Platform engineering and AI: How to ensure the ROI
This session will explore how platform teams can measure and justify the return on investment for AI-driven tooling and internal developer platform initiatives, with a focus on structured rollouts, productivity metrics, and outcome-based strategies.
AI tooling is rapidly advancing, from code completion to fully agentic workflows, promising significant gains in developer efficiency and operational agility. But as adoption grows, so does the need to justify the investment. In this talk, Ralf Huuck outlines how platform engineering teams can build a strategic rollout plan that demonstrates clear business impact.
Drawing from real-world experience, Huuck explores how to define success through measurable impact dimensions and track productivity over time. He explains how to use goal setting and data-driven guardrails to manage risks and maximize long-term value. This session offers a practical framework for aligning AI initiatives with organizational outcomes and ensuring internal platform investments deliver meaningful results.
Drawing from real-world experience, Huuck explores how to define success through measurable impact dimensions and track productivity over time. He explains how to use goal setting and data-driven guardrails to manage risks and maximize long-term value. This session offers a practical framework for aligning AI initiatives with organizational outcomes and ensuring internal platform investments deliver meaningful results.
Platform engineering and AI: How to ensure the ROI
This session will explore how platform teams can measure and justify the return on investment for AI-driven tooling and internal developer platform initiatives, with a focus on structured rollouts, productivity metrics, and outcome-based strategies.
Panelist

Panelist

Panelist

Moderator

Ralf Huuck
CEO, Logilica
AI tooling is rapidly advancing, from code completion to fully agentic workflows, promising significant gains in developer efficiency and operational agility. But as adoption grows, so does the need to justify the investment. In this talk, Ralf Huuck outlines how platform engineering teams can build a strategic rollout plan that demonstrates clear business impact.
Drawing from real-world experience, Huuck explores how to define success through measurable impact dimensions and track productivity over time. He explains how to use goal setting and data-driven guardrails to manage risks and maximize long-term value. This session offers a practical framework for aligning AI initiatives with organizational outcomes and ensuring internal platform investments deliver meaningful results.
Drawing from real-world experience, Huuck explores how to define success through measurable impact dimensions and track productivity over time. He explains how to use goal setting and data-driven guardrails to manage risks and maximize long-term value. This session offers a practical framework for aligning AI initiatives with organizational outcomes and ensuring internal platform investments deliver meaningful results.
Platform engineering and AI: How to ensure the ROI
This session will explore how platform teams can measure and justify the return on investment for AI-driven tooling and internal developer platform initiatives, with a focus on structured rollouts, productivity metrics, and outcome-based strategies.
AI tooling is rapidly advancing, from code completion to fully agentic workflows, promising significant gains in developer efficiency and operational agility. But as adoption grows, so does the need to justify the investment. In this talk, Ralf Huuck outlines how platform engineering teams can build a strategic rollout plan that demonstrates clear business impact.
Drawing from real-world experience, Huuck explores how to define success through measurable impact dimensions and track productivity over time. He explains how to use goal setting and data-driven guardrails to manage risks and maximize long-term value. This session offers a practical framework for aligning AI initiatives with organizational outcomes and ensuring internal platform investments deliver meaningful results.
Drawing from real-world experience, Huuck explores how to define success through measurable impact dimensions and track productivity over time. He explains how to use goal setting and data-driven guardrails to manage risks and maximize long-term value. This session offers a practical framework for aligning AI initiatives with organizational outcomes and ensuring internal platform investments deliver meaningful results.
Platform engineering and AI: How to ensure the ROI
This session will explore how platform teams can measure and justify the return on investment for AI-driven tooling and internal developer platform initiatives, with a focus on structured rollouts, productivity metrics, and outcome-based strategies.
Host

Ralf Huuck
CEO, Logilica
Panelist

Panelist

Panelist

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