Study notesWeek 9: ROI And Running Costs
Enterprise AI, week 9

ROI And Running Costs

Outcomes

What You Can Do By The End

Start here

ROI Is A Simple Formula

The full picture

Cost Drivers: One Time And Running

CostTypeOften missed
Design and discoveryOne timeYes
Data preparationOne timeYes
Licences or usageRunningNo
Hosting and monitoringRunningSometimes
Review and supportRunningYes
Licences and usage

Two Pricing Styles

The unit of usage

What Is A Token

A worked formula

Estimate Monthly Token Cost

requests_per_month = 20000
input_tokens   = 3000   # question + policy text
output_tokens  = 400
# prices are placeholders: read your vendor list
in_price  = 0.000003    # per input token
out_price = 0.000015    # per output token
cost = requests_per_month * (input_tokens*in_price + output_tokens*out_price)
print(round(cost, 2))
Be honest

Measure Time Saved Against A Baseline

METR, 2025

Case: Faster In The Mind, Slower On The Clock

Book the benefit

Saved Time Must Turn Into Something

Name the metric

Benefits Beyond Time

BenefitMetricBeforeAfter
QualityInvoice error ratemeasuremeasure
SpeedReply timemeasuremeasure
CapacityCases per personmeasuremeasure
Low, expected, high

Build The Case With Three Scenarios

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Shared responsibility

FinOps For AI

Efficiency signal

Track Unit Cost

What to remember

Recap

Week 10

Next Week: The Operating Model

Your turn

Questions And Exercise