Longer arguments, analysis and practical thinking.
Searching for AI use cases starts with the technology. A better approach is to find valuable work that causes problems, understand what is really happening, and use AI to help investigate before deciding what should change.
Read articleOnce you understand how work actually happens, do not simply allocate the existing tasks between people and technology. Redesign from the outcome, decide what work is genuinely necessary, and only then determine where people, conventional automation and AI belong.
Read articleThe documented process is only part of how work gets done. Employees often compensate for gaps through checking, chasing, correcting and judgement — activity managers need to understand before deciding what to improve or automate.
Read articleAutomation works best when it follows a clear understanding of how work really happens, including the judgement, exceptions and friction hidden by the formal process.
Read articleAs organisations begin delegating work to artificial agents, managing the technology is no longer enough. Someone still needs to manage the work, the authority given to the agent and the consequences of its actions.
Read articleAI can do more than perform existing work. It can help organisations examine how work actually happens before deciding what should be changed or automated.
Read articleA practical prompt for using generative AI to investigate how a piece of organisational work actually operates before deciding how it should be improved.
Read articleA first conversation is free, and usually enough to tell you whether there's a leverage point worth pulling.