As more companies hand real responsibility to artificial intelligence systems, a question grows harder to ignore. How safe is it to let software take action on a business’s behalf. Joel Yi, the founder of DeployAIBots, brings an unusual perspective to that question, drawn from his years working in cybersecurity for the United States Army. For Joel Yi, building safe AI is not an afterthought. It is a discipline rooted in his earliest professional training.
Before founding DeployAIBots, Joel Yi served as one of the first cyber officers in the United States Army cyber branch, where he worked on network defense and monitored foreign threats aimed at national infrastructure. That world is defined by an awareness of risk. Systems can fail, be compromised, or be turned against the people who rely on them, and the job is to anticipate and prevent those outcomes. Joel Yi carried that risk aware mindset into the design of business automation, treating security and reliability as essential features rather than optional extras.
The relevance of that background is increasing as artificial intelligence takes on larger roles. DeployAIBots builds agentic AI, systems that execute operational work such as scheduling, customer communication, and internal coordination rather than simply offering suggestions. When a system acts on its own, the stakes around safety rise. A tool that merely advises carries little risk if it is wrong, because a human makes the final decision. A system that takes action independently has to be built so that it acts correctly and securely, because there is no human checking every step.
Joel Yi argues that founders who understand security from the inside are better equipped to build automation that companies can trust. His experience defending networks gave him a practical understanding of how systems can be exploited and what it takes to protect them. That knowledge informs how DeployAIBots approaches the design of its automation, with attention to the ways things can go wrong and the safeguards needed to prevent them. For Joel Yi, safety is not a marketing claim but a design requirement shaped by real experience.
The security dimension matters more as businesses automate sensitive workflows. When a company lets a system handle customer communication, internal coordination, or other operational processes, it is trusting that system with information and authority. Joel Yi believes that trust has to be earned through careful design. A system that is rushed or built without regard for security can expose a company to risk, undermining the very efficiency it was meant to provide. His cyber background makes him acutely aware of that danger.
Joel Yi’s emphasis on safety connects to his broader insistence on systems that actually work. He has been critical of an artificial intelligence market that oversells capabilities, and he extends that skepticism to safety. A system that performs impressively but is not secure is not truly reliable. Joel Yi argues that real reliability includes safety, and that a system cannot be considered well built if it leaves a company exposed. This integrated view, where performance and security are inseparable, reflects the standards of his cyber service.
The safety focus also positions DeployAIBots for the larger organizations Joel Yi hopes to serve. As the company looks to expand beyond startups toward enterprises and potential public sector applications, the requirements around security intensify. Larger and more critical operations cannot tolerate systems that introduce risk, and the public sector in particular demands rigorous attention to safety. Joel Yi’s experience protecting national infrastructure gives him relevant grounding for environments where security is not negotiable.
Joel Yi is clear that building safe artificial intelligence is ongoing work rather than a box to check. The landscape of risk evolves, and systems have to be designed and maintained with that evolution in mind. He treats this as part of the responsibility that comes with building automation that takes real action. The more a system does on its own, the more carefully it has to be secured, and Joel Yi believes that responsibility falls squarely on the people building it.
For companies weighing whether to adopt artificial intelligence, Joel Yi offers his background as a kind of assurance. The systems DeployAIBots builds are designed by someone who spent years thinking about how to protect against failure and attack. From its Miami headquarters, the company treats safety as integral to its work, betting that as artificial intelligence takes on more responsibility, the founders who understand security will be the ones companies trust most.
