Process Automation
We map how work actually flows, then let AI carry the repetitive parts end to end.
Talk it throughSwedish AI Engineering
AI, built into how your business runs.
We bring AI into the processes companies already run — the handoffs, the approvals, the work that eats the week. From a narrow pilot to something your team relies on daily. And we build our own products along the way.
What we do
Four ways AI ends up doing real work inside a company.
AI Integration
Models wired into the systems you already run — CRM, ERP, support desks, internal tools.
Talk it throughCustom AI Systems
Assistants, agents, and data pipelines built for your domain, your data, and your rules.
Talk it throughEvaluation & Monitoring
Baselines, evals, and dashboards, so you can tell whether the system is doing its job.
Talk it throughHow an engagement runs
Four stages. The last one is ongoing — AI in production needs tending.
1
Discover
We map the process and find where AI actually pays off.
2
Pilot
A narrow, measurable trial on real data. Weeks, not quarters.
3
Integrate
It moves into your systems, with access rules and an audit trail.
4
Operate
We monitor and improve it while it runs. This part does not end.
AI in practice
Most AI never leaves the demo.
The gap is rarely the model. It is the handoffs, the approvals, the copy-paste between systems that nobody owns. We start from the process, put AI exactly where it removes friction, and then keep it running — measured, permissioned, and boring in the way production should be.
Support & Service
Assistants that resolve real requests from your own knowledge, not generic answers.
Back Office
Documents, invoices, onboarding, reporting — handled end to end, with a human at the exceptions.
Engineering
Review, testing, and delivery pipelines that move faster with AI in the loop.
Decisions
Signals and summaries from data you already hold, delivered where the team already works.
Our own products
Alongside client work, we build and operate our own software.
Born from real work
Our products start as something we needed ourselves while solving a client's process.
We run them first
Everything we build is used inside the company before it goes anywhere else.
It flows both ways
What we learn building products goes back into client work, and the other way around.
Current products are still in development — we would rather show you one that works than a page of names.
How we think about AI
Four rules we hold to, including when they cost us the bigger project.
Start where it hurts
We look for the process that costs the most time, not the one that demos best.
Measure it
A baseline before, an evaluation after. If it does not move a number, it does not ship.
Your data stays yours
Clear boundaries on what a model sees, where it runs, and who is allowed to ask.
Small, then scaled
One workflow in production beats a platform in planning. We earn the next step.