Project Management

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

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linkedin twitter facebook Request to reuse this   Agile   Artificial Intelligence   Business Intelligence   Change Management   Cost Management   Decision Making   Governance   Leadership   PMO   Portfolio Management   Risk Management  
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37m 21s
Duration
1.00
PDUs
65
Views

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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Talent Triangle Alignment

This video qualifies for the following PDUs:
 
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PfMP
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PMI-CPMAI
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