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

  Agile   Artificial Intelligence   Business Intelligence   Change Management   Cost Management   Decision Making   Governance   Leadership   PMO   Portfolio Management   Risk Management  

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.
This workshop provides Technical Program Managers and Agile leaders with a practical framework to transition from isolated AI efficiency gains to portfolio-wide value orchestration. Attendees will learn how to embed predictive AI analytics within the Scaled Agile Framework (SAFe®), enforce architectural guardrails, and integrate Cloud FinOps directly into execution trains to align pre-sales commercial promises with sustainable cloud revenue.

• 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.