Generic AI Writes Quickly. Approval Still Stalls.

It is now straightforward to produce a fluent business case draft in minutes. General-purpose AI tools generate clean prose, organise sections, and fill in plausible-sounding analysis on demand. For teams under pressure, the appeal is obvious. The difficulty is that fluency and defensibility are not the same thing, and reviewers are evaluating the second.

A generic model does not know the Five Case Model. It does not understand how Green Book guidance treats distributional impacts, place-based analysis or proportional appraisal. It will produce text that reads as if it does, which is in some ways the more dangerous outcome. The draft looks finished. The structural problems only surface when scrutiny begins, and at that point the rework is substantial.

Speed of writing is rarely the bottleneck in business case approval. The bottleneck is the gap between what was written and what the framework actually requires. Closing that gap manually, after the fact, often takes longer than drafting from scratch with the right structure in the first place.

The more useful application of AI in this domain is not faster prose but embedded methodology. Business Case Guru is built around the Five Case Model and current Green Book expectations, so the structure of the case is correct from the outset. Reviewers approve reasoning, not language, and a draft that begins with sound reasoning is the one that moves through approval without stalling.