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Work AI leader Glean today introduced its enterprise Agent Development Lifecycle (ADLC), a new framework and set of platform capabilities designed to help enterprises systematically deploy AI agents and maximize business impact. As organizations scale AI agents across teams, CIOs are under pressure to ensure those agents are useful, secure, and tied to business outcomes. But without a consistent, shared approach, enterprises risk exacerbating AI sprawl.
Glean introduces Agent Development Lifecycle with 7 stages: Opportunity, Design, Performance, Input, Develop, Launch, Monitor & Improve.
Auto Mode Agent Builder lets users describe agent goals in natural language for planning and execution across enterprise graph.
Debug & Trace Views provide step-by-step visibility into every agent run including inputs, tool calls, LLM decisions, and outputs.
Agent Access Policies enable organization-wide guardrails for blocking sensitive content and restricting user groups.
Sub-Agents support modular production-grade architectures where parent agents coordinate specialized agents.
Updated Agent Insights Dashboard tracks adoption, top use cases, estimated hours saved, and feedback trends.
“Enterprises spent the past year proving that agents can generate excitement. The next phase is proving they can generate results,” said Emrecan Dogan, Chief Product Officer at Glean. “Agents are software. They need a disciplined way to be defined, built, launched, governed, and improved over time. The Enterprise Agent Development Lifecycle gives CIOs a repeatable operating model for doing that, and Glean provides the platform capabilities to make it real.”
The seven-stage lifecycle spans Opportunity, Design, Performance, Input, Develop, Launch, and Monitor & Improve - from identifying the business problem an agent should solve and designing the workflow, to defining success metrics, grounding the agent in enterprise context, building and testing it, launching with governance, and continuously improving it based on adoption, feedback, and business impact.
“At HubSpot, we've learned that successful agent adoption is not just about choosing the strongest model. It depends on giving AI the right enterprise context, creating structured enablement so employees know how to use it, and having a clear way to measure what is actually driving value,” said Rich Archbold, SVP Agentic GTM Engineering at HubSpot. “Glean has helped us bring those pieces together as we scale AI across HubSpot, giving our teams a trusted front door for building agents, accessing company context, and understanding where AI is delivering real impact.”
Build agents faster, with stronger context and better visibility:
Auto Mode Agent Builder: Users can describe what they want an agent to do in natural language, and the agent can plan, reason, and execute across the enterprise graph without predefined workflows.
Debug & Trace Views: Full step-by-step visibility into every agent run, including inputs, tool calls, LLM decisions, and outputs.
Sub-Agents: Support for modular, production-grade agent architectures that allow parent agents to coordinate specialized agents at runtime.
Expanded Agent Sandbox: Secure file system and code execution in the customer VPC, plus support for adding apps.
Content & Scheduled Triggers: Agents can react automatically to enterprise events such as content changes, scheduled runs, forms, and external events.
Govern and distribute agents with greater control:
New Agent Library controls with verification badges, featured agents, departmental categories, and soft-delete with admin restore.
Agent Access Policies: Organization-wide guardrails for blocking or flagging sensitive content before an agent can process it, or restricting certain user groups from using agents to write to systems of record.
Treat agents like production systems:
Updated Agent Insights Dashboard: A rebuilt monitoring experience designed to track adoption, top use cases, estimated hours saved, and feedback trends over time.
Glean is the Work AI platform that helps everyone work smarter with AI. Glean Assistant gives every employee a powerful enterprise AI assistant that connects to and understands company data via Glean's Enterprise Graph, and Glean Agents empowers everyone to create, use, and manage AI agents using natural language. Powered by Glean's search and agentic engine, Glean's agents automate work across the organization at scale, while ensuring permissions enforcement, full referenceability, governance, and security.
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