Tag

ai roi

From Productivity to Throughput Series #1: The Time-Saved Trap

AI programs love the time-saved metric because multiplying those hours by salary makes the spreadsheet look good.

From Productivity to Throughput Series #2: Local Productivity Is Not System Throughput

Individual efficiency feels good when tasks take minutes instead of hours, but local productivity does not equal overall system throughput.

From Productivity to Throughput Series #4: Find the Bottleneck Before You Automate

Focusing on the easiest demo is the worst way to start an AI program because it ignores your actual bottlenecks.

From Productivity to Throughput Series #3: Output Volume Can Lower Throughput

Cheap AI output seems beneficial until the sheer volume overwhelms the systems tasked with processing it.

From Productivity to Throughput Series #6: Quality-Adjusted Throughput

Raw throughput metrics are often misleading unless you account for the actual quality of the work produced.

From Productivity to Throughput Series #5: AI Moves the Constraint

When a successful AI intervention creates a new problem, it means the constraint has moved, not that the intervention failed.

From Productivity to Throughput Series #7: Decision Throughput

Many workflows stall not because people struggle to produce work, but because decisions simply don't happen.

From Productivity to Throughput Series #9: Measuring AI Throughput

Measuring AI throughput requires a better unit of analysis, not a giant dashboard.
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