Munisekhar Katta

Operational Intelligence from BPM Telemetry: The BPIT Framework for Real-Time Platform Intelligence in Regulated Financial Environments

Abstract:

Enterprise Business Process Management platforms generate continuous streams of operational data — deployment logs, case lifecycle events, SLA records, platform health metrics — yet most organizations treat this data as a byproduct rather than a strategic asset. This talk introduces the BPIT Framework (BPM Platform Intelligence Telemetry), a practitioner methodology developed and validated in production financial services environments for transforming BPM operational telemetry into a three-layer intelligence system.

The framework organizes BPM telemetry into three distinct data streams: deployment telemetry, case telemetry (extracted via Pega's Business Intelligence Exchange), and platform telemetry. These streams feed three progressive intelligence layers — Descriptive (what happened), Predictive (what will happen), and Prescriptive (what should be done) — powered by machine learning models including XGBoost for deployment risk scoring, LSTM networks for SLA breach forecasting, and Isolation Forest for real-time anomaly detection.
Drawing from production implementations spanning collections, fraud detection, loan decisioning, and regulatory reporting, this session presents quantified outcomes including measurable reduction in production incidents, early anomaly detection ahead of user impact, and fully automated SOX-compliant audit trail generation. Attendees will leave with a concrete, phased adoption playbook — Instrument, Analyze, Automate — designed specifically for regulated environments where compliance with SOX, PCI-DSS, and FFIEC requirements is non-negotiable.

Profile:

Munisekhar Katta is a Senior Software Engineer and AVP & Assistant Secretary at a leading financial institution in the USA, where he serves as the primary enterprise Pega platform engineer responsible for cloud infrastructure, DevOps, and security across large-scale financial services operations. He owns end-to-end responsibility for BPM platforms processing over 100,000 cases weekly across collections, fraud detection, loan decisioning, and regulatory reporting applications.

With over a decade of experience in regulated financial environments, Munisekhar specializes in the intersection of enterprise BPM, AI/ML-driven operational intelligence, and cloud-native DevOps — operating within SOX, PCI-DSS, and FFIEC compliance frameworks. He is the originator of the BPIT Framework (BPM Platform Intelligence Telemetry), a practitioner methodology for real-time platform intelligence in regulated environments. His research targets IEEE-indexed venues including IEEE Transactions on Services Computing, focusing on deployment risk prediction, agentic AI architectures, and anomaly detection in production BPM systems.