Artificial intelligence (AI) investor and pioneer Kai-Fu Lee<\/a> has even said that AI\u2014a core pillar of IA\u2014will automate nearly half of all jobs in the coming decade, including a significant portion of tasks in white-collar jobs. <\/p>\n\n\n\n Claims such as these may sound a bit exaggerated, to say the least, but we are already seeing evidence that IA and AI will both fuel tectonic shifts in the business world.<\/p>\n\n\n\n Real-world data already exists that lends credence to these ideas. Given the rapid pace of disruptive innovation<\/a> in today\u2019s economy, IA is worth a deeper look.<\/p>\n\n\n\n IA is made up of 3 major components:<\/p>\n\n\n\n When these three capabilities are combined, it becomes possible to automate not only repetitive work tasks but also those that require human judgment and decision-making.<\/p>\n\n\n\n IA delivers many of the same benefits offered by other types of automation, such as:<\/p>\n\n\n\n These benefits are advantages that come with any type of digital automation, but due to IA\u2019s ability to automate cognitive tasks as well as manual tasks, it can also take on work performed by managers and business leaders.<\/p>\n\n\n\n According to McKinsey<\/a>, 10-15% of marketing executives\u2019 time could be automated by adapting currently existing technology\u2014leaving more time to work on strategic initiatives (or just have a cup of coffee and breathe now and then<\/em>).<\/p>\n\n\n\n IA can be used both internally, within the business and the workplace, and externally, for customer-facing applications.<\/p>\n\n\n\n A few examples of both customer and employee-facing applications include:<\/p>\n\n\n\n In the future, as AI capabilities broaden, we can expect to see a rise in the adoption of IA solutions throughout the business world.<\/p>\n\n\n\n IA can generate major performance advantages which can translate into a competitive edge, particularly for early adopters.<\/p>\n\n\n\n However, the path to achieve such advantages has many obstacles along the way.<\/p>\n\n\n\n In one survey that focused on varied types of automation, including intelligent automation, Bain and Company<\/a> found that most businesses reported cost savings of 20% on average over two years. But 44% of respondents also claimed that their projects didn\u2019t deliver the expected savings.<\/p>\n\n\n\n There were a few key characteristics that differentiated successful implementations from unsuccessful ones. <\/p>\n\n\n\n Best-practice companies addressed challenges such as competing business priorities or a lack of skill<\/a> by:<\/p>\n\n\n\n It is worth noting that some automation solutions are easier to adopt than others. <\/p>\n\n\n\n For example, it is far easier to implement a standalone automation platform, such as WalkMe\u2019s no-code Digital Adoption Platform<\/a>, than it is to have custom IA solutions developed from scratch.<\/p>\n\n\n\n Regardless of the route you take to IA, and the applications you select for the transformation, the bottom line is that every organization should establish a clear digital adoption strategy<\/a>.<\/p>\n\n\nWhat is intelligent automation?<\/strong><\/h2>\n\n\n\n
The benefits of IA<\/strong><\/h2>\n\n\n\n
Use cases and examples <\/strong><\/h2>\n\n\n\n
Overcoming the challenges of adopting automation<\/strong><\/h2>\n\n\n\n
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