Why can't I just use an AI chatbot or LLM to build a business case?

A general-purpose AI tool can write a business case narrative, but it doesn't carry the structure or the checks that make the numbers trustworthy. A few reasons the two aren't the same:

• The calculations aren't verified. ValueHub's NPV, IRR, and Payback figures come from a fixed, tested calculation engine. Ask an LLM to do the same maths and it can make arithmetic errors, apply the wrong formula, or produce different numbers if you ask the same question twice.
• The benefit library is built for this purpose. ValueHub's 200+ cross industry benefit calculators are pre-built around real, defensible value drivers. An LLM has no equivalent library, it generates a plausible-sounding benefit from scratch each time, with no guarantee it reflects how that benefit actually behaves in the real world.
• There's no consistency across users or deals. Every ValueHub session works from the same underlying model, so two people building a case for similar customers get comparable, defensible results. Two people prompting an LLM will get two different answers, based on how they phrased the question.
• Customer data stays contained. ValueHub keeps each business case in its own environment. Pasting customer financials into a general AI tool raises data privacy and confidentiality questions that most sales and procurement teams aren't willing to accept.
• There's no audit trail. ValueHub keeps a version history of every session, so you can see how a business case evolved and revisit it later. A chat conversation with an LLM isn't built to be revisited, restored, or compared against a later version.
• Outputs aren't built for the sales process. ValueHub generates docx, pptx, and xlsx outputs in your corporate template, ready to send to a customer. An LLM gives you text in a chat window, which still needs to be manually formatted, checked, and rebuilt into a presentable document.
• Buyer engagement is more difficult. One of the most critical elements of crafting a persuasive business case involves the buyer and seller working together to input and test the numbers. This experience is often inconsistent or impossible when utilizing an LLM prompt directly and is considerably less professional.

In short, an LLM can help you talk about value. ValueHub is built to prove it, with numbers a customer's finance team will actually accept.