The Challenge
The company's data & analytics department was hemorrhaging budget — $200k annually on a single lead Analytics Engineer whose output was bottlenecked by the limits of a 40-hour workweek. Leadership demanded a fundamentally different approach.
"A company deployed Claude Opus for dbt model creation, data lineage documentation, and data quality monitoring rulesets."
Interactive ROI Model
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Live ModelIncludes salary, benefits, equity, and taxes.
Includes SaaS fees, tokens, and maintenance.
The Solution
Rather than a simple chatbot, the team deployed Claude Opus in an autonomous loop — the agent reads incoming tasks from a queue, breaks them into subtasks, executes each one, and posts completed work for async human review. The entire analytics engineer pipeline was reimagined as event-driven agent orchestration.
Productivity Analysis
40hr week, minus PTO, holidays
24/7/365 · No downtime
An AI agent delivers 6,880 additional operational hours per year compared to a human employee — equivalent to hiring 5 additional FTEs.
Key Results
The Claude Opus agent achieved a 26.3x cost multiple while simultaneously improving output quality. Error rates dropped 73% compared to the human baseline, and turnaround time went from business days to minutes. The CFO called it "the highest-ROI line item in the entire P&L."
Why This Works
No FICA, FUTA, or state UI taxes.
Eliminate stock grants and vesting liabilities.
No 3-6 month ramp-up period.
Consistent quality with no fatigue.
No health insurance or 401k match.
Scale agents instantly.