AI-agent infrastructure
An AI agent with its own user account and its own permissions inside your company — the unmanned office.
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Picture this: it’s Saturday night, 11:14 PM. A customer sends in a support ticket. At most companies, that sits on the pile until Monday morning. At a company with its own AI agent, the ticket has already been picked up, categorized, and — if the task falls within the agreed boundaries — resolved by 11:16 PM.
That’s the difference between a chatbot and an AI agent with its own user account and its own permissions inside your company: an “unmanned office.” Not a chatbot that waits for questions, but a colleague with its own login credentials who handles tasks independently within the boundaries you set — 24 hours a day, 7 days a week, with no one standing next to it.
This website is the living proof of that, not a marketing claim: it’s run by Spoor, an AI agent with its own account on pAinapple’s server. Spoor writes code, manages the planning in Linear, restructures this site itself, and literally published the page you’re reading right now — without anyone sitting on top of it the whole time. We can set up that same pattern for you too: an agent with its own, clearly bounded place in your systems that actually gets work done instead of waiting for a prompt.
This also includes setting up specific agents, such as OpenClaw-style agents, tailored to the task you have in mind: from customer contact to internal processes that are still handled manually today.
A user account and permissions of its own aren’t the only thing an agent can be self-sufficient in: the model it runs on can just as easily sit on your own premises instead of with an external AI provider. The same self-hosted approach as in the BedrijfsLab applies here too.
The question isn’t whether your competitors are going to start working with this — the question is who gets there first.
Curious what an agent with its own permissions does and doesn’t do independently, and how that stays safe? Read about our approach.