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.