So, what are we looking for in the future?
To ensure value dossiers are fit-for-purpose, it is critical they include evidence-based content that is written in a compelling manner to best communicate the value of a product, and this is ultimately where the content generated by current AI tools fell down. We are already seeing, and exploring the potential of, more advanced tools that are trained on certain writing styles as well as being able to substantiate claims with robust, publishable references. Such advancements would certainly enhance how we could work with these tools to support value-based content development in the future.
Furthermore, in order to maximise the functionality of tools and continue seeking out new use cases there is a need for a shift in the current restrictions that are in place related to the processing of confidential data and general data security. Developers need to build users’ trust in their tools’ handling of commercially sensitive data within the business sector, so that users can get the best out of these tools.
Through this project we have understood when and how to use current GenAI tools, such as ChatGPT 4.0, in the development of value dossiers as well as identifying areas where we don’t feel these tools are quite ready yet. The release of GPT5.0, expected later this year, will no doubt show us the general direction of travel regarding how these tools are advancing. Whilst the utilisation of AI here did not necessarily create efficiencies or resource savings, it did contribute to learnings around how we would want to optimise AI tools to feed into future projects. Moving forwards we will be continuing to use GenAI where we can as well as exploring how newer bespoke tools could further support our work in the future.