The "Token-ROI" Unit Economics
Playbook #005: The "Token-ROI" Unit Economics
Executive Brief
Human-Equivalent Token Rate™ (HETR™): AI productivity is often a mirage if the cost of compute exceeds the cost of the human labor it replaces. This playbook provides the mathematical formula to verify if your AI initiatives are generating a net margin or just burning cash through hallucination-fixing and high API overhead.
Questions to Consider
- “What is the exact dollar cost of a human performing this task at 100% accuracy?”
- “Are we factoring in the cost of hallucination-checks into our unit margin?”
Expected Excuses
- AI provides 'intangible' productivity gains that aren't easily measured.
- The cost will drop significantly once we reach scale.
Executive Script
Tell your team: 'I need to see the unit economics of this pilot before we authorize the next sprint.'
The Friction
In high-volume AI workflows (like document processing), organizations ignore the variable cost of long-context tokens. As scale increases, the compute costs silently erode the initial efficiency savings.
The Playbook: The Scale Balance Diagnostic
A diagnostic method to prevent 'Economic Drift'. This playbook provides the formula to calculate the Human-Equivalent Token Rate™ (HETR™) to determine if a project should be automated or remain manual.
Step 1: Man-Hour Baseline
Calculate the exact $ cost of a human performing the task at 100% accuracy.
Step 2: Token Burn Audit
Factor in 3x model calls (Original, Hallucination Check, and Correction).
Step 3: The Profit Pivot
If the AI cost is > 70% of human cost, flag for 'Prompt Compression' or termination.
The Scale Balance Diagnostic
Operational Velocity
Speed of AI Execution
Unit Margin
Cost of Compute (Tokens)
Base Threshold: The P&L Break-Even Point
Strategic Constraint
Finance / Ops
P&L Impact
Margin Optimization
Signal Strength
Quarterly Audit