Claims about artificial intelligence saving time are easy to make and hard to verify.
Joel Yi prefers to point at a number from inside his own company. DeployAIBots, the Miami based firm he founded, reports reclaiming more than 150 hours of work each week by running its own technology internally. For Joel Yi, that figure is the most honest answer he can give to anyone wondering whether business AI actually delivers.
The reasoning behind the emphasis is straightforward. Joel Yi has built DeployAIBots around the idea that artificial intelligence should execute work rather than merely assist with it. The company installs agentic AI systems that take over repetitive operational tasks such as scheduling, customer communication, internal coordination, and routine back office processes. If that approach works, Joel Yi argues, it should show up as time recovered, and a company that cannot demonstrate the savings in its own operation has no business promising them to others.
The 150 hours are not abstract. They represent the routine, repeatable work that previously consumed staff time and now runs on its own. In a growing company, that recovered capacity carries real weight. It is the equivalent of adding people without adding payroll, redirecting effort away from predictable tasks and toward the work that actually requires human attention. Joel Yi frames this as the practical meaning of efficiency, stripped of jargon.
He is deliberate about using his own company as the proof point. Joel Yi has been openly critical of an artificial intelligence market that, in his telling, leans heavily on theory and light on delivery. He has observed that many in the field are selling ideas and giving advice rather than deploying working systems. By measuring and citing the hours his own operation reclaims, he tries to hold DeployAIBots to a stricter standard than the one he criticizes in others. The number is a way of insisting that everything the company does connects to a measurable outcome.
That insistence on measurement runs deep. Joel Yi has said that he is not interested in theory and that everything DeployAIBots does is tied to a result a client can see, whether that means cutting costs or increasing capacity. The hours saved internally are simply the clearest example, because they apply to the company itself rather than to a client testimonial that an outsider cannot check.
Joel Yi’s history helps explain the discipline. Originally from Malaysia, he moved to the United States as a teenager and became one of the first cyber officers in the United States Army cyber branch, working on network defense. That world does not reward systems that merely sound effective. It rewards systems that perform, and it punishes those that do not. He brought the same expectation into business, treating a working result as the only meaningful evidence that an approach is sound.
He is also careful not to oversell the figure. Joel Yi notes that results like these depend on doing the underlying work properly, which means restructuring a process around automation rather than bolting it onto existing habits. A company that automates a poorly designed workflow will not see the same return, because the savings come from the combination of good system design and a willingness to change how the work is done. The 150 hours, in other words, are the product of method, not luck.
For businesses weighing whether to adopt artificial intelligence, Joel Yi suggests the internal number offers a useful frame. The question is not whether AI can theoretically save time. It is whether a given deployment produces savings that can be counted. A vendor that uses its own tools and can point to a concrete figure is, in his view, more credible than one that trades only in possibilities.
From its Miami headquarters, DeployAIBots intends to extend this approach to more industries and larger organizations. As it does, Joel Yi expects the same standard to follow. Each deployment, he says, should be judged by what it actually returns. The 150 hours a week his own company reclaims are simply the first entry in that ledger, and the one he is most willing to stake his credibility on.
