Someone reads the email and types it into the CRM. Someone checks stock in one system and answers the customer in another. Someone chases the approval that has been sitting in an inbox for four days.
None of it is hard. All of it is expensive. And it is the first thing to break when you grow.
An Oido AI employee is not a chatbot you ask things. It is a worker you give a job to. It reads what comes in, decides what needs to happen, goes into your tools and does it.
When something is expensive, irreversible or a judgment call, it stops and asks you, in Slack, in Telegram, wherever you already are.
AI does the work. You stay in control of what matters.
Twenty-two of them, anyway. Install one, connect its tools, and it is working this afternoon. Nothing to design first: each one arrives with its job already described, the tools it uses, the rules it follows, and the decisions it has to bring back to you.
Then shape it around how your business actually works. Change the rules, add your systems, tighten the approvals. It is a running start, not a template you are stuck in.
A food distributor gets orders all day, by email, phone and WhatsApp. Someone used to type every one of them in by hand. Now this does it, start to finish.
An email, a photo of an order form, a WhatsApp message. However the customer sent it.
Looks in all three warehouses to see what is actually on the shelf.
Uses the price agreed with that customer, not the standard list.
Types the order in properly, the first time. Nobody has to do it again later.
On the same channel they wrote in on, with a delivery day.
If the order is unusually big, or the stock does not add up, it stops and asks a person.
Order processing went from 3.5 hours a day to 45 minutes. Rework fell from 6% to 0.4%.
Read the full story →Today's models are very good. The hard part was never the answer, it is everything around it: reaching into the systems you actually run on, knowing your rules, doing it at six in the morning without being asked, and stopping when a call is above its pay grade.
That is the part Oido does. You decide which tools an employee may use, which data it may see, and which decisions it has to bring back to you. Then it goes and works, every day, in the systems your business already runs on.
And Oido is tied to no single model. Use OpenAI, Anthropic, Google or your own, a different one for each job, switched whenever a better or cheaper one arrives. The models will keep changing. What you built on top of them does not have to.
Every number below is the customer's own reporting. We are small enough to know each of these businesses by name.
No learning curve. Oido builds the agents, connects your stack, and runs the work, on your models, your tools, your terms.
See real use cases →New this season, all of it shipped and on the table. Everything runs on your models, your tools, your terms.
One product, three ways in. Most AI platforms hand you a login and a link to the docs. If you would rather someone built the first agents with you, that is a thing we do, and you can move between these whenever you like.
Sign up, connect your tools, describe the job. One flat price for the whole team, not per seat and not per task. Your first AI employee costs nothing to build.
Most businesses know AI should be doing something and cannot pick where to start. Our team maps your processes, builds the first agents against real work, and teaches your people to ship the next ones. First results in about six weeks.
On Enterprise, run Oido inside your own environment, with your infrastructure and your governance. We can set up and manage the n8n side too.
Chases everything overdue, grouped by customer
Built with youAnswers the repeat questions, escalates the rest
Built with youPulls the weekly report into Slack
Built by your teamLogs every call, updates the CRM
Built by your teamThe same platform the €19 plan runs on, deployed the way your security team needs it. With an implementation team when you want one.
Talk to us about enterprise →Your environment, or ours.
Run Oido self-hosted inside your own infrastructure, or in a private cloud we operate. Same platform either way, the deployment changes, the product does not.
Nothing consequential happens unasked.
Put an approval gate on any action you choose, a payment, a send, a delete. The agent pauses and asks a named human, and every step it took is on the record.
Including the system nobody wants to touch.
A custom MCP server puts an agent inside an internal API, a legacy ERP, a POS system. Where there is no API at all, an agent drives the browser instead.
Your models, your keys, your data.
Bring your own providers and your own contracts. Your workflows are portable and your data stays yours, you can leave with both, and we will train your team to run it without us.
Build your first agent today at no cost. Scale to a whole team when you’re ready, your data stays yours throughout. One flat price covers everyone, no per-seat maths.
No. Bring OpenAI, Anthropic, Gemini, or your own model, and switch anytime. Oido is multi-model with no vendor lock-in, so you control your model costs.
No. Oido agents execute real work across your tools, send the email, update the record, run the report, open the ticket, not just answer questions.
One flat monthly price covers your whole team, not per seat, and not metered per task. The bill is the same whether you run a hundred jobs or a hundred thousand. You can start free and build your first agent at no cost.
Self-hosting is available on Enterprise. On other plans, Oido runs in a secure cloud where your data stays private and yours.
Gmail, Slack, HubSpot, Stripe, Google Drive, GitHub, Jira, your databases and REST APIs, plus any MCP server. Custom integrations are available on request.