Automation Anywhere, one of the leading providers of robotic process automation, has announced the addition of new generative artificial intelligence capabilities to its Automation Success platform. The unveiling of Autopilot and Automation Co-Pilot for Automators took place at the company’s Imagine 2023 user conference and is expected to be available in the first half of next year.

These tools complement the existing set of Automation Co-Pilots, which are based on generative artificial intelligence and are designed for both business users and automators. Autopilot allows users to quickly transition from process discovery to automation through the use of generative AI. Automation Co-Pilot for Automators enables citizen developers and professionals to create automations using natural language.

In addition, Automation Anywhere has introduced new features focused on automation governance with artificial intelligence, such as model selection, data privacy controls, and monitoring and auditing. These tools enable users to manage generative AI models from different providers, provide data privacy protection through data masking, and monitor model performance, ensuring compliance with privacy regulations.

The introduction of these new capabilities is aimed at organizations that are familiar with the benefits of robotic process automation but need help in accelerating their implementation and maintaining best practices. According to analyst Matt Mullen, the challenge lies in the early stages of the automation value chain, where organizations need to analyze processes and make informed decisions about which ones are suitable for automation.

Despite the potential benefits of generative AI, there is still skepticism among customers about its reliability and value. According to Alan Pelz-Sharpe, analyst and founder of Deep Analysis, while generative AI can expedite automation development cycles, the main challenge lies in conducting thorough business analysis rather than simply configuring automation tools. Additionally, most organizations lack governance for AI-related technology.

Automation Anywhere’s introduction of governance tools addresses this need, as noted by Pelz-Sharpe. Kashyap Kompella, an analyst at RPA2AI Research, emphasizes that while governance tools are crucial for implementing AI in enterprises, there are other challenges that organizations face when scaling business automation, such as managing isolated data sources and achieving partial automation. Kompella advises organizations to adopt a holistic generative AI strategy throughout the entire enterprise for successful implementation.

– Esther Ajao, TechTarget (News Writer)
– Deep Analysis (Matt Mullen, Alan Pelz-Sharpe)
– RPA2AI Research (Kashyap Kompella)