Currently, no computers exhibit full artificial intelligence (that is, are able to simulate human behavior) and are unlikely to do so for a few years yet primarily due to the limitation on computing power that is currently available, even in the largest supercomputers.

WISE Systems are currently based on the use of Expert Systems.

An expert system can be described as a computer application that performs a task that would otherwise be performed by a human expert. An expert system is a collection of data which clearly defines in computer form the expertise usually found in a human undertaking the same task. It is not a system that learns as time progresses, as is the case with neural networks, and to produce such a system one needs a knowledge engineer who is an individual who studies how human experts make decisions and translates that into terms that a computer can understand.

Examples of the use of expert systems include those that can diagnose human illnesses, make financial forecasts, and schedule routes for delivery vehicles. Some expert systems are designed to take the place of human experts, while others are designed to aid them.

In the early 1980s, expert systems were believed to represent the future of artificial intelligence and of computers in general. However as time progressed a number of problems began to become apparent most notably with the difficulty in defining expertise on a large scale in usable forms and the amount of processing required to achieve the required result and consequently such systems have until recently had fallen out of favor.

By taking a new approach to how expert systems are structured, the WISE Systems address many of the issues involved in the initial development and actual performance enabling the resulting systems to be used very effectively in a real time environment.