Agentic AI success relies on reimagining processes, says Pegasystems
Research by Pegasystems Inc. reveals that 96% of organizations successful with agentic AI rethought existing processes to foster collaboration and innovation. The study, conducted with Savanta, surveyed over 500 decision makers and found that 71% prioritized automating complex processes for predictable outcomes.

*this image is generated using AI for illustrative purposes only.
Organizations achieving success with agentic artificial intelligence (AI) are primarily those that rethink existing processes to support a culture of collaboration and innovation, according to new research from Pegasystems Inc. The study, conducted with research firm Savanta, surveyed more than 500 business and IT decision makers worldwide who have already implemented agentic AI projects. The findings were unveiled at PegaWorld, the company's annual conference in Las Vegas.
The research indicates that 96% of successful implementers had rethought existing processes, with 53% doing so to a significant extent. This cultural shift is driven by a desire for consistent, predictable outcomes. Approximately 71% of respondents cited automating and simplifying complex processes as a top two pre-deployment objective, with 45% ranking it as their top priority. Furthermore, 58% reported that their execution aligned with these objectives, resulting in predictable outcomes and improved customer experiences.
Key Success Factors
The study highlighted several behaviors common among organizations that have successfully deployed agentic AI. A vast majority, 95%, possess a specific corporate-level strategy and execution plan. Additionally, 65% have comprehensive, pre-agreed success metrics tied to business outcomes that are regularly reviewed to evaluate implementation success.
| Success Factor | Percentage of Respondents |
|---|---|
| Rethought existing processes | 96% |
| Specific corporate-level strategy | 95% |
| Pre-agreed success metrics | 65% |
| Expect significant customer experience improvement | 61% |
Barriers to Adoption
Despite the potential benefits, the research identified significant barriers to achieving positive outcomes. Over three quarters (77%) of respondents pointed to a lack of sufficient resources as a leading barrier. Similarly, 75% agreed that a lack of knowledge and understanding of the benefits agentic AI can bring is the biggest obstacle to success.
Don Schuerman, chief technology officer of Pegasystems, noted that the industry is reaching a tipping point where adoption is high but maturity is not. He emphasized that the value of agentic AI comes from rethinking ways of working and aligning culture around what the technology makes possible.
How will organizations address the resource gap identified by 77% of respondents as adoption scales?
What specific educational initiatives are needed to bridge the knowledge gap regarding agentic AI benefits?
How will the definition of success metrics evolve as agentic AI implementations mature?

























