ai-process-assessment:building-business-case

To build a ROM business case for AI automation, aggregate validated cost, value, and baseline data from previous discovery phases into a structured estimate. This ensures every financial figure remains traceable to source artifacts for decision-makers.

A Wave 1 ROM business case is a structured, high-confidence investment estimate for AI initiatives. It applies AACE Class 5 cost and value ranges to validated opportunities, preventing the common error of applying financial modeling to directional Wave 2 or strategic Wave 3 work.

You calculate aggregate AI automation costs from evidence by using a deterministic math engine to compute figures from structured JSON inputs. This eliminates manual arithmetic and enforces an evidence-gated methodology that prevents false precision and unverified value claims.

Yes, the business case methodology requires structured JSON inputs containing previously validated cost, value, and baseline data. These inputs are processed by a deterministic math engine to generate an AACE Class 5 cost and value range estimate for your engagement.

You should not use ROM estimation for directional Wave 2 or strategic Wave 3 AI discovery work. This methodology is specifically structured for high-confidence Wave 1 initiatives to prevent applying financial modeling to unvalidated opportunities.

Your AI business case needs traceability to source artifacts to eliminate guesswork and prevent unverified value claims. Enforcing an evidence-gated methodology ensures decision-makers receive a defensible investment case with deterministic figures rather than false precision.