CS
Leon Basin Case Studies Operator-grade proof for founders, CEOs, hiring managers, and technical teams.
Main Portfolio Operator Journal Contact
Proof Layer / Builder-First GTM Systems

Three case studies that show how I build and tighten GTM systems.

These are compact operating stories, not padded resume bullets. Each one shows the problem, the constraints, the system decision, and the business result. One of them also includes a protected blueprint so you can inspect the actual artifact instead of just reading the summary.

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Systems Construction

Project::Sentinel

Problem Enterprise security demand was buried under noisy prospecting and inconsistent qualification.
Constraints Lean team, strict ICP, and no headcount expansion to absorb the mess manually.
System Design Built a two-lane routing model with rule-based qualification, cleaner ownership, and stronger signal preservation.
Result Built a $2M enterprise pipeline with steadier monthly velocity and less wasted SDR effort.
160% Pipeline Growth / 77 Meetings Per Month
Scale Architecture

Project::Delight

Problem One-size-fits-all routing logic was slowing both enterprise and SMB motion at the same time.
Constraints Existing stack only. No extra hiring budget. No appetite for heavy operational drag.
System Design Split enterprise and SMB into parallel lanes with shared governance instead of shared confusion.
Result Scaled inbound and outbound coverage more cleanly without adding headcount to compensate.
Bifurcated Routing / Scaled Efficiently
AI Signal Ops

Project::Aurora

Problem Technical account briefs took too long to produce and signal quality varied too much across researchers.
Constraints F500 security accounts, high accuracy threshold, and no room for generic AI output.
System Design Designed an AI-assisted research pipeline with confidence-gated brief generation, operator review logic, and a clearer signal-to-prediction model for high-trust accounts.
Result Reached 92% intent accuracy while improving research throughput roughly 4x.
92% Intent Accuracy / 4x Research Efficiency
Protected Proof Artifact [Passcode: RESONANCE]

The Nikolai blueprint (NEXUS SRE-002) is the deeper layer behind this case. It shows the actual architectural spec used to align operators, engineers, and leadership around one signal-to-prediction model.

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Context

What these studies are really showing

Across different companies and stages, the pattern is consistent: I am usually brought into a motion where signal is noisy, ownership is blurry, and too much of the system depends on manual recovery work. The fix is rarely more activity. The fix is better interpretation, cleaner routing, and a model people can actually understand.

Google
SurveyMonkey
Fudo Security
Sense
EtherAI
TalSmart