  There is a struggle in Artificial intelligence (AI) ethics to gain ground in
actionable methods and models to be utilized by practitioners while developing
and implementing ethically sound AI systems. AI ethics is a vague concept
without a consensus of definition or theoretical grounding and bearing little
connection to practice. Practice involving primarily technical tasks like
software development is not aptly equipped to process and decide upon ethical
considerations. Efforts to create tools and guidelines to help people working
with AI development have been concentrating almost solely on the technical
aspects of AI. A few exceptions do apply, such as the ECCOLA method for
creating ethically aligned AI -systems. ECCOLA has proven results in terms of
increased ethical considerations in AI systems development. Yet, it is a novel
innovation, and room for development still exists. This study aims to extend
ECCOLA with a deployment model to drive the adoption of ECCOLA, as any method,
no matter how good, is of no value without adoption and use. The model includes
simple metrics to facilitate the communication of ethical gaps or outcomes of
ethical AI development. It offers the opportunity to assess any AI system at
any given lifecycle phase, e.g., opening possibilities like analyzing the
ethicality of an AI system under acquisition.
