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Agents and automation that take over the dull work

Invoices that book themselves in, emails that wait ready to send and tasks that get finished without anyone having to remember them.

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Rules where it can, AI where it must

We automate in two flavours. For work with fixed rules, such as moving data from system A to system B, we build classic process automation: a script that does exactly the same thing every time, fast and without errors. For work where interpretation comes in, such as understanding an incoming email or reading a badly scanned invoice, we put in AI agents that read, decide and act.

In practice we mostly build combinations. An incoming invoice is read and checked by an agent, booked into your accounting package by a script and, in case of doubt, put in front of you for approval. The same pattern fits quote follow-up, mailbox triage, order processing, reporting and just about every administrative task sitting on a pile today.

Worth knowing: the agent works inside your existing tools. Your accounting package, your mailbox, your CRM and your planning all stay where they are. We build the layer that works in between.

How we work

From task to automation

We draw safe boundaries first and give the agent more freedom only when the results earn it.

  1. Week 1

    We map the process

    With all the exceptions nobody likes to talk about. Per step we pick the simplest solution that is reliable.

  2. Week 1

    Boundaries & proposal

    A script where it can, an agent where it must. You get a fixed proposal with a price and a date.

  3. Week 2–6

    Building with caution

    Actions that move money or change data pass an approval step that you define first.

  4. Week 6–8

    Close supervision

    The automation runs under close supervision. We measure how much the agent gets right and keep sharpening.

  5. After that

    Working on its own

    As trust grows, you loosen the reins. The agent takes the work over step by step.

Less admin, fully traceable

A working automation with a dashboard that shows you at a glance what happened: what the agent handled, what is waiting for your approval and where it needed help. Every action is logged and findable, so you never have to guess what happened to a file.

For your team the tasks nobody enjoys are the ones that disappear. The hours that go into retyping, booking and chasing today shift to work your customers notice.

What is in your automation

This comes as standard in every automation we deliver.

  • Automation of your chosen process, end to end
  • Document handling with OCR and AI extraction
  • Connections to mailbox, accounting and CRM
  • Approval flow for sensitive actions
  • Dashboard with everything the agent did
  • Alerts when the agent is unsure or something fails
  • Full logging of every action
  • Documentation and handover

In practice

Automation that takes manual work away

All cases
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Questions about agents & rpa

What is the difference between RPA and an AI agent?

RPA follows fixed rules and is perfect for predictable work, such as moving data between systems. An AI agent can also read, interpret and decide, which makes it suitable for work with variation, such as understanding emails or reading documents. The best result is usually a combination of both.

Which tasks can I have automated today?

Think of reading and booking invoices, sorting email and drafting replies, moving data between systems, following up quotes and putting reports together. A good rule of thumb: if someone does it every week in roughly the same way, it can probably run automatically.

Is this only something for large companies?

The opposite is true: the gain is biggest at SMEs. A process that costs five to ten hours a week today is often already worth automating. You need no IT department for it, because we build, monitor and maintain the system.

Read next

Ready to start?

Which task do you never want to do by hand again?

Tell us which work comes back every day or every week. Within 24 hours you get a concrete first scope and a price indication.

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