How we work
Choose how you work with us.
Four ways to engage, one way of delivering: clear milestones, transparent progress and AI that reaches production.
Outcome-based project
A defined scope, delivered end to end by our team against agreed milestones, with a clean handover at the end.
How it works
- We agree scope, success measures and milestones together
- Our team designs, builds and tests the solution
- You review and accept each milestone
- We hand over code, documentation and training
Suited to a clear business problem that needs a working solution.
Managed AI service
We operate your AI after launch: monitoring quality and cost, retraining models, upgrading agents and keeping them secure.
How it works
- Monitoring of quality, latency and cost
- Retraining and model upgrades as technology moves
- Security updates and incident response
- Monthly reporting and an improvement backlog
Suited to AI systems that are live and need to stay reliable.
Advisory retainer
A senior Milstra expert who guides your AI strategy, architecture and vendor choices on a continuing basis.
How it works
- A named senior expert who knows your context
- Regular steering sessions with your leadership
- Architecture, vendor and investment reviews
- Support with AI policy, governance and hiring
Suited to leadership steering a wider AI programme.
Hourly consulting
Our experts engaged by the hour for advice, technical reviews or hands-on work alongside your team.
How it works
- Flexible scope, booked when you need it
- Technical reviews and second opinions
- Hands-on help at critical stages of your own build
- Workshops and team training
Suited to focused questions, reviews and short assignments.
Our delivery process
Four milestones from requirement to production.
Milestone 1
Discover
We clarify the requirement, the data and the measure of success, and agree scope and price.
Outcome: Problem statement, success measures, data assessment and plan.
Milestone 2
Prove value
A working prototype on your real data, evaluated against the success measure before you commit further.
Outcome: Prototype, evaluation results and a clear go or no-go decision.
Milestone 3
Build & ship
Production-grade engineering: security, integrations, testing and rollout to real users.
Outcome: A production system, integrated, tested and in use.
Milestone 4
Run & improve
Hand over to your team, or let us operate and improve it as a managed service.
Outcome: Monitoring, support and a roadmap for what comes next.
Our standards
How we deliver.
One accountable team
The experts who scope your project are the ones who build it.
Transparent progress
A working demo at every milestone, so you always see where things stand.
Security by default
Access control, logging and data protection are designed in from the first day.
Knowledge transfer
Documentation and training so your team can own and extend what we build.
FAQ
Common questions.
How quickly can we start?
We aim to start discovery within a couple of weeks of a first call, depending on scope and availability.
Do you work on-site or remotely?
Both. We are based in Stockholm and work with clients across Europe, on-site when it matters and remotely the rest of the time.
Which models and clouds do you work with?
We are vendor-neutral. We work with commercial models from providers such as OpenAI, Anthropic and Google, open-weight models such as Llama, Mistral and Gemma, and all major clouds.
How do you handle our data?
We sign NDAs and data processing agreements, can work inside your own environment and can keep all processing within the EU.
We’re not sure AI is the right answer. Can you help?
Yes. That is exactly what discovery is for. Sometimes the best answer is simpler automation, and we will tell you so.
Who owns what you build?
Ownership and IP terms are agreed in the contract before work starts, so you know exactly what you receive.
Let’s talk about your next milestone.
Send us the problem you want solved. A short description is enough. We’ll come back with how we’d approach it and the best way to deliver it.