Intelligent Automation Challenges
Throughout history, people have been intrigued with the possibilities of automation and entertained by different scenarios involving more intelligent thinking machines.
But to date, companies have had mixed results with intelligent automation. Kobayashi Pharmaceutical is a good example. Although the Japanese company had a combination of RPA tools and spreadsheets that they used to aggregate and analyze product sales data, it still involved a lot of manual work to check for errors from the RPA process.
So, why is it that companies struggle to implement intelligent automation?
One thing we noticed with all the recent attention on intelligent automation was a lack of focus on people. In the 1990s and early 2000s, there was a lot of interest in processes. There was a growth in business process management tools, workflow management software, case management frameworks. And in recent years, there has been an increasing interest in technology, especially in advanced technologies, like AI, machine learning, RPA, and process mining.
But it’s almost as if the business process reengineering experts sort of over-rotated on process and technology and forgot about people.
Technology can help us improve people’s lives. So too can intelligent automation, but not if it’s used without people in mind.
That led to thinking about a better way to leverage intelligent automation technologies, a smarter way that took a more human approach, one that looked holistically at how people, processes, and technology worked together to help us achieve business goals.
3 Principles for a Successful Intelligent Automation Implementation
Setting up business process automation initiatives for success means following three crucial principles:
- To be human-centered: Get people, processes, and technologies working together to help achieve business goals.
- To be transformative: Start with the business goals to help inform which technologies in practice are a good fit or match the business goals companies are trying to achieve.
- To be adaptive: Consider the dynamic, changing nature of our world. Things rarely stay the same. Smarter automation should consider this ever-changing business and competitive landscape and be able to adapt and change with it.
Doing Intelligent Automation the Right Way
If you want to learn more about how to successfully implement intelligent automation, take a look at the session Re-Examining Intelligent Automation. In this insightful webinar, international distributor Redington Gulf shares its experience how they optimized the company optimized its business processes holistically for a longer-term sustainable competitive advantage.
You can also read this intelligent automation case study here.