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DIMENSION 04Chapter 9

Economic Viability

“Does it create justified value?”

Evaluates total cost per governed decision or completed task against the full recurring operating burden.

Green Channels with Yellow Connector
Green Channels with Yellow ConnectorKinetic study in capital allocation channels, unit economics, and systemic downside bounded exposure.
1. The Core Question

Does the net value survive when human review capacity, monitoring, and error-remediation costs are included?

2. The False-Confidence Pattern

Raw model token pricing is used to project enterprise ROI while ignoring review and error costs.

3. Minimum Production Bar

The economic unit must be the governed task, incorporating downside error cost sensitivity.

Interactive Dimension Tool 04Cost per Governed Task Calculator

Economics: True Governed Task Cost vs Vendor Rate Card

Vendor token rate cards account for less than 15% of true operational expenditure. Human exception queues, verification reviews, and error write-downs determine whether an AI system creates economic viability or structural balance-sheet loss.

Monthly Decision Volume:50,000
Exception / Escalation Rate:8%
Review Time / Exception:3 mins
Reviewer Hourly Rate:$45 / hr
Mean Error Loss:$250
Vendor API Cost:$0.04
Base Operating Regime
$3.29/ task

API: $0.04 | Human Review: $0.18 | Error Buffer: $3.00

Stressed Operating Regime
$6.56/ task

Accounts for 2.5x exception surge under distribution shifts or downstream API latency degradation.

Simpler Baseline (Rules + Spot Check)
$1.40/ task

CAUTION: AI option is 1.89 MORE expensive than simpler heuristics.

Break-Even Sensitivity: If downstream exception rates rise above 14.5%, human review queue expenses completely wipe out token cost savings. Economic viability requires a signed review budget limit.
Diagnostic Evidence Bank

Evidence Conditions for Economic Viability

Evaluate in Full Review
E1Example evidence: Cost-per-governed-task model / value unit

Is the economic unit defined around the governed decision or completed task rather than a narrow model/API cost?

P:HB:RE:RR:HO:H
E2Example evidence: Run-rate / total operating burden

Have recurring production costs been included: data, inference, retrieval, monitoring, human review, incidents, and control burden?

P:RB:RE:RR:HO:H
E3Example evidence: Alternative comparison / baseline economics

Has the proposal been compared with the strongest credible non-AI or simpler intervention on cost and risk?

P:HB:RE:CFR:CFO:CF
E4Example evidence: Sensitivity analysis / error economics / capacity model

Does the value case remain defensible under realistic error, review-capacity, volume and downside assumptions?

P:RB:RE:RR:HO:H