Pega launches generative AI-powered boosters to ease workflow automation

Kerim Akgonul, Chief Product Officer at Pega
Kerim Akgonul, Chief Product Officer at Pega

Pegasystems Inc., the low-code platform provider empowering leading enterprises to Build for Change®, has announced Pega GenAI™ – a set of 20 new generative AI-powered boosters to be integrated across Pega Infinity™ ‘23, the latest version of Pega’s product suite built on its low-code platform for AI-powered decisioning and workflow automation.

What makes Pega GenAI a stand-out feature?

It will be showcased at PegaWorld iNspire and available in Q3 2023. Pega GenAI will provide firms with the architecture and integrated use cases to drive value from generative AI. For example, a bank looking to automate their loan processing operations would traditionally need to start by identifying, designing, and developing dozens of workflows from scratch.

With Pega GenAI, they simply tell Pega they are building a “loan processing application,” and Pega will automatically create the related workflows, data models, user interfaces, sample data, and more based on responses from generative AI models like those from OpenAI.

Because the responses from generative AI are mapped directly into Pega’s powerful model-driven architecture, low-code developers can easily configure and change these suggested starting points to rapidly deliver a completed application. Pega GenAI boosters like these will be infused throughout Pega Infinity, allowing users to accelerate their low-code application development, enhance customer service, and improve customer engagement.

An API abstraction layer, called Connect Generative AI, will allow firms to get immediate value from generative AI with a plug-and-play architecture that allows for low-code development of AI prompts. Rather than directly calling OpenAI, or other APIs directly from UIs or workflow steps, Pega uniquely provides an API abstraction layer so developers can easily swap out LLMs and build reusable generative AI components that can be leveraged across applications.

Connect Generative AI will replace personally identifiable information (PII) data with placeholders in generative AI prompts, helping firms enforce their data protection policies and advancing secure use of public and private models. Generative AI powered boosters in Pega Infinity ’23 facilitate rapid development of new capabilities and give low-code developers the power to infuse generative AI functionality into decision-making and workflow automation.

What does Pega GenAI mean for Pega?

“We’ve added a number of powerful generative AI-powered boosters across Pega Infinity to help firms quickly leverage the power of generative AI to work faster and more efficiently. Our clients will have the flexibility and security to power our generative AI features and build their own using their large language models of choice,” said Kerim Akgonul, CPO at Pega.

“The Pega GenAI boosters released in Pega Infinity ‘23 are just the start — we plan to add new ones on a regular basis as we continue to evaluate new ways to responsibly and securely leverage generative AI and as new models come to market,” Kerim further said.

Pega’s approach to generative AI allows firms to confidently deploy their AI models of choice in a responsible and governed way while minimizing risk. It incorporates auditing, rules-based governance, and workflow-managed human approval to advance safety, security, and reliability. Pega will allow for all AI-generated text to be reviewed, edited, and approved by staff to mitigate the risk of inaccurate or biased text from being exposed to customers.

Pega GenAI builds on Pega’s expertise in computer intelligence, including rules and data-driven AI, in responsible and effective ways. It complements the already powerful AI-powered decisioning engine in Pega’s low-code platform, which brings together decision management, predictive and adaptive analytics, natural language processing, voice recognition, business rules, and a set of MLOps and testing capabilities for monitoring and governing AI models.

Full more details on additional Pega Infinity ‘23 features will be showcased at PegaWorld iNspire, the annual Pega user conference, from June 11-13 at the MGM Grand in Las Vegas.

For more information on the event and to register to attend, visit the website.

What is the wider industry context of this product launch?

The Risks of Generative AI for Businesses

Generative AI is a powerful new technology that has the potential to revolutionize many industries. However, like any new technology, it also comes with risks. Businesses that are considering using generative AI need to be aware of these risks and take steps to mitigate them.

One of the biggest risks of generative AI is the unauthorized disclosure of confidential information. Employees can easily share information with generative AI tools by cutting and pasting parts of documents into the prompt. This could lead to the loss of trade secrets, customer data, or other sensitive information.

Another risk of generative AI is the spread of misinformation. Generative AI tools can be used to create fake news articles, social media posts, and other forms of content that is designed to mislead people. This could have a negative impact on businesses’ reputations and bottom lines.

Generative AI can also be used to create harmful content. This includes content that is offensive, discriminatory, or violent. Businesses that use generative AI tools need to have clear policies in place to prevent the creation of this type of content.

Finally, generative AI can be used to create deepfakes. Deepfakes are videos or audio recordings that have been manipulated to make it look or sound like someone is saying or doing something they never said or did. Deepfakes can be used to damage someone’s reputation or to spread misinformation.

There are a number of steps that businesses can take to mitigate the risks of generative AI. These include:

  • Implementing strong data security measures. This includes encrypting data, using strong passwords, and limiting access to sensitive information.
  • Training employees on the risks of generative AI. Employees need to be aware of the potential for unauthorized disclosure of information, the spread of misinformation, and the creation of harmful content.
  • Developing clear policies on the use of generative AI. These policies should outline the types of content that are allowed and the steps that will be taken to prevent the creation of harmful content.

By taking these steps, businesses can help to mitigate the risks of generative AI and ensure that this technology is used safely and ethically.

In addition to the risks mentioned above, there are a number of other potential risks associated with generative AI. These include:

  • Bias. Generative AI models can be biased, which means that they may generate content that is discriminatory or unfair.
  • Lack of transparency. It can be difficult to understand how generative AI models work, which makes it difficult to assess their accuracy and bias.
  • Job displacement. Generative AI could automate some tasks that are currently done by humans, which could lead to job displacement.

Despite these risks, generative AI is a powerful technology that has the potential to benefit businesses in many ways. Businesses that are considering using generative AI need to carefully weigh the risks and benefits before making a decision.

Gerald Ainomugisha is a business news reporter and freelance B2B marketer with over 10 years of experience in writing high-converting copy and content for businesses of all kinds, especially SaaS providers in the niches of HR, IT, fintech, eCommerce and web3. Since joining Upwork in 2012 (back when it was still eLance), Gerald A. has delivered great results for hundreds of clients, maintaining a 98% Job Success rate as well as 5+ years of Top Rated Plus rating (and Premium Writers Talent Cloud membership). Book a meeting with Gerald A. today to get the powerful SEO content you need! 

Gerald Ainomugisha, B2B marketing expert