According to CoinMeta, proxy automation software is appearing on the roadmap of the Center for Excellence in Artificial Intelligence ( AI CoE ), but traditional automated investment business case models fail to capture the full value created by proxies. This article introduces a framework that leaders can use to build a business case that fully captures the value of proxy automation. Traditional return on investment ( ROI ) models assume that processes are stable, ignoring the costs of maintaining automation as changes occur. Successful AI transformations follow a “1:3:5 model”, which means that for every $1 invested in proxy technology, an organization needs to spend $3 on process redesign and $5 on capacity building and adoption.