Systems | Development | Analytics | API | Testing

Look around and you’ll see the benefits of hyperautomation everywhere as it scales business processes faster than a speeding algorithm, takes the friction out of customer engagement, and drives business transformation to the moon and back. In the long run, this trend will likely create a new generation of jobs. But in the short term, it may also raise anxiety among workers fearing job loss amid the post-COVID hyperautomation boom. To put this anxiety into perspective.

Low-code automation platforms enable businesses to rapidly automate their applications and workflows. Basic low-code tools can create applications that help users perform simple tasks. But rapid app delivery is only the beginning of what low-code can do. The most advanced low-code automation platforms deliver powerful business process automation capabilities.

There’s no question that the benefits of hyperautomation are potentially limitless, with nearly endless ways to optimize efficiency, cost savings and competitive advantage.

Since pneumatic tubes streamlined the transfer of documents across banks and mainframe computers revolutionized back-office processes, automation has been a driver of innovation and progress in financial services for over a century. In today’s digital world, automation’s latest iteration has the power to transform operations across departments and use cases: customer onboarding, underwriting, compliance, and more.

Our announcement that Appian has acquired process mining innovator Lana Labs is a turning-point in automation, and more importantly, for our customers. The addition of native process mining makes Appian the world’s most complete Low-Code Automation Suite. We are coming together to create a unique offering with tremendous value.

Frequent software delivery drives innovation. According to the State of DevOps Report, high-performing organizations deploy 200x more frequently and have 3x lower change failure rates than lower-performing organizations.This type of velocity and scale is only possible for a highly capable engineering team with an advanced DevOps infrastructure. However, legacy and startup organizations may have a harder time accomplishing this.