AI agents
Agents that do bounded tasks — with approval and logging.
AI adoption
Do you know where AI actually belongs in your business?
Many businesses know they should use AI — not where, or how to do it safely. We map where it fits, what is worth automating, and build in control from day one. Start by asking the agent below.
How we do it
Not a report that gathers dust. A bounded assessment, then prototyping together, then operations with control.
01
Map
We map processes, data sources and risk before anything is built.
02
Prioritize
We rank initiatives by impact and feasibility — not by hype.
03
Prototype
We build a working prototype on real data, not a slide deck.
04
Operate & control
We put the system into operation with audit trails and a monitoring interface.
What we can build for you
Frontier-model capability, Norwegian-residency control.
Automation
Remove double work. "Invoice sent, nobody touched it."
Integration
Connect your systems, and open Norwegian data sources.
Dashboards & querying
Structure data from varied sources and formats, and ask in natural language.
Frontier models
Frontier models via Azure AI Foundry, with the region agreed per delivery.
Data sovereignty
Data in Norway, audit trails and a verification step on what we deliver.
Real Norwegian data, from the first meeting
We connect open public sources — Brønnøysund, SSB, A-meldingen, Norges Bank — and prototype together with you on your own data. Try a taster now:
Look up your companyWe connect to open Norwegian data sources through their public APIs.
Try it · agentic
Ask an AI agent where to begin
Tell it briefly about your business. The agent answers only from what we actually offer — and leads you to a free assessment call.
Talk to Echo
Tell me briefly about your business and I’ll show where AI could fit.
Echo, AI agent: Hi! I'm Echo — an AI agent. Tell me briefly about your business and I'll show you where AI could fit.
You are talking to an AI agent. Answers are based on documented knowledge.
Adoption assessment
A bounded assessment of where AI fits in your operations — with control and data residency built in. The price is agreed before we start, and the assessment leads into build, verification or operations.
- Mapping of your current workflow
- Prioritized roadmap: safe × value
- Prototype with your own data
- Control and residency from day one
Frequently asked questions
We use almost no AI today — is this for us?
Yes. That makes the starting point simple: we begin by mapping your day-to-day operations and look at where AI can save time, not where it looks impressive.
What do we get from an adoption assessment?
A prioritized roadmap: what is safe to automate first, what needs guardrails, and what should not be AI at all — with a priced proposal for the next step we agree on.
How do you keep the AI safe and consistent?
Control is built in from the start: audit trails, approval where needed, and a verification step that checks output before it is published. That is the core of what we do.
Where is the data stored?
We deliver on Azure with data in Norway (Azure Norway East) when the delivery requires it. Which models can run in the same region is agreed per delivery. See /datalagring for the full data map, including anything that leaves the EEA.
Can we prototype something in the meeting itself?
Usually yes. We connect open Norwegian data sources (Brønnøysund, SSB and others) and visualise the automation together with you. Try the taster at /verktoy.
Does this fit both small businesses and enterprises?
Yes. Same method, different depth — from one bounded process in a small business to governed rollout across an enterprise.