The Challenge
Scaling the Data & Analytics function proved difficult as hiring BI Engineers became increasingly expensive. The organization faced a critical decision: continue hiring expensive headcount for routine tasks or find a way to automate the bi workflow without sacrificing quality.
"A company replaced dashboard creation, data model documentation, and stakeholder requirements gathering."
Interactive ROI Model
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Live ModelIncludes salary, benefits, equity, and taxes.
Includes SaaS fees, tokens, and maintenance.
The Solution
They implemented a Claude Sonnet-based workforce automation layer. The agent was configured to autonomously process incoming requests, generate drafts, and perform initial quality checks, leaving only final strategic approval to the human team.
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 numbers tell the story: $175k/year reduced to $6k/year — a 28.2x ROI. But the real win was throughput: the agent processes in one hour what the BI Engineer completed in a week, with zero variance in quality.
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.