America/Chicago

Revenue systems, rebuilt for AI operations

I'm Luis, a marketing and GTM operations leader in B2B SaaS. A decade designing end-to-end GTM operating models on Salesforce-centric stacks, and now
building AI-native ones: agentic operations repos in production, and a solo-built ML scoring platform in enterprise beta.
ax1om: AI GTM Scoring and Activation

ax1om: AI GTM Scoring and Activation

A solo-built GTM scoring platform in enterprise beta: per-customer gradient-boosted models with SHAP explainability, in-market timing inference, and CRM writeback, running on a stack that costs under $100 a month.
Governing AI Operations Inside a GTM Stack

Governing AI Operations Inside a GTM Stack

Agentic automation reaches revenue-path systems long before anyone writes a policy for it. The registry, write policy, and audit program that turn informal AI operations into a governed function.
Building a Unified Marketing Measurement Practice

Building a Unified Marketing Measurement Practice

How to combine multi-touch attribution, marketing mix modeling, and incrementality testing into one measurement system that survives contact with a finance team.
Designing an ML Lead Scoring Architecture People Will Actually Use

Designing an ML Lead Scoring Architecture People Will Actually Use

Moving from consensus-weighted points models to derived, explainable scoring tiers, and the organizational work that decides whether the model gets adopted or ignored.