A familiar pattern has emerged across industries. A company gets excited about artificial intelligence, launches a pilot, runs some trials, and then never quite moves beyond them. Joel Yi, the founder of DeployAIBots, has a name for this condition. He calls it testing mode, and he believes it is where many companies can quietly get stuck.
Joel Yi describes testing mode as the state of ongoing experimentation. A business tries artificial intelligence in small, contained ways, treating each attempt as a test rather than a commitment. The pilots generate activity and discussion, but they rarely graduate into systems that carry real operational weight. The company stays busy with AI without fully using it, mistaking the motion of experimenting for genuine adoption.
The distinction is central to how Joel Yi sees the market. He divides companies into those that have committed to artificial intelligence and those that are still testing it. The committed group restructures its operations around the technology and may begin seeing more practical benefits. The testing group keeps the technology at arm’s length, running trials that never become infrastructure. According to Joel Yi, the companies that make the commitment to change are often better positioned to move forward, while others risk remaining in testing mode.
Joel Yi argues that testing mode is comfortable, which is part of why it can become limiting. Running a pilot feels productive and carries less risk. It allows a company to claim it is exploring artificial intelligence without making the harder decisions that real adoption requires.
But comfort is not the same as progress. A business can run pilots indefinitely while competitors that have committed to operational AI begin moving ahead, and the longer it stays in testing mode, the more difficult that gap can become to close.
The root cause, in Joel Yi’s view, is an unwillingness to change how the work is done. He has been emphatic that artificial intelligence only works well if a company is prepared to rethink its processes, not just adopt new tools.
Testing mode avoids that harder work. A pilot can be added onto existing habits without disrupting much, which is exactly why it often produces limited results. Real adoption demands restructuring workflows around the technology, and that demand is what keeps many companies in the testing phase.
DeployAIBots was designed to move companies out of testing mode. The Miami-based firm builds agentic AI designed to execute operational work such as scheduling, customer communication, and internal coordination, and it can deploy these systems in a matter of days.
Joel Yi argues that this speed helps break the testing cycle. When a working system is running quickly and producing measurable results, the company can move past endless experimentation into actual use. The technology stops being a trial and becomes part of how the business operates.
Joel Yi’s impatience with testing mode reflects his broader philosophy. He has built his career on the belief that artificial intelligence is valuable when it executes real work and produces results a business can measure. A pilot that never becomes operational fails that test by definition.
His background as one of the first cyber officers in the United States Army cyber branch reinforced his preference for systems that perform under real conditions rather than demonstrations that stay safely in the lab.
He is sympathetic to why companies fall into testing mode, even as he warns against it. Artificial intelligence can feel risky, and starting with small experiments is a reasonable way to build confidence. The problem arises when the experiments never end, and when caution hardens into a permanent state.
Joel Yi’s counsel is to treat pilots as a brief step toward commitment rather than a destination, and to move decisively once the technology has shown that it can work.
For companies trying to assess where they stand, Joel Yi offers a blunt question. Is the artificial intelligence in the business actually running the work, or is it still being tested?
If it is still being tested after a long period, the company may be stuck. He believes the gap between committed companies and testing companies may continue widening, and that escaping testing mode is one of the more important moves a business can make. From its Miami base, DeployAIBots is built to help companies make that move.
