If You Want to Measure Macro Results, Answer These 3 Questions Before AI Touches Your SDLC
Measure AI impact at the macro level by answering three critical questions before implementation: what you’re solving, how you’ll measure it, and who owns results.
Successful technology adoption requires understanding the problem, not just implementing the solution.
Establish clear objectives for AI before investment.
Organizations must define concrete, measurable business outcomes for AI initiatives, connecting technology spend directly to strategic goals.
AI interventions shift existing constraints; they do not eliminate them. Identify the true systemic bottlenecks before applying AI to avoid optimizing non-critical paths.
The actual software development lifecycle, not its documented ideal, dictates where AI can most effectively reduce waste and improve flow.
A thorough understanding of current processes, including friction points and non-value-add activities, is prerequisite to effective AI integration.
The absence of clear objectives and system understanding transforms AI investment into speculative spending.
Successful technology adoption requires understanding the problem, not just implementing the solution.
Establish clear objectives for AI before investment.
Organizations must define concrete, measurable business outcomes for AI initiatives, connecting technology spend directly to strategic goals.
AI interventions shift existing constraints; they do not eliminate them. Identify the true systemic bottlenecks before applying AI to avoid optimizing non-critical paths.
The actual software development lifecycle, not its documented ideal, dictates where AI can most effectively reduce waste and improve flow.
A thorough understanding of current processes, including friction points and non-value-add activities, is prerequisite to effective AI integration.
The absence of clear objectives and system understanding transforms AI investment into speculative spending.
After 20 years in software development, Norman is both a hands-on leader and defining the new age of AI SDLC for some of the biggest brands in the world — and exploring it with the builders. He writes here about things he is hearing and seeing. All posts are his personal points of view and do not reflect any employer or any customer he has ever had contact with.
The views and opinions expressed in this article are the author’s own and do not represent the positions of any employer, client, or affiliated organization.
