Agentic AI That Actually Works

Enterprise AI is no longer experimental.
It is now about execution, control, and real outcomes.
Are you ready to see what that actually looks like?
[Sponsored]

PegaWorld 2026 is where enterprise AI moves from pilots to production, with a clear focus on agentic AI, workflow transformation, and modernising legacy systems without disruption.

This is not theory. This is how organisations are starting to operationalise AI at scale.

What to expect at PegaWorld 2026:

🔹 Keynotes and real-world insights from leaders at companies like MetLife, Wells Fargo, Amazon Web Services (AWS), and Cognizant
🔹 80+ breakout sessions covering AI, automation, and customer engagement
🔹 Live demos and hands-on exploration in the Innovation Hub
🔹 Practical strategies for embedding AI into real enterprise workflows
🔹 Training and certification opportunities to build real capabilities
🔹 High-value networking across business and technology leaders
🔹 And yes, the chess tournament with Alan Trefler is back! 

Whether you are in Vegas or following remotely, this is where the next phase of enterprise AI becomes tangible. 

Let’s see what execution really looks like. 

🌎 PegaWorld 2026 | June 7–9, 2026 | Las Vegas 

Transcript

Agentic AI Gets Real

SPEAKER_00 0:00

PEGA World 2026, where agentic AI gets real. Let's get real. AI is past the hype. Organizations now ask why it is still so hard to get consistent, scalable value from AI in real operations. The gap is clear, AI alone is not the answer. Uncontrolled agents and more tools in complex environments are not solutions. Winning organizations take a different approach. They build workflow native models, embed AI into processes, govern it, and ensure scalable, predictable results. That is exactly why I will be in Las Vegas for PegaWorld 2026, because this is where that shift becomes tangible rather than theoretical. From experimentation to execution. The enterprise AI conversation has changed materially over the past 12 months. Agentic AI is no longer something discussed only in innovation labs or strategy decks. It is now being deployed to design, execute, and optimize workflows across core business functions. However, many organizations are still making a critical mistake. They are pushing large language models directly into runtime decision making without sufficient control. This introduces variability into environments that depend on consistency, auditability, and repeatable outcomes. Without structure, organizations face risks ranging from inconsistent outputs to audit failure and unclear accountability. What is far more compelling and what I expect to see demonstrated at PegaWorld 2026 is a more disciplined model. AI is used where it is strongest, supporting creativity, redesign and optimization at the design stage, while execution at runtime remains structured, governed, and deterministic. This is not a subtle distinction. It is the difference between experimentation and execution, and it is where real enterprise value is now being created. Rather than treating AI as an overlay, leading organizations are embedding it into how work actually gets done across processes such as customer service, onboarding, claims handling, and operational decision making. AI that works, not AI that impresses. A clear theme is emerging across the market and it is likely to define this year's event. AI that works is far more valuable than AI that simply impresses. In practice, this means shifting from isolated pilots towards systems embedded in workflows, governed by rules and controls, and tied to measurable business outcomes. These outcomes include reduced operating costs, faster cycle times, improved customer experiences, and lower exposure to operational and regulatory risk. Early value typically comes from high volume, rules-based workflows where efficiency gains are immediate. For example, an insurance company could use AI-driven claims processing, automated document triage, and eligibility checks to reduce claims handling time from days to hours while improving accuracy and customer satisfaction. That is the real promise of AI in enterprise operations, not novelty, not demos. Tangible workflow impact. What is particularly interesting about Pega's positioning is its focus on orchestrating AI through workflows instead of building many disconnected agents. This prioritizes consistency and control, ensuring AI enhances enterprise performance rather than creating instability. Many organizations are still adopting this mindset shift, but it is increasingly clear that sustainable value sits here. Closing the gap between strategy and execution. One of the persistent challenges with AI adoption is the gap between strategic intent and operational delivery. Many organizations understand where AI could add value. Far fewer have translated that into working systems that can be deployed at scale. Pega World 2026 is designed to address exactly this issue. With a large-scale innovation hub, hundreds of demonstrations, and direct access to Pega Blueprint, Pega Infinity, and the Pega Solutions team, the focus is on hands-on application rather than abstract ideas. Blueprint in particular represents an important step forward. The process is clear and designed for rapid, secure transformation. Teams start by capturing ideas and requirements, map workflows collaboratively with built-in AI suggestions, iterate and validate prototypes in real time, and then advance through defined approval gates before moving into deployment. Every phase, from initial design to testing and launch, is tracked and governed. This ensures clear ownership and auditability. That enables teams to move from concept to prototype quickly, modernize legacy systems more efficiently, and design workflows collaboratively using AI before deploying them in a controlled and auditable way. This is where AI begins to move from theory into practice and where organizations can start closing the gap between ambition and delivery. Learning from those who have already done it. Another defining feature of PegaWorld 2026 is the caliber of its speakers. At this stage in the market, theoretical perspectives are less valuable than practical experience. The Keynote lineup brings together leaders from organizations such as UNUM, MetLife, Wells Fargo, AWS, and Cognizant. These are organizations navigating complex transformation programs in real time. Their insights are not based on what might work. They are based on what has already been tested, scaled, and refined within large operational environments. For most organizations, the challenge is no longer generating ideas, it is executing them effectively, assigning clear ownership, and scaling what works without introducing unnecessary risk. Control as the defining advantage. Control stands out as the key advantage in enterprise AI. Success is not about access to the best models or more tools, it is about trusting outputs, auditing decisions, and scaling while maintaining compliance and performance. Many current approaches fall short because they prioritize capability over control. They introduce variability into environments that require consistency. Separating design time creativity from controlled runtime execution offers a way to resolve this tension. It allows organizations to benefit from AI's flexibility without losing the structure required for enterprise operations. Practical governance makes this real. PegaWorld 2026 is positioned around confidence that attendees will leave with practical frameworks, actionable steps, and a clearer view of how to deliver real returns from AI in enterprise operations. Final thought. See you in Vegas. This concludes the article. You can also read this article on my LinkedIn page where I share regular insights on AI, strategy, and emerging technologies.