From Pega logs to language models
The landscape of enterprise automation is shifting beneath our feet. For years, we relied on structured, process-driven frameworks like Pega to manage complex workflows. These systems were the backbone of digital transformation, enforcing logic, compliance, and order.
But today, we stand at the precipice of a new era defined by Large Language Models (LLMs).
The Old Guard: Deterministic Systems
In the traditional world, everything was deterministic. If X happens, then Y must follow. We spent countless hours defining rules, configuring case types, and mapping out every possible exception. It was robust, but rigid.
The New Era: Probabilistic Intelligence
Enter Generative AI. Unlike the strict logic of BPM, LLMs operate in the realm of probability. They understand context, intent, and nuance in ways that hard-coded logic never could.
"The future of automation isn't just about following rules; it's about understanding the intent behind them."
What changes?
- Interface: From complex forms to natural language conversations.
- Logic: From hard-coded rules to semantic understanding.
- Maintenance: From code deployments to prompt engineering.
The transition won't be overnight, but the trajectory is clear. The systems of tomorrow will be hybrids—combining the reliability of structured process management with the flexibility of generative intelligence.