Services · All services
All
services
We help software companies decide on AI, put it in production and keep it running, with senior engineers in your team. Pick a starting point below.
Contact us Pick what fits, or combine them.
01 / 03
AI strategy
and delivery
Ways in and core builds
- Full AI audit: One to two weeks, a written decision: build, fine-tune, or stop. →
- AI production sprint: One search-and-answer system or agent in production in four to six weeks, with evaluations. →
- AI coding rollout: A shared, checked setup for coding agents in your repositories. →
Related reading
- AI pilot to production: a practical playbook for Nordic product teams
- Agent readiness before you scale AI
- AI governance is now an engineering backlog
02 / 03
AI models
and operations
Models and care after launch
- Private fine-tuned models: An open model tuned on your own data, run where your data must stay, and only if the evaluation says the hosted model falls short. →
- Managed AI operations: A monthly agreement: we own your live AI system and keep its evaluations green. →
Related reading
- Evaluating agents before they touch production
- Agent harnesses: how we build the runtime around a language model
03 / 03
Engineering
teams
People and platforms
- Engineers in your team: A senior engineer in your team for the AI feature and the product around it. →
- Platform partnership: We take over the platform nobody owns, then add AI step by step. →
Related reading
Engineering teams ↗The path
From first audit
to AI that keeps running.
Start where it fits: a way in, a core build, or care after launch.
One system
Tell us what should be in production.
A workflow, a live AI system that nobody owns, or an engineering team without a shared way to use coding agents. We say which package fits.
Ready to talk?
Let's talk about
what you're building
Or reach us directly at hello@aidoni.se
