Services

A proven three-phase approach to realize AI in healthcare.

1 Explore

Discovery

In 10 days we map out the opportunities and together choose the use case that can deliver value as quickly as possible.

  • Problem exploration with users and stakeholders
  • Selection and ranking of use cases
  • Feature roadmap with implementation plan
2 Build

Development

We guide the implementation toward a validated AI feature directly in your product.

  • Guidance on model choice, prompts, and infrastructure
  • Iterative development based on a validation dataset
  • Converting user feedback into improvements
3 Transfer

Operating

Build a repeatable process so your team can systematically develop new AI features.

  • Training employees in systematic AI development
  • Access to frameworks, checklists, and templates
  • Ongoing advisory for emerging questions

Training

For developers

One-day training for developers, product owners, and data teams who want to build their own AI features. Learn how to develop valuable AI functionality safely and measurably.

  • From idea to validated feature in 6 steps
  • Defining AI requirements
  • Testing and validation frameworks in practice
  • Documentation and traceability per the AI Act
  • Integration of model monitoring and feedback loops

For healthcare teams

For teams in healthcare who want to deploy AI within their workflows or systems.

  • AI Act and risk classification for healthcare applications
  • Assessment and validation framework
  • AI application governance
  • Setting up governance and AI review processes