Dr. Neil's Notes
Software > Development > AI in Delivery Systems
The economic model of AI delivery
Introduction
Sustainable AI adoption depends on economics, not excitement. If ongoing operating cost exceeds measurable delivery value, the model does not hold.
Model cost-to-value explicitly
Track the full cost of assisted delivery, model usage, integration work, governance overhead, and human review. Compare this against reduced cycle time, reduced defect cost, and improved capacity.
Define stop conditions
Every change needs a point where it is paused or retired if value does not materialize. This protects teams from sunk-cost behavior and preserves focus.
Invest where leverage compounds
Prioritize changes that are reusable across teams and workflows. Compounding leverage, not isolated wins, is what changes portfolio-level outcomes at scale.
Part of the AI in Delivery Systems series.
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