Thoughts, articles, and resources on software development, SaaS, and digital growth.
Pipeline and workflow are used interchangeably in research operations. They describe different things, and conflating them produces systems that are fragile in predictable ways. Here is what the distinction means in practice and why it matters for research reliability.
AI can process transcripts, surface patterns, and generate summaries faster than any researcher working alone. What it cannot do is accumulate the kind of knowledge that comes from running fifty projects inside the same organisation, understanding why the last set of findings was ignored, and knowing which stakeholder will kill a recommendation before it reaches the room. That knowledge is not a soft skill. It is the thing the work depends on.