AI & Automation
AI that makes data easier to handle.
AI built into a product, or built into the systems you already use. We start with one step in your workflow — not a whole AI project.
- AI in the product
- Search your own data
- Automated flows
- Human review
Start with one step, not the whole business
Most AI projects are too big. We do the opposite: we find one task that costs time every week — data entry, digging through documents, putting together reports — and build that away.
We've done it both ways. In SwiftKeepers the AI sits inside the product and reads receipts in seconds. At Oberoende Nyheter, AI is a production tool inside the platform, always with human review before anything is published.
What we can build
Automations and AI features that take care of the repetitive work and give you time back.
Reading documents & images
Receipts, invoices and paperwork are read automatically, with the fields filled in for the user.
Search your own data
Ask a question in plain language and get an answer out of your own documents and records.
Summaries & reports
Material that's otherwise compiled by hand is produced automatically.
Automated flows
Manual steps that always look the same are removed entirely.
AI inside the product
AI as a feature the user actually notices, not a separate tool on the side.
Human review
A person checks and approves. We build for traceability, not for guesses.
How it works
Find the step
We look for the task that costs the most time and is easiest to scope.
Prototype on your data
We test on real material, so you see the accuracy before you decide.
Build it in
The AI goes where the work already happens — no new tool to learn.
Measure and adjust
We follow the results and improve as usage grows.
How we've done it
Two different ways of using AI: as a feature inside a product, and as a production tool inside a platform.
What does it cost?
A scoped AI step is often smaller than people expect. Larger integrations land in Enterprise, where ongoing development and custom operations are included. We always start by looking at which step pays back the most.
Q & A
Common questions
Not finding your answer here? Ask us — we usually reply the same day.
Or send a message and we'll help you out.
- Fast repliesUsually the same day
- Personal supportStraight from us
- We careYour success matters
Do we have to switch systems?
No. The whole point is to build the AI into what you already use, so nobody has to learn a new tool.
How do we know the answers are right?
We build with human review as the default: the AI suggests, a person approves. And we show where the information came from.
How much data do we need?
Less than people think, as long as the step is scoped. We test on your real material in the prototype before anything is built for real.
Where does our data end up?
We pick the setup based on how sensitive the data is, and write down what gets sent on and what stays with you. If nothing should leave your own systems, we build for that.
Do we need an AI strategy first?
No. We start with a single step in a workflow that eats time today, check whether it actually got better and build from there. You rarely need a whole AI project to get going.