For the past 20 years and to the benefit of the C-suite in companies all over the world, smart automation software has been engineered, refined, and constantly improved by its developers to respond automatically to repetitive and resource-consuming tasks – that is, the work that nobody wants to do.
It is widely accepted that the most basic and repetitive tasks usually can be solved with software, scripts, and simple programs with even limited intelligence making it the baseline for automation. That scenario is so 2010 – if you threw just a few variables into the mix, and the engine would come to a grinding halt.
Today, organizations such as the largest banks, IT companies, and telecoms are moving beyond the baseline of basic automation, and it isn’t for cost savings alone. Their compliance requirements related to higher-order transactions have increased, and the stakes are much higher for them to remain in compliance. This plus the expense of using expertly trained personnel to keep IT systems running and to solve what boil down to basic and repetitive problems are key drivers in the move to more advanced intelligent automation.
Another key factor is one that has been a constant this decade – the issue of so much data flowing into the company, from transactions, authentications, and other business processes affecting customers that organizations need any help they can find just to keep up. It is the quintessential image of trying to drink from the fire hose, and the fire hose is ever-widening. And with the state of IT today, few organizations – even highly successful ones – have been able to increase IT spending fast enough or significantly enough to match the growing demand for IT in all aspects of the business.
If You Can’t Get Bigger, Get Smarter
What this means, in the end, is either increased costs or increased risks, neither of which is acceptable. But the good news is that the smart automation technologies available today are light years ahead of earlier automation tools, which depended heavily on hand-coded scripts and rigid run books to automate some traditional manual IT tasks. Today, smart automation engines are more capable than ever of analyzing, learning, and responding to a mountain of transactions, which can number in the thousands per minute. These transactions are critical, must be watched and responded to in real time and, as an added benefit, produce critical, valuable, and actionable data.