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It depends on where you are. If you have a clear problem, an AI project is usually right. If your teams build software and need more speed, spec-driven development fits. If you build many applications, a software factory may be the next step. The AI discovery is where we work this out together.

A 30-minute conversation, online or in Stockholm, about where you are with data and AI and which approach fits. No roadmap you did not ask for, and if we are not the right fit, we will say so.

A way of building software where intent is written down precisely, reviewed and versioned before anything is built. AI agents build to that specification, and the result is checked against it, so your engineers ship faster with quality held constant.

A governed environment where AI agents build, test and document software continuously, under your engineers' direction. It covers the data foundation, delivery pipeline, quality checks, human approval points and ownership model, which is what makes agentic development safe to run.

An AI project typically runs from a few weeks to a few months. Spec-driven development and software factories are longer engagements, delivered in stages, with value measured against a baseline before each go decision.

We work in regulated, mission-critical environments: on-prem and sovereign where needed, GDPR-compliant, and aligned with the EU AI Act. Every change is checked and traceable, so you can explain what the system does and why.

No. For AI projects, we handle the technical side and hand over a working system. For spec-driven development and software factories, we bring the method into your teams, so the capability stays with you.