Decision workbench

Is the AI actually saving work?

Count review, correction, and failure costs before a faster draft becomes an adoption decision.

Scenario

Describe the workflow

Evidence confidence

Decision

Run a focused pilot

68/100

Current workflow12.0 min
AI-assisted, fully loaded8.2 min
Weekly impact+7.6 hrs
Efficiency31%
Hidden tax2.2 min

Dominant friction

Review burden

Review is the largest hidden cost.

Three-minute next step

Decision record

Leave with an experiment, not a hunch.

What this score means

The score blends net time impact with evidence confidence and downside risk. It is a decision aid, not measured ROI.

What to measure next

Time the assisted flow end to end, sample errors from representative work, and record the cost of escalation or recovery.

Where not to use it

Do not use estimates alone for safety-critical, regulated, irreversible, or high-stakes autonomous decisions.

Quantifying Friction in AI Workflows

Read the explanation

AI drafts accelerate initial generation, but genuine productivity depends on the entire loaded workflow. Each run incurs review burden, probabilistic rework, and weighted critical failure cost, compounding into real hidden friction. Fully loaded assisted time reaches eight point two minutes. Net savings shrink from nine gross minutes down to three point eight. Balancing net time gains against input uncertainty outputs a pragmatic score and actionable cohort experiment.

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