Built against the real Suger-provided dataset. $5.05M ARR, $2.61M at risk, 142 overdue renewals, 238 sentiment-unknown accounts — and a 30-60-90 that ships a Week-1 quick-win on Day 5, not Day 45.
Five artifacts. The dashboard is the headline; the four memos are the operating system under it.
Every finding is a workflow gap — each with samples, each with a fix that ships in 30/60/90 days.
The prompt asked for a Maturity score, the top health/prioritization pick, the strongest expansion candidate, and the biggest churn risk. Here they are — one card each, one click to the live row in the dashboard.
create_private_offer(). ARR uplift 2–3× on the same logo, same CSM, same contract cycle.
Every rule in this package is downstream of one governance gate: every account must have a dated contract, a tagged sentiment, and a named owner — before a dashboard exists.
Name the gate before the rule. That's the difference between a CS program that scales past 316 customers and one that drowns in spreadsheet reconciliation at 400. The AI-enablement half of this role lives in the same gate: once capture is clean, MCP agents do the mechanical work, and the CSM spends their day on the 20 accounts where judgment actually matters.
Recent research names the underlying failure mode: Dynamics Blindness — enterprise AI agents operate from a frozen snapshot of workflow state and cannot predict cascading side effects when upstream fields change. A renewal date shifts; agents downstream keep executing stale playbooks. The three-field gate is the fix: it forces the world model to be current before any agent action runs. The CSM's new job isn't to use AI tools — it's to maintain the live world model that makes agents trustworthy.
Each diagram answers a JD question with the real dataset behind it — data model, findings, health, maturity, agents, gate, and the ship schedule.
01 · ThesisThree upstream fields unlock every downstream CS motion.
02 · Data model8 objects, 5-pillar health rollup, priority = risk × log(1+ARR).
03 · Health scoreEach pillar has a measure, a trigger, and the play that fires.
04 · Findings$5.05M book · 52% exposed · 3 fixes ship Week 1.
05 · MaturityDeclarative promotion rules, auto-fired on field change. Target: ≥10/mo.
06 · AI enablement5 agents, CSM-in-the-loop, all writes routed through the capture gate.
07 · Ship scheduleWeek-1 quick-win Day 5. One visible win per pillar, per 30-day window.
Three priors that shape every decision in this take-home.