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Agentic AI Success Starts by Reimagining Existing Processes, Says Research
LAS VEGAS, June 08, 2026--Organizations delivering agentic artificial intelligence (AI) successfully do so by rethinking existing processes to support a culture of collaboration and innovation that maximizes project benefits, according to new research from Pegasystems Inc. (NASDAQ: PEGA), the enterprise AI software company for mission-critical work. The study, conducted with research firm Savanta, was unveiled at PegaWorld®, the company’s annual conference in Las Vegas. It identified more than 5
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Study finds organizations that achieve agentic AI success force cultural reset to maximize benefits and achieve consistent, predictable outcomes LAS VEGAS, June 08, 2026--(BUSINESS WIRE)--Organizations delivering agentic artificial intelligence (AI) successfully do so by rethinking existing processes to support a culture of collaboration and innovation that maximizes project benefits, according to new research from Pegasystems Inc. (NASDAQ: PEGA), the enterprise AI software company for mission-critical work. The study, conducted with research firm Savanta, was unveiled at PegaWorld®, the company’s annual conference in Las Vegas. It identified more than 500 business and IT decision makers across enterprises worldwide who have already implemented agentic AI projects and surveyed them on the secrets behind their success. The study revealed the vast majority (96%) of those who successfully implemented agentic AI had rethought existing processes, sparking a new culture of collaboration and innovation. More than half (53%) said they’ve done so to a ‘significant’ extent, by reimagining everything their organization does to gain maximum benefit from their agentic implementations. Eighty percent agreed business and IT were willing to embrace new technology, innovation, and ideas to explore new possibilities – a further sign of revisiting traditional ways of thinking and finding new ways to collaborate and ensure project success. This newfound commitment to rethinking old methods to ensure success is driven largely by a desire to provide more consistent, predictable outcomes. Three quarters (71%) of successful agentic AI implementers said one of their top two pre-deployment objectives was to automate and simplify complex processes, so they work consistently and predictably across systems and platforms. Almost half (45%) ranked this as their top priority. Over half (58%) also reported their execution aligned with these objectives had already been rewarded with predictable outcomes, reduced complexity, and improved customer experiences. Other findings from the research highlighted some of the key behaviors of those who have achieved agentic AI success, including: Quotes & Commentary"We’re fast reaching a tipping point with agentic AI where adoption is high within organizations, but maturity is not," said Don Schuerman, chief technology officer, Pega. &q...