6 tips for choosing technology that will future-proof your business

While the post COVID-19 future remains uncertain, it is clear that information systems and in particular intelligent automation will be at the heart of the global recovery. As businesses look at what operational changes can be made to facilitate the ‘new normal’, the potential of IA to offer immediate ROI while also contributing significantly to future value generation make it an extremely attractive prospect for leaders looking to future-proof their organisations.

The blocker comes in the fact that, on the surface, automation can look intimidating. We have all heard the scare stories – of robots coming for our jobs – but in practice IA is there to augment our skill-set rather than replace us. With high-volume, repetitive tasks taken care of, employees can apply their minds to strategic and creative problems that offer more long-term value.

Another problem is the murky definition of what intelligent automation is. Many providers, in an effort to wrap it up in a neat bow, have billed it as a single solution, a single product, rather than what it is: a suite of highly-connected and interactive tools that work holistically to provide an intelligent ecosystem. In order to bring clarity to businesses in the market for IA solutions, we have provided 6 tips below that can help you identify truly ‘intelligent’ systems.

Quick results

Intelligent automation is not a ‘slow burner’. When properly implemented, the results and improvements to your processes should be quickly visible. Working with Procensol, we can have a complete IA ecosystem up and running within eight weeks.

Quick to deploy

Because of its ability to plug and play with existing systems, intelligent automation can be deployed quickly and with minimal downtime. It should also be available at any time, anywhere, on any device.

Data analytics friendly

Intelligent automation is able to expose or consume data for transparent reporting very quickly. Easily integrated with data analytics and data management platforms, it can also help you manage the full life cycle of your data and implement sustainable data practices.