Intelligent Communication Orchestration: A Reliability-Centric Architecture for Mission-Critical Enterprise Notification Platforms

Authors

  • Venkata Vivek Kothakonda

Keywords:

Intelligent Communication Orchestration, enterprise notification platforms, delivery success probability, channel reliability index, multi-channel failover, communication SLOs, SRE, notification latency threshold

Abstract

Enterprise notification platforms in regulated sectors carry communications of direct legal, financial, and operational consequence; fraud alerts; compliance disclosures; and service outage notifications, yet are predominantly governed by rule-driven architectures that provide no mechanism for assessing or managing channel reliability. When primary delivery channels degrade during incident windows, these platforms fail silently and systematically. This paper introduces the Intelligent Communication Orchestration (ICO) framework and presents its central technical contribution: a formally specified Delivery Success Probability (DSP)-driven channel selection optimization model that treats notification delivery as a managed reliability property rather than a rule-execution outcome. Three formally defined metrics, DSP(c, m, t), Channel Reliability Index (CRI(c, t)), and Notification Latency Threshold (NLT(m)), are integrated into a channel selection argmax policy and a communication error budget governance model. The research question under evaluation is: Can a formally modeled DSP-driven multi-channel orchestration policy achieve statistically significant improvement in notification delivery success rate and latency compliance compared to rule-based and static AIOps routing baselines? Experimental evaluation on 450,000 notification events across five message classes in a simulated financial services notification environment over 90 days demonstrates an overall delivery success rate improvement of 20.4 percentage points over the rule-based baseline (93.8% vs. 73.4%), NLT compliance improvement of 33.1 percentage points for critical-class notifications, and a false positive failover rate of 7.2%. Channel selection F1-score reached 0.91 for critical-class notifications (AUC-ROC 0.95). All comparisons with rule-based and static AIOps baselines were statistically significant at p < 0.01 (paired Wilcoxon signed-rank test). The framework establishes a reproducible, formally governed model for extending Site Reliability Engineering (SRE) governance disciplines to enterprise communication infrastructure.

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Published

30.06.2026

How to Cite

Venkata Vivek Kothakonda. (2026). Intelligent Communication Orchestration: A Reliability-Centric Architecture for Mission-Critical Enterprise Notification Platforms. International Journal of Intelligent Systems and Applications in Engineering, 14(1s), 1812–1822. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/8424

Issue

Vol. 14 No. 1s (2026)

Section

Research Article

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