Decision automation is entering a new phase, where organizations need decisions that are not only consistent and explainable, but also better informed by trusted enterprise data and easier to evolve as business needs change. Progress Corticon provides deterministic, rules-based decision automation, while the Progress Data Platform supplies the governed data foundation, policy context, knowledge models, semantic enrichment, traceability and secure access patterns needed to support richer and more auditable decision services.
This session will explore how PDP leverages the Progress Corticon technology to strengthen established decisioning use cases such as eligibility, claims, compliance, routing, pricing, case handling and operational prioritization. It will also look at how agentic AI can help accelerate the creation and evolution of decision projects by assisting with rules, tests, documentation and supporting project artifacts. Rather than replacing rules-based systems, AI can reduce the effort required to build, update and maintain them, while business rules continue to provide the governance, repeatability and control required for critical decisions.
Attendees will leave with a practical understanding of how governed data, explainable rules and agentic AI can work together to modernize decision automation. The session will clarify the role of each capability: Corticon remains focused on trusted decision logic, PDP provides the data and knowledge fabric needed to operationalize better decisions, and agentic AI helps make decision automation faster, more approachable and easier to maintain without sacrificing trust, transparency or compliance.
