In the ever-evolving world of AI, one thing is clear: there’s no shortage of buzz. But amid the hype, many of us still find ourselves asking—how do we cut through the noise and focus on what really matters?
At a recent industry event, #PegaWorld2025, I had the opportunity to catch a glimpse of something transformative—Agentic AI. What I learned inspired me to share a simplified, story-driven perspective on what Agentic AI means, why it matters, and how it’s reshaping the landscape of intelligent automation.
From Buzz to Predictability
We’ve all heard promises of smarter systems and intelligent automation. But what businesses truly crave is predictability—systems that not only act intelligently, but do so reliably, transparently, and collaboratively.
Agentic AI does just that. It brings a structured approach to deploying AI agents, ensuring they don’t just perform tasks, but do so in alignment with goals, regulations, and human expectations.
Types of AI Agents Working Around Us
Let’s explore a few key types of agents and how they’re driving real impact:
Design Agents
These agents help design and model processes using industry best practices. You don’t need to start from scratch—these AI assistants can co-create process blueprints to accelerate digital transformation.
Conversational Agents
They understand natural language, enabling human-like interactions across chat, voice, and messaging platforms. Whether it’s answering queries or completing tasks, they’re built to converse and assist.
Automation Agents
These agents specialize in tasks like document analysis and data extraction (think OCR, IDP, etc.). They can be embedded directly into workflows to automate steps and ensure transparency across systems.
Knowledge Agents
By tapping into internal systems and repositories, knowledge agents provide real-time, contextual information—enabling smarter, faster decisions.
Coach Agents
Think of them as digital mentors. They offer real-time guidance during process execution, ensuring decisions are aligned with policies and improving employee performance in the moment.
Bringing Agents Together: Agent Interoperability
The real magic happens when these agents don’t operate in silos. Pega’s Agentic Process Fabric can orchestrate workflows across both AI and human agents, connecting applications, systems, and data to create a unified and scalable agentic ecosystem.
This approach offers:
- Predictability in outcomes
- Visibility into decisions and steps
- Control over how agents behave and interact
It’s a flexible architecture built for the future.
Curious About the Tech?
If you’re interested in the mechanics, the foundations of this ecosystem include:
- Agent-to-Agent (A2A) Protocols for seamless communication
- Agent Cards to define agent capabilities
- AI design interfaces that simplify how we deploy and manage these agents
Think & Grow with PegaOOTB 