Executive Summary / Key Takeaways
- •Agents introduce 'Compute Cost' that scales linearly with complexity.
- •Human error is random; AI error is systemic. Governance is critical.
- •The 'Agentic Break-Even Point' happens when task volume exceeds 100/day.
The Hidden Cost of "Free" AI
While the marginal cost of intelligence is dropping, the cost of coherence is rising.
Deploying an autonomous agent requires a simplified environment. If your data is messy (Layer 2 breakdown), your agent will spend 90% of its compute cycles trying to figure out what "Customer_ID_Final_V2" means.