The AI workspace for teams
AI that works the way your teams do. Together.
People and AI agents in the same threads, working on what the team already knows, across every frontier model. Governed from the first message, on every plan including Free.
Free 25 users · $500 in credits · No credit card required
The problem
Your company bought AI one person at a time.
Somebody in your company has worked out how to do in two minutes what used to take an hour. Nobody else can see it. Two desks over, a colleague with the same job tried once and went back to the old way. Down the hall, company documents are going into a personal account. Everyone is using a tool built for an individual to do work that has always belonged to a team.
Adoption stops at the power users
A handful of people get real value and the rest of the company never sees their work. What you get depends on how well you prompt.
AI sprawl
Every team buys its own AI at $25 to $60 a seat. Overlapping tools, no standard, no oversight.
Shadow AI
Company data flows into personal accounts your security team cannot see or control.
80%
of employees already use unsanctioned AI tools. IBM, 2025
$670K
additional cost of a shadow AI breach. IBM, 2025
Spaces
A Space for every team, with its knowledge and its agents in it.
A Space holds the team's threads, the team's knowledge and the agents that work for the team. People and agents post in the same threads, so the work is out in the open instead of sitting in somebody's private chat history.
One person's work becomes the team's
Pin an output, add an agent, post a thread, and it is there for everyone in the Space. A new hire reads a month of the team's real reasoning on day one instead of a wiki somebody wrote in a hurry.
Open or invite only, your call
Open Spaces let anyone in the company find and join, which is how good work spreads past the team that started it. One click makes a Space restricted, and an admin can set the default organization-wide.
The Space knows what the team puts in it
Files dropped in a thread and outputs the team pins become part of the Space's knowledge automatically. Connect a Drive folder, a Confluence space or a Notion workspace and the Space knows it in minutes. No ticket to IT for the first answer.
Personal stays personal
Everyone also has a Private Space where their own connections and knowledge live. Nothing appears in a shared Space unless the Space was granted it or a member deliberately put it there.
Link a Space to a Slack channel and the conversation happens in either place. Also on Microsoft Teams, Chrome and the API.
Explore Spaces →AI Agents
Agents that are members of the team, not tools someone runs.
An agent has a name, a job and a permission set. It works in the Spaces it belongs to, draws on what those Spaces know, and acts in the systems where the work already happens.
Built for real work
Deal prep, ticket triage, PR review, contract review, onboarding questions, policy lookup. Add one from the catalogue, or describe the job in one field and confirm what gets assembled.
It already knows the context
A deal prep agent knows your accounts. A support agent knows your past resolutions. No re-explaining what the team's knowledge already holds.
On demand, on a schedule, or on events
Scheduled runs post into the team's threads, so the update lands where the team already reads rather than in a dashboard nobody opens. Workflows chain several steps together on a node canvas.
Accountable, and scoped by IT
Read or write per agent per connector, revocable in seconds. Every agent has a named manager who is its only editor, accountable for re-auth and spend, and recorded on every audit line the agent produces.
Company Brain
Not a search box. The knowledge layer your AI runs on.
Most AI answers from the public internet. OrgLogic answers from what your company actually knows, with the source and the freshness attached to every answer.
Connected across the systems your work lives in
Salesforce, Jira, Confluence, Slack, Google Workspace, SharePoint, ServiceNow, GitHub and more. Your knowledge stays where it lives. OrgLogic reads across it.
Grounded, with sources and freshness
Every answer cites the doc, the ticket or the thread it came from, and when it was last synced. When the answer is not there, OrgLogic says so instead of guessing.
Knowledge at the level it belongs to
Yours in your Private Space, the team's in each Space, the company's across the organization. OrgLogic controls access at each level, so nothing leaks sideways.
Works with the AI you already run
Keep Claude and ChatGPT. Give them your company's knowledge.
Company Brain speaks MCP. A person connects it to their own AI client in a minute, and that tool stops guessing about your business. They get back only what they were already entitled to, every retrieval lands in your audit trail, and admins can restrict or switch it off organization-wide.
Route those same tools through OrgLogic as well and their model traffic inherits your controls too. Grounding them and governing them are separate, and you can take either.
Governance
The reason your company can say yes to everyone.
Every model, every agent, every retrieval: logged, attributable and exportable. On every plan, including Free.
Nothing trained on your data
Contractual. Data goes to model providers by API only, is not retained beyond the time needed to answer, and every provider is under a DPA prohibiting training.
PII redacted before the model
Auto-detected and masked before any prompt reaches a model. Every call, every Space, every agent.
Every action on the record
Thread messages, agent runs and Brain retrievals, including retrievals made from outside OrgLogic. Searchable and exportable.
Per-agent scope, not blanket access
Read or write per agent per connector, revocable in seconds, with a named manager accountable for every agent.
Budgets that actually stop
Per-team limits with hard caps. Spend visible by team, user, model and agent, in real time.
Deploys where you need it
SSO and SCIM, single-tenant VPC and on-premise on Enterprise. TLS 1.3, AES-256, complete isolation between organizations.
Results
What happens when your AI runs in one governed workspace.
91%
Shadow AI eliminated
Unsanctioned AI tool usage dropped 91% after organization-wide deployment.
70%
Lower AI spend
From roughly $40K a month to roughly $12K, through consolidation and smart model routing.
12→1
Tools consolidated
Twelve fragmented AI tools replaced with one governed workspace across every department.
2 wks
Time to adoption
Engineers adopted within two weeks via Slack and Chrome. No training required.
A pre-opening cognitive city development in Florida, fourteen districts, built by a confidential enterprise, put its master plans, designs and investor records in front of frontier models with zero confidential leaks, redacting 1.8M PII items in flight, with CISO sign-off in month one. It now runs 14 agents in production across finance, legal, procurement, investor relations and program management.
Models and cost
Every frontier model. $8 a seat.
Engineers, lawyers and marketers do not want the same model. Switch mid-thread from a dropdown, or let smart routing pick per task. Against the $25 to $60 a seat single-model tools it replaces.
Model usage is separate and we say so: use our keys at cost plus 6%, or bring your own at zero surcharge. Bundled tools hide that layer inside the seat price, which is why they cannot tell you what your model spend actually is.
See pricing →
Get started
Run OrgLogic in production. Delivered by us. Free for the pilot.
01
Start your free 25-user pilot
Invite your team by email or domain. No credit card, no migration.
02
Connect the systems your work lives in
Point OrgLogic at Salesforce, Drive, Confluence, Jira or whatever you run. First use case working in days, not months.
03
Prove it, then scale
Watch adoption and cost per team, agent and model. Take the numbers to your board.
