Companies lose their AI returns to workforces that were never prepared to use it, and a readiness check before rollout is what separates a stalled investment from one that pays.
After the budget was approved and the tool deployed, the returns never arrived. For many CEOs and finance leads, that sequence is already familiar, and the instinct is to wonder whether the technology was the right choice.
What went wrong may have happened earlier, before the tool ever went live, when no one stopped to ask whether the people responsible for running it were actually ready to do so. A workforce that isn’t prepared at the moment a tool is switched on will not suddenly become prepared because the tool is there. The investment stalls, the numbers don’t move, and the spending that was approved with confidence starts looking like a question nobody wants to answer.
Why an AI Investment Stalls When People Are Not Ready
When people are not prepared for a new tool, they fall back on the way they already work, and the tool sits largely unused while the investment ages. McDonald’s saw a public version of this when it closed its AI drive-thru after customers grew frustrated with misheard orders.
SoftwareSeni, drawing on RAND and Forrester research, reports that around 80 percent of AI projects fall short of their value, with AI training and cross-team collaboration among the factors behind the ones that pay off. Closing that gap starts with a clear picture of where people stand before the next purchase.
What a Readiness Check Looks At Before the Spending Is Final
The reflex, when a rollout underperforms, is to look at the tool and reach for a newer model or a different vendor. That reflex is expensive and it tends to reproduce the same result, because it skips the step that was missing the first time.
A readiness check is an honest look at whether employees understand what the tool does and how it fits their daily work. It asks whether managers know what to expect from their teams once the system is live. It also asks whether people feel safe enough to admit what they do not yet know, because that is often where adoption stalls first.
That check belongs before the spending is finalized. It gives a CEO or finance lead a clear view of the people side of the investment, which is where much of the return is won or lost.
How MLC Advisory Prepares People for AI
MLC Advisory was founded on a simple conviction: people determine whether AI works inside a company. In fifteen years of working with leaders and their teams, we have seen people adapt remarkably well to change when they are prepared for it.
Our work applies human performance science to the AI-enabled workplace, anchored in the Human Performance Intelligence framework. It starts with an assessment of where your people stand. That assessment becomes a people roadmap for the rollout, and we then help you put the roadmap into practice. We are practitioners first, and the science is there to serve the people we work with.
For a CEO or finance lead, this means the people side of an AI investment gets the same attention as the technology side. The tool then has a real chance to do what it was bought to do.
Getting a Return From AI Starts With Your People
The return on an AI investment depends on the people who use the tool every day. McDonald’s showed in public what the research describes across the industry, and both point to people who were not prepared when the tool arrived. A readiness check before the next purchase gives your people the preparation they need and gives the investment a fair chance to pay off. If you are planning your next AI spend, start by asking how ready your people are to use it.