Follow up on leads without delay.
A new lead comes in and your agent responds within minutes. It qualifies, books a meeting, sends a follow-up. Day and night, without your team having to lift a finger.
Responds within minutes We build AI agents that take over specific tasks in your business. Following up on leads, summarizing meetings, building reports. They run 24/7, make no mistakes and get better every week.
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Not because they aren't good at it. But because it's repetitive, time-consuming and error-prone. The same emails every day, the same data, the same reports. Your team is capable of more. Just not while they're stuck in the repetitive manual work.
A new lead comes in. But before anyone responds, three days have gone by. Not out of neglect. Your team is busy with the clients they already have.
After every conversation, every meeting, every call, information slips away. Nobody takes notes. Nobody updates the CRM. Next week no one remembers what was discussed.
You want a weekly read on where you stand. But it takes someone half a day to dig it out. So it never happens. Or it happens too late.
Not a jack-of-all-trades that does nothing well. A digital worker that takes over a single task and gets better at it every week.
A new lead comes in and your agent responds within minutes. It qualifies, books a meeting, sends a follow-up. Day and night, without your team having to lift a finger.
Responds within minutes Your agent sits in on meetings, writes a summary, assigns action items and updates your CRM. Automatically, after every conversation. Nothing forgotten, nothing manual.
Never forget anything again Your agent pulls data from your systems, combines it and presents it. Weekly reports, dashboards that fill themselves, alerts whenever something is off.
Always an up-to-date overview From generating quotes to sending invoices. Your agent picks up an entire process, from start to finish. With human oversight where needed and full transparency about what happens.
From start to finish What it costs
An agent that takes over one task is a smaller project than an agent that drives multiple systems. We always agree a fixed price up front, no hourly billing, no surprises afterward.
Sectors, 08
We do not work generically. In every sector we know the processes, the systems and the language, that saves months.
An AI agent is a digital worker that independently carries out specific tasks within your business, 24 hours a day. Not a chatbot that only gives answers, but a system that takes action. Think following up on leads, capturing meetings or sending invoices, without anyone having to click a thing.
One agent does one task well. For example, following up on leads within 2 minutes instead of 24 hours, capturing meetings and updating your CRM, preparing quotes based on a conversation, or sending invoices and monitoring payments. The narrower the task, the stronger the agent.
RPA follows fixed rules and breaks the moment the input deviates. An AI agent thinks along, weighs context, and can handle natural language and unfamiliar situations. RPA is good for stable, repetitive tasks. An AI agent is good for tasks where someone would normally still have to keep an eye on things.
Yes. We connect agents to the tools you already use: Moneybird, AFAS, Exact, your CRM, Google Workspace, Outlook, WhatsApp. We build on what is already there, not alongside it. No standalone tool your team has to learn separately all over again.
A first working agent is up in 2 to 4 weeks. After that we keep improving it based on what we see in production. No months of writing specs first, but something tangible fast that grows with your business.
It depends on the complexity. A simple agent that takes over one task is a smaller project than an agent that drives multiple systems; those usually run on a retainer model. We always agree a fixed price up front. Book an intro call for a concrete estimate for your use case.
For critical actions we build in a human-in-the-loop. The agent proposes, a person approves. For routine tasks we let the agent work on its own with monitoring and logging as a safety net. You can always see what happens and you can correct it.
Through feedback and monitoring. We build in logging so you can see what the agent does on every action, and the agent learns from corrections. Better every week, not one big release every two years. That is the difference from traditional software.
You know where the friction is. We help you figure out how AI can genuinely fix it.
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