The Orchestrated Enterprise: Aligning AI Productivity, SAFe® Governance, & Cloud FinOps

Featuring Nasim Choroumi, James Turchick Delaware Valley Chapter, and Caitlin Sullivan - September 10, 2026

Overview

While generative AI tools promise unprecedented developer velocity, enterprise delivery leaders face a growing paradox: localized coding speedups rarely translate into predictable product delivery or bottom-line business value. Without structural governance, unchecked code generation pushes bottlenecks downstream into integration testing, security compliance, and uncontrolled multi-cloud infrastructure costs.

Learning Objectives

• Analyze the AI Productivity Paradox: Identify why developer-level efficiency gains fail to accelerate end-to-end enterprise throughput.
• Operationalize AI in SAFe®: Implement predictive AI models across PI Planning, dependency mapping, and capacity forecasting.
• Bridge Delivery and Cloud FinOps: Integrate real-time cloud cost controls and margin modeling directly into Lean-Agile execution.
• Establish Pre-Sales Alignment: Settle commercial SOW commitments against actual engineering capacity using data-driven governance.

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