Every business loses hours each week to work nobody consciously chose: retyping data, forwarding emails, updating lists and checking whether something actually happened. We map that work, measure what it costs and automate it in the right order. First with fixed rules and integrations, then with AI where it genuinely adds something, and always with a human in the loop where it matters.
Manual work creeps in. A new package here, an exception there, and before you know it a colleague spends a day a week on work a system could do in seconds.
Process automation means handing recurring actions in a business process over to software, so that staff only do the steps that genuinely need a person. That can be done with fixed rules and integrations between systems, with an AI step that assesses or summarizes under human review, or with agents that carry out multiple steps independently within agreed limits.
An order from email into the ERP, a customer from the CRM into accounting. Every time again, with a chance of a typo every time.
Requests, invoices and questions arrive in a shared inbox. Someone reads, sorts and forwards, all day long.
Was the invoice sent, was the quote followed up, was the contract signed? Checking takes almost as much time as the work itself.
Every month pasting figures from three systems into a spreadsheet, formatting and sending them round. And when someone has a question, it starts all over again.
We work in three levels. Not because the highest level is the goal, but because each level builds on the one below. The biggest gains are usually right at the bottom.
If this, then that. An order appears in the planning, an overdue invoice gets a reminder. No AI model needed, yet often the quickest win.
AI classifies an email, extracts data from a PDF or prepares a draft reply. A colleague checks and approves before it moves on.
Once level 2 demonstrably works well, an agent carries out several steps in a row, with every action logged and clear boundaries.
Before and after each automation we measure what the process costs. So you know what it delivers, and you also see it when something doesn't have the expected effect.
In almost every SME, incoming email is the process with the most manual hours. This is what it looks like when levels 1, 2 and 3 work together.
By email, form or portal, in free text and sometimes with an attachment.
Determines the type of request, extracts the data and finds the customer and the file.
Sees the proposal with all the context and confirms, adjusts or takes over.
Updates the system, sends the confirmation, creates a task and logs every action.
Read from the mailbox, recognized and prepared in the accounting system, with the receipt attached.
A quote from standard building blocks, and a reminder if nothing has happened after a week.
Email, meetings and call notes automatically attached to the right customer in the CRM.
Figures from several systems, updated automatically every week in a dashboard or email.
The temptation is to start with whatever sparks the imagination most. We start with whatever takes the most time. That way the first automation delivers something straight away.
We discuss where the manual work is, which systems are in place and what frustrates your colleagues. Often a single conversation makes clear which two or three processes are candidates.
For one week the colleagues involved track how much time a process takes. That measured picture often differs considerably from gut feeling, and prevents you from tackling the wrong process first.
We start with what can be done without AI: connecting systems, removing double entry and automating fixed rules. In most businesses this delivers the biggest and quickest gains.
Where an assessment is needed, AI prepares a proposal and a colleague approves it. We measure how often the proposal is right, and only once that is stable do we move on.
An agent may carry out several steps itself, within limits agreed in advance and with every action logged. Exceptions always go to a person.
An automation nobody understands is a new risk. That is why we build everything so you can see what happens, step in and switch it off.
Whatever happens automatically is recorded in a log: when, why and with what result. So you can always look back at what was done.
Payments, customer communication with consequences and exceptions go past a colleague. What may happen automatically is agreed in advance.
The automations run on a data layer under your own control, hosted in the EU. Which data an AI model may see is something we decide together up front.
You get a list of all automations, with what they do and who manages them. Nothing runs unseen in the background.
How to recognize which work to automate first is explained in automating repetitive tasks: which first?. The three levels are worked out in detail in automating business processes with AI. If you need a piece of software that doesn't exist yet, we build it with software development on the same foundation, the AI Native Data Layer.
Mainly processes that occur often, run largely predictably and where the information needed is already available digitally somewhere. Think of incoming email and requests, purchase invoices, quotes and follow-up, updating customer data and reports. Processes that rarely occur or where a mistake has major consequences are not the ones we tackle first.
Often not, at least not first. In most businesses the biggest gains are in fixed rules and integrations between systems. We add AI where an assessment is needed, such as recognising an email or reading a document.
No. We connect the systems you already have, such as your accounting, CRM, ERP and mailbox. Only if a system really gets in the way do we discuss an alternative.
That is why we work in levels. At level 2 a colleague approves every proposal, and only once the error rate is demonstrably small may an agent act on its own. Every action is logged and exceptions always go to a person.
We measure how much time a process takes beforehand, and measure again after the automation. So you see what it delivers in hours, and you also see it when an automation does less than expected.
No. Level 1 works entirely without an AI model. Where AI does look at content, we decide together up front which data it may see. The data itself stays in your own data layer, hosted in the EU.
The intro call is free of obligation. After that you receive a proposal per process with a fixed price, based on the measurement week. So you know up front what an automation costs and what it is expected to deliver.
In the intro call we discuss where the manual work is and which processes are candidates. You get an honest view of what automation delivers, and of what you are better off keeping manual.
Leave your details and we will contact you within one working day to schedule a time.
We only use your details to contact you about the intro call. No newsletter, no spam.
Thank you for your request. You will hear from us within one working day to schedule the intro call.
See our other services