Taking Advantage of the Commercial Sphere with Intelligence Automation

Advantage of intelligent automation technology to transform their business and operating models.

Just a couple of years ago, intelligent automation (IA) is changing the way businesses were done earlier. And now several organizations assist other businesses to take advantage of intelligent automation technology to transform their business and operating models.

Organizational Readiness

While intelligent automation is gaining a lot of traction, organizations that perform not adequately leverage transformation opportunities will lessen their competitive advantage and become laggards rather than leaders in their industry. Intelligent automation has been compared to other transformational technologies, but the difference with IA is that the split between leaders and laggards will widen much faster and the losers fall much quicker.

With these positive trends, several negative trends and organizational challenges, too, have seen in the previous year will often restrain these initiatives. Of those, cutting costs have cited as the top initiative by organizations. However, leading organizations will not restrict their intelligent automation usage to merely cutting costs. They will also leverage this technology to help drive digital transformation efforts that can transform their entire operational and business models while also addressing other challenges such as talent shortages. The paradox is that intelligent automation initiatives themselves can be impeded by a lack of talent in the organizations.

Intelligent Automation impacts

The positive and negative impacts of intelligent automation on the white-collar workforce must be clearly understood and managed by businesses. However, the utilization of bots and RPA will expedite and become mainstream in scale across a growing number of organizations in years to come, especially forward-thinking and digital-native firms. RPA in itself is primarily a cost-cutting tool. Those organizations that consider themselves as competitive intelligent automation players based only on their aggressive RPA efforts are bamboozling themselves.

Future Capability

For the mainstream and legacy organizations, prevalent adoption and deployment of intelligent automation – especially AI and machine learning – will remain a rarity. But all organizations must gain the right intelligent automation tools and expertise. They also need to understand where each IA component is most applicable, whether individually or in concert with other components.

Therefore, it is important to see both negative and positive trends in the context of one another. Because negative trends tend to drive positive trends. For instance, talent shortages and protectionism are part of the business drivers behind intelligent automation. Solutions based on this technology such as RPA can assist organizations in alleviating talent shortages by automating work and reducing the need for human resources, including offshore labor. Also, Artificial Intelligence and data and analytics can infuse greater intelligence into business operations, whether automated or not, and help extend the capabilities of workers.