3 Implementing GenAI tools

Training on appropriate prompt techniques for the specific tools your organisation is implementing is a vital initial step before widely implementing GenAI. This will help your organisation to effectively generate outputs that are precise and most relevant for the required tasks (Saifan, 2024).

GenAI literacy is an essential element of any implementation process. Training should include aspects such as risks and limitations (Saifan, 2024) of GenAI tools (including copyright, hallucinations, data use, data protection, quality and reliability of GenAI outputs, prompt engineering) and should explicitly address the areas listed within a GenAI policy (this is covered further in Session 3 of this course).

It is essential to continually monitor the performance and impact of GenAI tools to evaluate their effectiveness and identify any necessary adjustments. Maintaining transparency throughout the use of GenAI is equally important. This includes documenting how and when GenAI is applied, as well as clearly disclosing when content has been generated by AI.

According to guidance from the University of Saskatchewan, best practices for transparency include explicitly citing the use of GenAI tools, specifying details such as the software name, version, and the date on which the output was generated (Moss, 2025).

If you want to explore further the practical considerations of adopting GenAI tools, we recommend the third course – Key Considerations for successful Generative AI adoption.