» With AI, shipping a product is not ‘done’, it’s the start of testing whether its behaviour is acceptable

» Staff-facing products are about tasks, decisions and protection

» Operating models are shifting because of AI; during the transition communication and collaboration need to change

» Product-market fit is more elusive than ever in a dynamic market

» In deep-tech companies, it’s unrealistic to compete with your team on technical knowledge

» ‘Financial theatre’ occurs when the Board and product leadership aren’t communicating effectively

» There is room for both concrete and abstract thinking

» AI may help you ship faster, but validating what you shipped still takes time

» In large complex organisations, transparent, written communication helps to avoid misinterpretation

» A strategy is just a wishlist if you never actually follow through on a decision

» There may be multiple ‘truths’ about the work depending on how different people frame it

» Different groups of people will adopt strategy in stages, and have differing information needs

» Fostering collaboration is the necessary first step for an organisation to work with more agility

» A prototype expresses a product concept far better and quicker than a product requirements document (PRD)

» People good at doing a thing themselves are not always good at building a system to do it

» Work is craft: theoretical knowledge and practical experience combined