security, or compliance.

“At Glean, we’ve always believed that security isn’t an add-on — it’s foundational to scalable AI,” said Jain. “With Glean’s platform delivering over 100 million agent-actions per year, it’s clear that AI is central to how work gets done. As agents take on greater responsibility across the enterprise, together with Palo Alto Networks, Glean meets the highest standards of protection, while continuing to push the limits of what AI can accomplish at work.”

The new integration of Prisma AIRS with Glean’s platform offers secure AI adoption at scale with Runtime Security to protect against real-world threats and ensure agile AI adoption. Additionally, it provides cloud data governance Posture Management that unifies SaaS data governance across the 100+ connected SaaS applications in Glean.

Glean and Snowflake to partner on structured data insights

Through a strategic collaboration with Snowflake, Glean is working to simplify and accelerate structured data analysis for enterprises.

Glean will now integrate directly with Snowflake Cortex Analyst and enable users and agents to query structured data stored in their Snowflake environment directly from Glean using natural language or SQL.

Joint customers will benefit from this collaboration by receiving immediate access to Snowflake insights with no SQL expertise required: gain complete context from all enterprise data from platforms such as Gmail, Google Drive, Jira, and Slack; attain faster, smarter decision-making across sales, marketing, support, and engineering; and automate insights in business processes to enable the creation of complex analysis workflows.

“We believe every employee should be able to ask a question and get an answer — no technical skills required, no time lost waiting — regardless of where that data lives,” said Yehoshua. “With our support for Snowflake Cortex Analyst, we’re working with Snowflake to close the gap between data and decisions, empowering organizations to work smarter, faster, and with full context.”

Glean recently collaborated with Cisco on AI solutions to improve employee experience and accelerate decision-making. Read more about Cisco’s new AI capabilities in the Webex suite of solutions to target customer experience.