Automation and AI

We list the tasks your team does by hand every week; we measure which of them can be safely automated, and keep human approval where it is needed.

Hand repetitivework to machines.

When businesses usually call us

  • Every day, your team copies the same data out of one system and types it into another by hand.
  • Most of the questions customer service receives are the same, and the answers are already in your documents.
  • The morning report takes someone an hour and is often not ready until the afternoon.

What we do

From a small integration to an in-house AI assistant.

How we work

Process first, tools second.

  1. Process inventory.

    Who does what, how often and in how many minutes; mapped out in one week.

  2. Pilot.

    The single most time-consuming process is automated in two weeks.

  3. Roll-out.

    The pilot is measured, and the approach that works is carried over to other processes.

  4. Maintenance.

    Error alerts, logs and a monthly review.

What you get

  • Process inventory
  • Working automations
  • AI assistant and knowledge base
  • Error alerting and logging system
  • User guide

Tools we use

  • n8n
  • Make
  • Zapier
  • OpenAI
  • DeepSeek
  • Airtable

We choose the tools to suit the work, and we are happy to work with your existing accounts and licences.

What our clients say

From the teams we work with, in their own words.

Questions

The questions we hear most about automation and AI. If yours is not here, write to us and we will answer within one working day.

How long does it take to automate business processes?

First we draw up a process inventory, noting how much time each task takes and whether it is suitable for automation. Then we run a 2-week pilot on one chosen process; if the pilot works, we extend it to the other processes and then take on the maintenance. The total time depends on how many processes are being automated and which systems need to be connected.

How much does an automation or AI project cost?

The cost depends on the number of systems to be connected and the API support they offer, how complex the workflows are, the volume of data to be processed and the scope of AI components such as an assistant. n8n, Make, Zapier or the AI models may also have their own subscription or usage fees; we discuss these openly at the proposal stage. We send a written proposal 2–3 days after the free first meeting.

What do we need to prepare for an automation project?

Access to the systems to be connected (such as your e-commerce platform, accounting, CRM and email) and a few short conversations with the person who runs the process today are enough. For a customer service assistant we also need the documents its answers will be based on: your frequently asked questions, returns policy and product information. On handover we write a user guide so that your own team can monitor the workflows too.

How do you measure whether automation is working?

We measure the process before the pilot: how long the task takes by hand, how often it is repeated and how many errors it produces. At the end of the pilot we take the same measurements again and put the decision on whether to continue in writing; we only roll it out further if the results are good. If a workflow fails, an alert comes through immediately, and the status of the running workflows is in the Monday report.

What happens if an AI customer service assistant gives a wrong answer?

The assistant is set up to answer only from your documents. When a question comes in that the documents do not answer, or the topic is sensitive, it hands the conversation over to someone on your team. Before it goes live we test it with real customer questions, and during the pilot we read the conversation logs and correct its answers. No assistant is free of mistakes, which is why handing over to a person is part of every setup.

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