Process automation
We identify repetitive, time-consuming tasks that can be handed over to automated solutions.
Service · Automation
AI automation
We help you choose, configure and adopt AI-powered tools and automation that simplify your business processes and save time.
- Process mapping with the people who do the work
- Built on existing system integrations
- Exceptions handled by people, not the system
The problem
The problem AI automation solves
Every company has work done by hand only because nobody ever redesigned it. Copying data between systems, writing repetitive emails, entering invoice and order details, assembling the weekly report from one spreadsheet into another.
This work is not difficult, but it consumes time and creates errors, especially when done in a hurry by someone whose actual role is something else.
Automation hands those steps to a system and leaves the exceptions to people.
If your plan is broader AI adoption, see also AI implementation.
Where automation applies
Six ways we take manual work off your team's plate
AI implementation
We select and deploy practical AI solutions suited to your company size and needs.
Data analysis and decision support
We organize data into a clear form so management has a faster overview and a better basis for decisions.
Workflow optimization
We connect different systems and tools so information flows smoothly and manual handovers are reduced.
Document and text processing
We use AI to process contracts, reports and other unstructured information faster.
User support and knowledge bases
We set up intelligent assistants that help your team and clients find information faster.
How we work
We automate only once the process is clear
Automating a messy process just speeds up the mess.
- 01Map the workflowDescribing the workflow step by step with the people who actually do the work.
- 02Select candidatesHigh-volume, repetitive work with clear rules goes first.
- 03BuildUsing existing system integrations and, where useful, AI for text or document processing.
- 04Handle exceptionsAgreeing what happens when data is missing or does not match the pattern.
- 05Test and switch overTesting on real data and switching over gradually, keeping the old way as a fallback until results are confirmed.
What you get
Less manual work, a clearer view of where work gets stuck
- An automated workflow with documentation of how it works and who can change it.
- Connections between systems that remove repeated copying.
- Reporting that produces itself and stays current.
- A list of exceptions and an agreement on who handles them.
- A trained team able to use the solution and fix simple issues themselves.
Fit
Who it suits
Companies where several systems do not talk to each other and people fill the gap by hand. Also those whose workload is growing without wanting to grow the team at the same pace.
It fits finance, sales support and customer service workflows particularly well, where actions repeat and rules can be described.
If disorganised systems or unclear access rights are blocking automation, order comes first: see IT management and IT consulting.
Questions
Frequently asked
What is the difference between AI automation and AI implementation.
Automation focuses on handing existing repetitive work to a system; implementation means adopting AI more broadly, including new capabilities. In practice they overlap: automation is often the first and fastest-paying step.
Which processes are worth automating first.
The best candidates are high-volume, repetitive tasks with clear rules. For example moving data between systems, reading information off documents, sending standard notifications and producing recurring reports.
Does automation require replacing our systems.
Usually not. We build connections on top of existing systems where they offer an API or another integration path. We recommend replacement only when the current system obstructs the work even without automation.
Who maintains the automated workflow afterwards.
That is agreed before building. The workflow is documented so your team can make simple changes, and if you wish we stay on as the maintenance partner for larger changes and failures.
How much volume is needed for automation to pay off.
The rule is simple: if the work happens weekly and takes a meaningful share of someone's time, it is worth reviewing. Before building we estimate the time cost and expected result together with you, so the decision is not based on a guess.
First step
Name one repetitive task your team does every week
That is enough for us to tell you whether it is worth automating and what the result would look like.
Send an enquiry