Business Operations Specialists, All Other

Today, most work of security-operations specialists still relies on people. AI tools are only starting to help. For example, researchers built an AI system that uses site cameras and 3D building models to track construction progress automatically: the system “locate[s] all actively constructed objects” on site and compares it to the plan ^{[1] [1]}.

Another AI can “interpret raw building blueprints” to check fire-safety or code compliance ^{[2] [2]}. These show how AI could aid tasks like contract monitoring and design review by flagging issues. Similarly, virtual reality training environments (with AI elements) have been shown to make safety training more engaging and improve long-term retention ^{[3] [3]}.

In emergency response, AI is used to handle routine parts of 911 dispatch – for instance, chatbots and automated call-triage manage simple queries – but human dispatchers still oversee crises ^{[4] [4]}. In short, AI today augments some tasks (like scanning drawings or video) but can’t do them all. Complex judgment calls (updating procedures, deciding improvements, and emergency response) are mostly still done by people ^{[5] [6]}.

Whether AI tools spread fast in this field depends on several factors. Right now, many companies haven’t adopted them: one industry report found 71% of organizations had not integrated any AI into their security processes, and most weren’t even worried about it ^{[7] [7]}. Reasons for slow adoption include cost and skills.

Security managers often lack the data or expertise to train AI systems for their sites ^[6], and they worry about privacy and losing control ^{[5] [5]}. On the other hand, there are strong incentives. Commercial AI products (like smart video monitoring) do exist, and when labor is costly or scarce, AI can save money or time.

For example, U.S. police dispatch centers face ~30% vacancy rates, so AI chatbots are being tried to ease workload ^[4]. Also, as theft, accidents, or other incidents hit a company’s bottom line, investing in AI detection can pay off ^{[7] [4]}. In summary, AI tools for security tasks are available but still new; high costs, training needs, and trust issues make adoption cautious.

Over time, though, businesses facing manpower or safety pressures may gradually use more AI, especially for routine monitoring, while humans remain in charge of judgment and emergency decisions ^{[6] [5]}.