The Work AI platform connected to all your data. Find, create, and automate anything. #WorkAIForAll
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→ 2 hours saved per employee, every week
→ $2.7M+ in owner change orders reviewed and processed by agents
→ 90% company engagement
How does a major infrastructure firm get results like that?
McCarthy Holdings, Inc. used Glean to give teams better context, connect scattered information, and turn manual work into faster workflows.
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Glean retweeted
“Botsitting” is definitely a pain point.
There are very few workflows that I employ that don’t require some level of this.
Interesting listen. podcasts.apple.com/us/podcas…
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Glean retweeted
“Hooked up to ALL internal company systems” with additional mapping of how work happens in the company is the context that @glean brings together in a safe, permissions guaranteed system @GergelyOrosz
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The best coworkers act independently and collaborate where work happens, and that’s no different for an AI coworker.
Our new independent agents have identity, context, memory, proactivity, and accountability built in so they can act on their own while staying within the permissions, policies, and guardrails your organization sets.
Watch an independent agent work with oncall engineers to take an issue from start to finish 👇
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If you’re babysitting your AI, you’re botsitting.
You feed it context, double-check its work, then clean up whatever it got wrong, and suddenly the time you were supposed to save just... disappears.
Digital workers spend 6.4 hours a week botsitting. Here’s where those hours go 👇
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In the @AIDailyBrief, @nlw digs into our Work AI Index report, botsitting, and how to overcome it.
glean-it.com/4eTAjNa
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Glean retweeted
Yep. This is why customers love @glean. It pulls from the systems your company already runs on, respects permissions, works for builders, and is easy for non-technical teams too.
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Work happens in the flow of work.
That’s why we brought Glean into Slack back in 2020, and why we’ve kept building an AI coworker that not only answers questions but helps, collaborates, and acts on your behalf.
The category may be having its moment, but we’ve been building the hard part all along with knowledge that’s safe to share, permissions that hold under autonomy, and actions you can track.
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Glean 🤝 @okta
We’re a proud partner for Okta Cross App Access (XAA).
As AI agents take on more work, enterprises need explicit identity, governed access, least privilege, and full auditability built in. At Glean, secure and governed access has been foundational from day one.
XAA helps customers control what each agent can access through existing identity and policy infrastructure instead of broad user-granted connections.
The Cross App Access (XAA) ecosystem just got a lot bigger. Today, we’re announcing 25+ new integrations with some of the industry’s most critical applications.
For teams, this means improved IT visibility and robust access control into what employees’ AI agents and apps are accessing.
For end users, this means fewer consent prompts and a smoother experience, so agents can keep working on their behalf. Learn more here: bit.ly/43LCCN9
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POV: it’s your first week in a new role and you already have a million questions.
Zain from LinkedIn built an onboarding agent where employees can choose their role and instantly see the answers, access, and support they need to get started.
Watch what @ZainulAbiddin95 built.
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🎉 We’re excited to share that Glean has been recognized as a Market Shaper in the June 2026 @Gartner_inc® Emerging Market Quadrant for No-Code Agent Builders - Start-Up Vendors.
No-code agent building is becoming one of the most important battlegrounds in enterprise AI.
Organizations don’t just need agents that are easy to create, they need agents that are useful, trustworthy, and ready to get real work done.
Today, organizations rely on Glean for:
- Deep enterprise context that helps agents understand the people, knowledge, permissions, and workflows that shape how work gets done
- Governance and security from day one, so agents can operate with the trust and controls enterprises require
- Real actionability across business systems, workflows, and models – helping teams move from fragmented knowledge to meaningful action
Thank you to all of our customers, partners, and community for your support. 💙
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Glean retweeted
Context-poor AI doesn’t just produce worse output, it creates invisible work.
It’s linked to more shadow AI, more cleanup, more reruns, and more people delivering work they can’t explain, according to the Work AI Index from @glean's Work AI Institute.
The real divide in enterprise AI isn’t just model quality. It’s context.
Report linked below.
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