business metrics

A new framework for planning projects that blends AI token costs with human labor rates, breaking work into classes of effort where cost, speed and quality can be optimized across every sub-task.

In September, I burned through an entire GitHub Enterprise token allocation and barely noticed — the overages cost pennies. I rated that moment at 1,000:1. Value to cost. By February, I'm spending $2,000 a week on similar workflows. The ratio is now 600:1 and falling. The window isn't shut. But it's moving. Here's what I think is driving it, and what I'm planning for when it closes.

tldr; – Just Download the Spreadsheet

I put together an Excel spreadsheet that does all the calculations I am going to explain below. If you don’t need to know how the sausage is made, feel free to download it and plug in your numbers.Download here: ROI Calculator.xlsx

I am looking forward to speaking at the Georgia Annual ISSA Meeting on 11/15. The blog series that the talk is based on is below.

When I was leading the Network Security Group at the US Naval Postgraduate School, I was overwhelmed with the degree of failure we experienced. The amount of events, complexity of investigations and immature security infrastructure created an environment of perpetual failure. After gathering the basic business metrics I discussed in Metering Incident Response 101 I decided it was time to push the problem up the chain of command.

A core tenet to success in any endeavor is defining, collecting and analyzing core metrics. Incident Response teams can only develop plans that lead to success when it can be defined and metered. Understanding and collecting two key metrics can aid in defining, metering and reporting on success.