Only 1/3 of those surveyed are using AI with 50% demonstrating a positive impact on their operations
From the survey “RPA and AI: Living up to the Hype?” by HighRadius and SSL
Within the last year, we have seen customers voice their desire for RPA solutions that extend beyond individual task automation, integrating AI components to enable broader use cases and more sophisticated task variation. This is just the beginning but begs the question as to why there is such low adoption in the industry?
58% of those surveyed state the inability to fully comprehend and communicate the business potential of AI in their business processes as a key barrier to success. As with similar challenges we see with RPA adoption, 48% also state the difficulty in building in-house expertise to build machine learning or AI applications from the ground up.
Areas of future growth in AI are generally consistent with where they are most used;
AI for analysis and RPA for processing.
The survey results also tell us that:
A 2020 survey by Deloitte states that 53% of their respondents started to implement some form of RPA, and this percentage will become 72% by 2022. We know that RPA isn’t just noise, but it’s clear organizations need to be realistic and engage with experts to help them identify and deliver the most value to their organization.
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