Pegasystems Inc. today extended the reach of a set of blueprints that leverages generative artificial intelligence to enable teams to collaboratively customize a set of workflow templates.
Announced at the PegaWorld iNspire conference, organizations can also import existing proprietary templates into Pega GenAI Blueprint along with, starting in the third quarter, existing business process models.
In addition, Pegasystems is adding a “generate more” capability with which the platform will automatically generate additional content such as case types, fields or personas. In addition, there is now a tool that automatically generates editable data model fields behind each case type.
Finally, Pegasystems, in addition to revamping the user interface for Pega GenAI Blueprint, has also added a live application preview tool.
Initially launched earlier this year, Pega GenAI Blueprint is a software-as-a-service (SaaS) application that creates frameworks that can be imported into the low-code App Studio platform to create an application. More than 30,000 blueprints have been created by more than 500 organizations since Pega GenAI Blueprint became available last April, the company reports.
The goal is to make it possible to iteratively build workflows that can easily evolve as business requirements change, says Pegasystems CTO Don Schuerman. “A workflow is now a living, breathing thing,” he says.
A global survey of 500 business decision makers conducted by the research firm Savanta on behalf of PegaSystems finds 44% reporting their organization is mainly using generative AI for creative or productivity-enhancing tasks such as content creation (61%), curating large stores of information (54%), or in conversational chatbots (51%).
Conversely, less than a third of all respondents (31%) are applying generative AI to other tasks and functions, such as predictive analytics (57%), or decision management tools (42%). Only 25% of respondents are applying generative AI across all tasks, the survey finds.
However, 92% of respondents note it’s likely they will increase their use of AI in the next five years, with 74% reporting they are either extremely or very confident AI can add transformational business value to their organization over the next five to 10 years. In the short-term, the vast majority (79%) also expect to be able to directly attribute up to half of their increased profits over the next three years to their use of AI.
A full 83% said they spend up to half of their annual IT budget on AI solutions, with 77% admitting to at least some level of waste in their budget spend, due to a lack of a proper strategy.
However, while 93% said they have a good understanding of AI and the way it works, nearly two-thirds (65%) could not correctly identify an accurate definition of generative AI – despite only 3% admitting they don’t know what the technology is.
Overall, 80% report some form of AI has been in general business use for less than five years, with nearly two-thirds (61%) sharing they have had a failed AI implementation.
Half of respondents (47%) are concerned with resting the success of their brand on AI, while 51% also admit they have concerns over AI transparency and bias. Despite these concerns, a majority (62%) trust AI to completely run a department if they felt it would improve overall results, compared to 41% that prefer to trust a human to build customer relationships, provided they had assistance from AI. Only 15% would trust a human more without AI intervention.
Additionally, 21% of respondents said they think their organization has weak AI skills and experience, while more than a quarter (28%) identify a lack of AI skills as a further barrier to AI adoption. The majority said individuals that have prompt engineering skills are most in demand (64%), followed by experts in AI theory and academics on the subject (46%). Just 5% are not proactively looking to hire anyone based on their AI skills or experience.
Finally, the survey notes that 42% of respondents are also worried about AI taking their jobs, with an almost equal percentage (40%) concerned about the potential enslavement of humanity by AI-powered robots.
Regardless of how business leaders may feel about AI, the proverbial genie is out of the bottle. The issue now is determining how best to incorporate AI into digital business processes that will soon utterly transform the way everyone lives and works.
