Small Business AI Automation ROI & Delivery Workbench

Operational Inputs Live Math.js Engine

Monthly Task Volume 450 tasks

Human Hourly Staff Rate ($) $35.00/hr

Manual Minutes per Task 18 min

Target Automation Rate 82%

LLM & Delivery Pricing

LLM Token/Task ($)

Agency Setup ($)

Agency Monthly Retainer ($)

Pipeline Workflow DAG Interactive Node-Link Architecture

Baseline Manual Cost

$4,725.00

135.0 labor hours/mo

Automated Operating Cost

$850.50

Tokens: $36.00 | HITL Review: $364.50

Unit Economics & Margins Verified Output

Net Monthly Client Savings
$3,340.50
Gross: $3,874.50/mo

Client Payback Period
1.05 months
ROI achieved in < 2 months

Agency First-Year Contract

$8,900.00

Setup ($3.5k) + Retainer ($5.4k)

Agency Gross Margin

86.4%

Net Profit: $7,692.00

Small Business AI Automation ROI & Delivery Workbench

Monthly Labor Hours Saved: 110.7 hrs | Net Savings: $3,340.50 | Payback: 1.05 months | Agency Contract: $8,900.00 | Margin: 86.4%

Automation unit economics and dependency-blocked calculations

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The workbench default fixture assumes four hundred fifty tasks monthly, eighteen manual minutes each and thirty five dollars per hour. Total manual time is one hundred thirty five hours and assigned baseline cost four thousand seven hundred twenty five dollars. Automation fraction point eight two yields three hundred sixty nine automated tasks and eighty one human reviews. At the same task duration, review takes twenty four point three hours and eight hundred fifty point five dollars. Bars compare one hundred thirty five and twenty four point three at one point five pixels per hour. This is intended arithmetic from the source, not achieved automation, observed task routing or a real wage recommendation. Offline missing Math prevents calculation while native input listeners have already bound. The formula charges an assumed point zero eight per task on all four hundred fifty tasks, yielding thirty six dollars, even though some route to review. Adding that to eight hundred fifty point five review labor and four hundred fifty retainer gives one thousand three hundred thirty six point five operating cost. Subtracting from baseline four thousand seven hundred twenty five yields intended net savings three thousand three hundred eighty eight point five. Bars compare it with the original static three thousand three hundred forty point five caption at point zero five pixels per dollar. The formulas and stale HTML do not agree. Native volume edits update control captions then missing Math throws before derived metrics, leaving that static result. JSON export also recalculates and fails before download; this is preserved rather than represented as an actual delivery brief. The agency formula adds setup three thousand five hundred to twelve retainers of four hundred fifty, giving contract value eight thousand nine hundred. It subtracts only twelve months of thirty six assumed model cost, or four hundred thirty two, yielding eight thousand four hundred sixty eight and margin ninety five point one percent. Bars compare contract and narrow profit at point zero two pixels per dollar. This omits agency delivery, maintenance, support and other costs; it is not complete net profit. Client payback divides setup by intended net savings, approximately one point zero three months, and uses sentinel nine hundred ninety nine when savings are nonpositive. Missing D3 would also block the workflow diagram after successful math, but absent Math fails earlier offline. The video separates hypothetical formula results from stale captions, native subset evidence and local playback without claiming empirical ROI, exhaustive functions or public publication.