"What is striking about BCG's findings, according to Jessica Apotheker, managing director and senior partner at Boston Consulting Group, is that the leading companies in AI are mostly the same ones that were leaders eight years ago. "What this year's report shows is that the value gap between these companies and others is widening quite a bit," she says. In other words, BCG's research shows that organisations that have invested disproportionately in technology achieve a higher return from that investment."
"BCG's Build for the future 2025 report shows that the companies it rates as the best users of AI generate 1.7 times more revenue growth than the 60% of companies in the categories it defines as stagnating or emerging. For Ilan Twig, co-founder and chief technology officer (CTO) at Navan, AI projects that fail to deliver value are indicative of how businesses use AI technology. Too often, AI is dropped on top of old systems and outdated processes."
"However, there is certainly a case to build on previous initiatives such as robotic process automation (RPA). Speaking at the recent Forrester Technology and Innovation Summit in London, Bernhard Schaffrik, principal analyst at Forrester, discussed how agentic AI can be built on top of a deterministic RPA system to provide greater flexibility than what existing systems can be programmed to achieve. The analyst firm uses the term "process orchestration" to describe the next level of automating business processes, using agentic AI in workflow to handle ambiguities far more easily than the programming scripts used in RPA."
Leading technology investors are maintaining and widening an AI advantage, with many of the top AI companies being the same leaders from eight years ago. Organisations that invested disproportionately in technology are realizing higher returns and faster revenue growth compared with stagnating or emerging peers. The top-rated AI users generate about 1.7 times more revenue growth than a large portion of other companies. Many AI initiatives fail when layered onto legacy systems and outdated processes. Building agentic AI on deterministic RPA and adopting process orchestration can improve automation flexibility and handle ambiguities better than scripted RPA alone.
Read at ComputerWeekly.com
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