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The AI Pillar · A working publication on AI for CS operators

You've seen the AI demos for CS. This is about the AI you can actually put to work.

Frameworks, working notebooks, and teardowns for the AI that actually lands inside a CS function — not the keynote version. Below: the five-signal renewal model, as a diagram and as code.


Model · v0.4 · trained on 312 enterprise accounts

The job of any CS model isn't a number — it's an defensible prediction. Inputs on the left are the signals every CSM already collects. Outputs on the right are the only three the business actually buys.

x1
Product usage depth
feature breadth · DAU/WAU
x2
Sponsor engagement
exec touch · multithread depth
x3
Support velocity
P1 frequency · time-to-close
x4
Sentiment delta
NPS · QBR transcripts
x5
Renewal proximity
days to term · auto-renew flag
InputsHidden · 8Hidden · 8Outputs
ŷ₁
Churn risk
0%
ŷ₂
Expansion fit
0%
ŷ₃
Days to escalate
0d

Inside the AI pillar0 pieces · Updated weekly
AI in CS · Flagship

The Five-Signal Model: A Neural Net Your CRO Will Actually Approve

The diagram above is the entire thing. This piece walks the architecture choice, the training data, the calibration curve, and — most importantly — the conversation you have with the CRO the first time it disagrees with a CSM's gut.

Teardowns

Four CS Copilots, Tested Against a Real Renewal Quarter

A methodology-first scoring framework — six dimensions, weighted, scored 1–5 — applied to four representative copilot categories as worked examples. The scorecard is the contribution.


Issue № 07 · AI · May 2026 · Written for senior CS operators · No sponsors