Pegasystems Inc., a leading low-code platform provider, has announced the launch of Pega GenAI, a set of 20 generative AI-powered boosters to be integrated across Pega Infinity ’23. This new offering aims to provide organizations with enhanced architecture and use cases to drive value from generative AI, improve workflow automation, customer service, and engagement.
Introducing Pega GenAI: AI-Powered Boosters
Pega GenAI offers a range of AI-powered boosters that can be integrated into Pega Infinity ’23, enhancing the functionality of the platform. Examples of these boosters include AI-prompted workflows, automatic data modeling, and accelerated chatbot training. These features aim to simplify and accelerate the development of low-code applications, improve customer service experiences, and streamline workflow processes.
Enhanced Workflow Automation and Efficiency
With Pega GenAI, organizations can benefit from improvements in workflow automation efficiency. For instance, a bank seeking to automate loan processing operations can now inform Pega that they are developing a “loan processing application.” In response, Pega’s generative AI models will automatically create the necessary workflows, data models, user interfaces, and more. This not only speeds up application development but also enhances customer service and engagement.
Responsible Deployment for Maximum Security
Pega GenAI’s focus on responsible and secure deployment ensures that all AI-generated text can be reviewed, edited, and approved by authorized staff, minimizing risks of inaccurate or biased content being exposed to customers. Leveraging auditing, rules-based governance, and workflow-managed human approval, Pega GenAI advances safety, security, and reliability in AI implementation.
In summary, Pega GenAI offers organizations an innovative set of AI-powered boosters that enhance workflow automation, customer service, and engagement. By focusing on responsible deployment, Pega ensures secure and efficient use of generative AI capabilities, empowering enterprises to drive greater value from their AI investments.
