Daniel supports projects where regulated requirements, technical decisions, and coordination between business, IT, and quality need to come together in a reliable way.
His focus is on structures that genuinely help teams day to day: clear ownership, understandable documentation, thoughtful prioritization, and a calm approach to complexity.
In AI work, Daniel also stays deliberately practical. He helps turn ideas into sensible use cases, realistic roadmaps, and implementations that fit the actual organization.