This blog shows OpenEdge developers how they can begin applying AI today through practical workflows—order exception handling, customer-facing knowledge search, and automated code review—that augment existing ABL applications without replacing core business logic.
This webinar recap explains how to improve OpenEdge database performance through monitoring, targeted tuning of memory, storage and database structures, reducing contention, offloading reporting workloads and leveraging MDBA expertise to optimize application responsiveness, stability and scalability.
OpenEdge helps manufacturers modernize critical business systems without disruption by extending the stable, trusted applications that keep operations, inventory, production, and data-driven innovation running at scale.
AI workflows help OpenEdge developers turn single AI prompts into reliable multi-step processes using structured inputs, validation, tools, and control logic to safely integrate generative AI into real-world applications.
This blog argues that OpenEdge can serve as the trusted operational backbone for production AI by securely integrating an AI “coffee‑buying” agent with live ERP data (via PAS for OpenEdge) and captured human expertise to deliver fast, controlled, actionable decisions without replacing core systems.