As enterprises push deeper into digital transformation, automation alone is no longer enough. While process automation has streamlined workflows, many organizations still struggle with static decisions, brittle rules, and AI systems that lack situational awareness. The result is automation that executes tasks efficiently, but fails to adapt to real-world complexity.
Learn how enterprises are architecting intelligent automation systems that combine process efficiency with situational decision-making.
This white paper explores how combining Digital Process Automation (DPA) with AI-powered Decision Engines (DEs) enables a new class of context-aware automation—systems that not only execute processes, but also reason, adapt, and respond intelligently to changing data, regulations, and customer expectations.
By unifying process orchestration with AI-driven decision intelligence, enterprises can move beyond linear automation and toward dynamic, self-adjusting operations that deliver measurable business impact.
What’s Inside?
- Types of Decision Engines: Includes Business Rules, Machine Learning, Expert Systems, and Hybrid Engines.
- How Decision Engines Work: A structured approach from data collection and pre-processing to rule application, decision output, and monitoring.
- Core Components and Architecture: Describes the interplay of the Process Orchestrator, Decision Engine, Feature & Data Layer, Model Runtime, and Knowledge Graph.
- Addressing the Contextual Gap: Discusses how traditional AI often lacks awareness of background data, memory, and the “bigger enterprise picture,” and how Context Engineering techniques like Retrieval-Augmented Generation (RAG) and Graph-based Modeling bridge this gap.
- Industry Use Cases: Practical applications in sectors like Financial Services (credit decisioning, fraud detection), Healthcare (prior authorization), and Retail (dynamic promotions).
Why It Matters
This white paper outlines how enterprises can architect automation systems that are not just faster—but smarter. By embedding context-aware decision intelligence into automated workflows, organizations can achieve adaptive execution, reduced risk, and sustained business value in complex operating environments.
Terms of Use
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