AI agents that work inside your company and spread across your team
Build agents connected to your company's data and tools. A way of working that succeeded once is saved as an agent, and colleagues run it again with their own data.
No credit card · We build your first agents with you
You adopted AI. The organization didn't change.
More employees use personal AI tools every month. Company-level results still don't show up, for two reasons.
AI doesn't know your company
Price lists, past proposals and transaction history sit scattered across shared drives and in people's heads. Employees paste what they can into ChatGPT, and the answer that comes back would fit any company.
The best user's method ends with that person
Every team has one or two people who get results. Their prompts and procedures stay personal know-how, and everyone else doesn't know where to start. That is why most pilots end without impact.
Turn one success into a repeatable agent
Connect, finish the work, save it as an agent. The third step is what turns one person's result into a team asset.
Connect company data
Upload files to a workspace and connect tools like Google Drive. Agents work from your templates, prices and history.
Finish the work in conversation
Answer questions, confirm choices, and get the finished document. OOI automatically checks that the content matches its sources and that your original template is intact, then marks each document as Verified.
Save and share it as an agent
Extract a finished task into an agent and it becomes a team asset. Colleagues rerun it with their own data and evolve it through versions and forks.
One place to build, verify and spread agents
Not a personal productivity tool. A system where your team's way of working accumulates.
Company context
Files and external connections are shared per workspace. The team shares the material; each conversation stays private to its author.
Automatic verification
Every result is checked automatically for sources, template and calculations, and the outcome is shown on it. Nobody has to re-review a colleague's work from scratch.
Agents as team assets
Immutable versions, forks, official builds and a proposal inbox. Every agent carries its author's name, and the team's method evolves by version.
Open standard
Agent definitions export and import as agent.json and SKILL.md. Pick the model that fits each task.
Start with the work closest to revenue
Work that is decided on paper, repeated often, and done differently by each person is where the first agent belongs.
Quotes and proposals
- Quotes from the current price list
- Proposal drafts built on past proposals
- RFP question responses
Orders and vendors
- Purchase order review and error checks
- Vendor quote comparison tables
- Contract term summaries
Reports and meetings
- Weekly performance reports
- Action items from meeting notes
- Executive briefing drafts
Content and collateral
- Product deck updates
- Customer case study drafts
- Newsletter copy
You won't set it up alone
Self-serve onboarding doesn't work for most organizations. In the first four weeks we pick the work, connect the data and build the first agents together with your lead.
We assess current workflows and the state of your data, and pick two or three tasks where results show quickly.
Set up the workspace and connect material. Your lead finishes a real task and saves the process as the first agent.
Colleagues rerun the agent. Reruns, as-is usage and turnaround time show up on the dashboard.
Your data stays yours. Control stays with you.
Your company decides where and how AI is used.
- Conversations are private by defaultTeam members share material without seeing each other's conversations.
- Share agents, keep your dataWhen another team uses your agent, your material and outputs don't go with it. Each team runs it on its own data.
- Ownership-based controlOnly an owner can edit instructions, publish versions or relax a blocking rule.
- No training on your dataWe use model providers only under terms that exclude your inputs from training.
Measured, not promised
When the trial ends, "did it work?" gets answered in numbers.
Frequently asked questions
Which companies is this for?
B2B companies with 20 to 300 employees and plenty of work decided on documents: quotes, proposals, reports. No dedicated AI staff required.
How is this different from ChatGPT or Claude?
Personal tools end with one person's prompt. OOI saves results built on company data as agents that colleagues rerun, and automatic verification marks make the output trustworthy. The team's method accumulates with use.
Does our data need to be organized first?
The first agent needs material at the level of a price list or past proposals. In week one we check together what exists and where, and route around what doesn't rather than building it.
How does the free trial work?
We contact you within one business day for a 30-minute call to pick the task. Over four weeks we build the first agents with your lead and report the measured results at the end.
Your first agents within four weeks
We get back to you within one business day. Trials start with one lead and three to five team members.
- 30-minute call to pick the first task
- Data connection and first agents built together
- Measured results reported at the end