Operational Risk as a Process Dynamic: A BPM-Centric Early Signal Detection Framework for Regulated Service Industries

Krishna Valluru

doi:10.71097/IJAIDR.v16.i1.1912

Operational Risk as a Process Dynamic: A BPM-Centric Early Signal Detection Framework for Regulated Service Industries

Author(s)	Krishna Valluru
Country	United States
Abstract	Operational Risk Management (ORM) in regulated service industries remains predominantly anchored in static, episodic frameworks, such as Risk and Control Self-Assessments (RCSA) and retrospective loss data analysis, which frequently fail to capture the latent vulnerabilities inherent in complex, high-variability digital operating models. This paper proposes a novel BPM-Centric Early Signal Detection (BESD) framework that conceptualizes operational risk not as a discrete compliance artifact, but as an emergent process dynamic. By integrating Lean quality principles with advanced Predictive Process Monitoring (PPM), the framework leverages high-fidelity process telemetry to identify "weak signals", subtle, non-linear deviations in process behavior that precede manifest risk events. The framework synthesizes state-of-the-art architectures, including Hierarchical Transformers and Reinforcement Learning for monitoring under uncertainty, to model the temporal dependencies and stochastic nature of service delivery. The methodology validates the BESD framework through a rigorous conceptual evaluation anchored in established PPM literature. Expected performance outcomes, benchmarked against standard static models, indicate that the BESD framework structurally mitigates "alarm fatigue" by reducing false positive rates, while transforming detection latency into a tangible lead-time advantage prior to regulatory breach. This research contributes to process science by reframing risk as a function of process variability and behavioral degradation, enabling organizations to transition from reactive mitigation to proactive risk sensing in environments where regulatory compliance and operational agility are concurrently mandated.
Keywords	Operational Risk Management (ORM), Business Process Management (BPM), Predictive Process Monitoring (PPM), Early Signal Detection, Hierarchical Transformer Models, Reinforcement Learning for Process Monitoring, Adaptive Quality Gates (AQG), Process Variability and Behavioral Drift.
Field	Engineering
Published In	Volume 16, Issue 1, January-June 2025
Published On	2025-01-09
Cite This	Operational Risk as a Process Dynamic: A BPM-Centric Early Signal Detection Framework for Regulated Service Industries - Krishna Valluru - IJAIDR Volume 16, Issue 1, January-June 2025. DOI 10.71097/IJAIDR.v16.i1.1912
DOI	https://doi.org/10.71097/IJAIDR.v16.i1.1912
Short DOI	https://doi.org/hb3dht

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Operational Risk as a Process Dynamic: A BPM-Centric Early Signal Detection Framework for Regulated Service Industries

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