AI ROI
What is AI ROI?
The business return on an AI investment set against its full cost: time saved, quality gained, revenue added, weighed against building, running and change spend. Payback runs longer than for ordinary software, often one to two years, sometimes more. Most firms use AI without tracking this, which is how budgets quietly drift.
Why it matters
Two things make AI returns harder to pin down than ordinary software returns, and both trip up business cases. First, much of the early benefit is soft: hours saved, fewer errors, faster answers, none of which lands cleanly in a revenue line until the work is redesigned around it. Second, the costs keep running. Unlike a licence you buy once, an AI feature bills you every time someone uses it, so a success that drives heavy usage also drives the bill up. Leaders who judge AI on the demo, before either the savings or the running costs are real, tend to fund the wrong things and starve the right ones.
In practice
A support team adds an assistant and measures only the licence fee against tickets closed. The fuller picture includes the time spent writing and maintaining prompts, the cost of every query at volume, and the quality check a person still runs on the output. Counted honestly, the return is often real but smaller and slower than the pilot made it look.
