AI agent orchestration that keeps your systems in sync
AI agents show precision while doing one task at a time. The problem comes when you try to
make a bunch of them work together; that’s when things can get slow, confusing, or expensive.
Glean helps manage all these agents so they work like a well-organized team.
Create AI agents with natural language
Most people don’t want to design rigid flows or fight with branching logic. They want to type what they need and have the agent actually get it. With Glean, you just describe the task in plain. It breaks it down, fills in the structure, and builds the agent for you. It handles all the messy parts automatically:
It’s the difference between forcing people through a script and letting them talk like humans. You explain the job. Glean builds the agent flexible, grounded in your data, and ready to run.
Automate workflows with orchestration
Multi-agent systems break down fast without the right coordination layer. Tasks run out of order, state gets lost, errors vanish into logs, and you’re left guessing which agent failed and why. Glean’s orchestration engine fixes that by giving every workflow a clear structure and a durable execution model.Glean handles the heavy technical work for you:
- Declarative workflows
Define branching, looping, retries, escalations, and human approval steps—without hand-coding chains between agents. - Durable state + checkpointing
Every step is saved, so workflows can pause, resume, or recover from failures without losing context. No more “start over from the top” issues. - Parallel and sequential coordination
Run agents at the same time when possible, or in strict order when required. Glean manages dependencies automatically. - Secure tool calls
Every agent call is permission-checked and logged. You know exactly who accessed what and why. - Full observability
Trace graphs, input/output logs, and step-level visibility make debugging straightforward instead of painful.
Under the hood, Glean keeps workflows consistent, predictable, and production-safe—so your agents behave like a coordinated system, not a collection of separate bots.
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Connect securely to enterprise data
Glean gives your agents access to company data without exposing your systems or creating new security risks. Every connection is permission-aware, auditable, and tightly controlled.
- No raw credentials to the model
Agents never see API keys, tokens, or database access. Glean handles execution in a secure layer. - Enforces your existing permissions
AM rules, AD groups, SaaS permissions, whatever your org uses, Glean respects it automatically. - Read-only by default
Write access is scoped, approved, and logged so nothing changes unless you want it to. - Built-in redaction and field-level masking
Sensitive fields stay hidden or hashed, and logs remain clean without extra engineering work. - Safe access across all your systems
Databases, internal APIs, SaaS apps — Glean connects to everything without custom scripts or brittle tooling. - Consistent, up-to-date data
Agents rely on live enterprise data, not stale snapshots or ad hoc retrievers.
Glean gives your agents access to company data without exposing your systems or creating new security risks. Every connection is permission-aware, auditable, and tightly controlled.
Refine and improve continuously
Agents shouldn’t freeze the day you ship them. Glean is built so you can keep upgrading how your agents think, what they know, and what they’re allowed to do—without breaking production or your compliance layer.
- Ship fast, change safely
Every edit—new step, different model, tweaked prompt, added tool—is tracked as a version. Test it, compare behavior, and roll back in one click if it doesn’t hold up in the real world. - Learn from every run, not just gut feel
Glean logs full agent traces: what tools were called, what data was touched, where the conversation branched, and where it failed. You see exactly which step slowed things down, hallucinated, or hit a permission wall and fix that, not everything. - Close the loop with real users
Thumbs up/down, escalations to humans, edits to outputs, approvals on high-risk actions.Glean turns this into signal. You can tighten prompts, add guardrails, or split a “do everything” agent into focused specialists based on what actually happens in production. - Test prompts, tools, and models in isolation
Swap a model, harden an instruction, or replace a brittle internal API with a more secure tool without redesigning the whole flow. Glean keeps reasoning, orchestration, and execution loosely coupled so you can tune each layer separately. - Treat data quality as part of iteration, not an afterthought
Swap a model, harden an instruction, or replace a brittle internal API with a more secure tool without redesigning the whole flow. Glean keeps reasoning, orchestration, and execution loosely coupled so you can tune each layer separately. - Make one win reusable across every agent
When you find a better triage pattern, review loop, or handoff rule, you can reuse it across agents and teams instead of re-learning the same lesson five times.
With Glean, continuous improvement isn’t a risky rewrite, it's how your agents quietly get faster, safer, and smarter week after week.
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How to choose an AI Agent Builder (Features to look for)
If you’re evaluating AI agent builders, here’s what actually matters.
- Real agents, not chatbots
The platform should let agents make decisions and take actions not just generate text. - Built-in orchestration
Look for branching, looping, retries, and human approvals. If it can’t handle non-linear workflows, it won’t survive production. - Secure, permissioned data access
Role-based access, automatic redaction, and least-privilege by default. If the builder can’t protect your data, nothing else matters. - Full transparency and logging
You need to see every step an agent took, which tools it used, and why. Audit trails are non-negotiable. - No-code that still handles complexity
You should be able to build and edit agents visually, but still add logic, conditions, and the right model for each step. - Easy integration with your stack
Native connectors, API support, and flexibility to use your preferred LLMs. Avoid platforms that box you in. - Safe iteration and versioning
Automatic version control, testing, and rollbacks so you can improve agents without breaking live workflows.
Choosing the right AI agent builder isn’t about demos—it’s about whether the platform can survive real enterprise use.
How Glean’s enterprise AI works
