The system, applied.
Four deployments, four numbers — and in every case the number came from giving humans more room, not less. Click any Dig deeper for the full story: the friction they picked, what they built, and where the result actually came from.
Composite case studies drawn from real engagements; identifying details altered to protect client confidentiality. The numbers are representative of documented results, not a single named account.
The deployments
Each one ran the same loop: pick the friction, build small, measure honestly, redirect the recovered time.
The professional-services firm
$30M revenueAdded $1.8M in revenue in year one — not by cutting people, but by giving the people they had their week back.
The B2B SaaS company
$100M revenue$3.6M in incremental ARR and $2.4M in retained ARR — by deploying AI to make support and success faster and more human, not cheaper.
The industrial company
$500M revenue$19M of EBITDA improvement — built from ~3% gains that compounded across a large organization, one function at a time.
The engagement they didn't buy
saved, not spentA firm avoided a $1.8M strategy engagement by running the system themselves — and got the same result without the seven-figure fee.
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From Running at the Speed of Light, Case studies, Parts Two & Three · Prometheus Press