AI & Technology, Finance, Strategy
AI ROI: build an evidence ladder, not a promise
AI business cases often jump from a compelling demo to a confident ROI number. A better approach is an evidence ladder: first prove task quality, then adoption, then workflow impact, then economic effect.
Start with task evidence
Measure whether the system completes the real task at an acceptable level of quality and reliability.
Move to workflow evidence
Track cycle time, rework, throughput, exception volume or another operating measure that can plausibly change because of the system.
Prove economic effect
Only then translate operational movement into cost, revenue, capacity or risk economics. Separate realized value from theoretical capacity.
Continue the system
Keep exploring
Put it to work
Turn the idea into an operating move.
Continue with a practical resource, a structured system, or an advisory conversation when context matters.
