Ogment AI - Your AI coworker, in Slack. Just tag @O.
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@O is the ultimate AI coworker that lives natively in Slack.
Tag @O like a colleague, to ask anything or delegate daily tasks in plain English. It connects to 1,000+ tools your business runs on, does work while you sleep, and shares memory and skills across your whole team right in Slack, on any model you choose, including your own.
One-click install, and everyone is AI-enabled in under 5min, not just your power users. Zero friction, maximum adoption.
Replies
Tagged @O to pull a quick sales report from our CRM and it actually nailed the formatting without me babysitting it. The fact that it shares context with my whole team in Slack is a real time saver.
@O - AI coworker in Slack
@sedefm1cb really cool! And the more you connect O to your tools, the better your day becomes!
how does the shared memory actually work between teammates? like if i teach it a workflow once, does my coworker need to retrain it or does it pick up automatically?
@O - AI coworker in Slack
@cemelagno7bj Good q! Your coworker doesn't have to retrain it. Shared memory is admin-managed, so every agent starts with the base context the company wants everyone to have. And when you teach @O a specific workflow, that becomes a skill you can share through an internal skills marketplace, build it once, the whole team picks it up. No retraining from scratch
How does O manage shared team memory and permissions in Slack so it can collaborate effectively without exposing sensitive information across users or channels?
@O - AI coworker in Slack
@satyam_raina Good q, this is core to the design. Two pieces:
Permissions are per employee, and each person's @O mirrors their own access, it can only reach what they're already allowed to reach, so nothing sensitive leaks across users or channels by default. Memory works on two layers: an admin-managed org layer that gives everyone shared base context, and a personal layer that stays private to each user. So you get real collaboration, shared context where it helps, without opening up sensitive work to people who shouldn't see it. Admins keep visibility over the whole thing 🙂
how does the memory and skills sharing actually work across team members, like does everyone see the same context or can you scope it per project?
@O - AI coworker in Slack
@fatmaklwx31 Good q! You can scope it, it's not one flat shared brain. Memory works in layers: an admin-managed org layer everyone shares, plus personal memory that stays private to each user. Skills are shareable too, so a workflow built once can be handed to the team or kept to a project. And since permissions are per employee, each person's @O only reaches what they're allowed to, so project-level scoping holds. Shared where it helps, scoped where it matters 🙂
Hey Teo, tagging it like another person on the team is what makes this click for me. Most tools ask everyone to change their habits, and this one meets people where they already are.
@O - AI coworker in Slack
@raphael_kamm thanks, that's the whole thesis in one sentence 🙂 Changing habits is where most AI tools quietly die, so we tried to build something that needs zero new behavior, just tag it like you'd tag anyone else. Really appreciate you getting it 🙏
the "@O" name being usable as an actual mention in Slack is such a smart move, makes it feel less like a chatbot bolted on and more like an actual teammate people will naturally ping
@O - AI coworker in Slack
@sercannarman - Ha, glad you caught that, the @-mention was a very deliberate choice 🙂 The whole idea was that pinging it should feel identical to pinging a colleague, no new muscle memory.
how does the shared memory actually work across teammates, like does it learn from one person's preferences and apply them to everyone or is it more like a shared knowledge base?
@O - AI coworker in Slack
@cemilkavcqivn Good q! It's not one person's preferences bleeding onto everyone. Two layers: personal memory that learns from your own interactions and stays yours, and an admin-managed org layer that acts more like the shared knowledge base, the base context the company wants everyone to have. So your individual preferences stay individual, while the shared stuff is curated on purpose rather than absorbed automatically.
Tagged @O in our team Slack and it actually pulled the report I needed without me opening another tab. The shared memory across teammates is a nice touch too.
@O - AI coworker in Slack
@sagldanefyuv thank you so much!
Tagged @O this morning to pull last week's client call notes from Notion and it actually just did it. Being able to share automations across the team without another dashboard is a really nice touch.
@O - AI coworker in Slack
@lyasl9qo Imagine how many reports you can delegate to O now :)
Love that @O just slots into Slack like an actual teammate, no separate app or login to babysit. The shared memory across the team is a really thoughtful touch, most AI tools feel like personal gadgets rather than something the whole crew actually adopts.
@O - AI coworker in Slack
@helinb3kk Thanks 🙂 That "personal gadget vs something the whole crew adopts" distinction is exactly the line we were trying to cross, an AI tool only pays off when it's the whole team using it, not just one power user.