Services
Two clear AI tracks: a light learning path for your team, and a project path for when you want AI built into your systems. We also deliver adjacent services with AI under the hood — web, marketing, social media, and courses. Fixed prices, defined deliverables, honest advice.
Track A — Light path
Learn AI in your day-to-day
Build the people. A workshop and follow-up that turns AI into a habit, plus an ongoing rhythm to keep it that way.
- 1AI in Practice
Half-day workshop + 30 days of support
- 2
Follow-up meeting
after ~1 month — define next steps
- 3AI Momentum
Quarterly rhythm, one year at a time
01
AI in Practice
Capability building with change support
More than a generic AI course — we work with your actual workflows to create lasting change.
- ▸Preparation meeting: we map your needs, workflows, and participants
- ▸Half-day workshop around four principles: Responsible, Right, Effective, Lasting
- ▸30 days of support with an individual action list and user guide
- ▸Follow-up meeting after ~1 month to define next steps
Right for teams that want to bring everyone into AI in a safe, practical, lasting way — without a big project.
Do the math yourself
How many minutes per employee per day do you need to save before AI in Practice (from NOK 20,000) has paid for itself within one month? Adjust the numbers to your reality.
You need to save ~9.5 min per employee per day — for one month — for the workshop to have paid for itself.
For comparison: the goal in AI in Practice is ~30 minutes saved per day.
The math is yours — you control the numbers, and the result is not a promise from us.
02
AI Momentum
Keeps capability in motion
For teams who've completed AI in Practice and want to make sure the learning doesn't fade after the initial enthusiasm.
- ▸4 quarterly workshops per year — new topics, deeper usage, and updates
- ▸Ongoing support between sessions — a quick path to help when something gets stuck
- ▸Focus on actual use — we track what's stuck and what needs a new push
Right for teams that want to keep momentum after AI in Practice, and make sure AI doesn't become something you 'tried for a while'.
Track B — Project path
AI built for you
Build the thing. Three fixed-scope steps from quick audit to AI integrated across your systems.
- 1Audit
1–2 weeks · from €2 100
- 2Pilot
4–8 weeks · from €5 000
- 3Orchestration
4–8 weeks build + ongoing operations · from €7 500 + €1 250/month operations
03
Audit
A structured walk-through of your processes to identify where AI delivers the highest leverage — and where it doesn't.
- ▸Process map of candidate workflows
- ▸Ranked list of AI opportunities with estimated ROI
- ▸Recommended pilot case with success criteria
- ▸Privacy and risk assessment per case
Right for you if you believe AI can help but don't know where to start or what would actually move the numbers.
04
Pilot
One focused use case, built, measured, and delivered as decision-grade evidence for scaling.
- ▸Working AI solution for one bounded use case
- ▸Before/after measurements on time, quality, and cost
- ▸Documented architecture and data flow
- ▸Go/no-go recommendation for production rollout
Right when you've identified one use case and need evidence before you commit more budget.
05
Orchestration
AI integrated into the systems you already run — CRM, accounting, documents — via n8n and direct API integrations.
- ▸Production workflows across your tools
- ▸n8n setup (cloud or self-hosted, per your requirements)
- ▸Observability, logging, and alerting on failures
- ▸Handover and training — ongoing operations covered by the monthly retainer
Right when the pilot has proven out and you want AI wired into where work actually happens.
AI solutions in practice
Common patterns we deliver — use them as anchors to see where AI actually creates value for you.
Meeting assistant
Recordings, summaries, and tasks out of meetings, automatically.
See how it worksMeeting minutes get written manually — or not at all.
Before
Meeting → hurried notes → cleanup afterwards → tasks get forgotten
After
Meeting → transcript → summary with decisions → tasks straight into CRM or task list
Typical systems: Teams/Meet, transcription, n8n, CRM, task tools
Privacy: Recordings and transcripts contain personal data. We set up consent, storage location, and deletion routines from day one.
Email assistant
Inbox triage, draft replies, categorization.
See how it worksThe inbox runs the day — important requests drown.
Before
Everything lands in one inbox → manual sorting → every reply written from scratch
After
Incoming email → automatic categorization → draft replies ready for review
Typical systems: Outlook/Gmail, n8n, CRM
Privacy: Email can contain sensitive information. We limit what data the AI can access, and document the data flow.
Knowledge base with AI search
Your documents become searchable in natural language (RAG).
See how it worksThe knowledge exists — spread across a hundred documents nobody can find.
Before
Digging through folders and old emails → asking the colleague who “knows”
After
Ask in natural language → answers with source references to your own documents
Typical systems: SharePoint/Drive, vector database, n8n
Privacy: Access control comes with it: the AI search must not show employees documents they can't already access.
Document automation
Generate contracts, proposals, and reports from templates.
See how it worksProposals, contracts, and reports get written from scratch every time.
Before
Copy the previous document → hunt for fields to swap → hope everything got updated
After
Structured input → document generated on your template → ready for review and signing
Typical systems: Word/Docs templates, CRM and accounting data, n8n
Privacy: Customer and contract data is processed under a data processing agreement, and generated documents are always reviewed by a human before they go out.
Data insights in natural language
Query spreadsheets and databases without code.
See how it worksThe numbers exist in spreadsheets and systems — but insight requires someone who “knows Excel”.
Before
Export → manual pivoting → a report that's outdated next week
After
Ask “how are we tracking against budget?” → answers with numbers and charts from fresh data
Typical systems: Spreadsheets, accounting and CRM data, database
Privacy: Read access is limited to what's needed — the AI gets to ask, not change.
Customer dialog
Chatbot or voice on your site, connected to real knowledge about your business.
See how it worksThe same questions get answered manually, again and again — outside office hours too.
Before
Inquiry → waiting for a reply → someone types the same answer as last time
After
A chatbot answers from your actual knowledge base → humans take the hard cases
Typical systems: Website, knowledge base (RAG), n8n
Privacy: Clearly labeled as AI, with firm limits on what it answers and what is stored from the conversation.
You're looking at a live example right now: Minni, bottom right on this page, is built on this pattern.
Your situation may differ — we work with the patterns that actually fit you.
Other services
Most of what we deliver outside the two tracks above is AI-powered under the hood. Less time on rote work, more on what actually moves the needle.
Websites and apps with AI tooling
Built with the modern AI stack — faster from idea to delivery, and easier to maintain after handover.
AI-driven marketing
Ad copy, audiences, and automation where AI takes the manual edge off. We measure outcomes, not activity.
Social media with AI as the engine
Content, scheduling, and analytics — powered by AI, owned by you. No lock-in on us.
AI safety courses
Practical courses for your staff: what's safe, what isn't, and how to use AI without putting the business at risk.
Typically delivered as smaller, scoped engagements — often alongside an ongoing AI track.
Not sure where to start?
Book a no-obligation 30-minute call. We'll help you find the right track — and tell you honestly if AI isn't the answer.