Welcome

Héctor Enríquez

AI Revenue Architect

Strategic Advisor in Data & AI Automation.
Guiding Fortune 500 executives to cut through AI hype, align initiatives with business goals, and build revenue-generating AI architectures that deliver measurable impact.




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Cut through the noise. Every week, get real case studies, practical frameworks, and no-fluff insights on how enterprises can turn AI into measurable revenue, not just pilots.

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The M.A.P.S Framework

The M.A.P.S. Framework™ (Mobilize, Analyze, Personalize, Systematize) is a proprietary, business-first methodology designed to help medium and large enterprises (500+ employees, $100M+ in revenue) successfully adopt, scale, and monetize AI initiatives. Unlike most approaches that leave organizations stuck in pilot purgatory, MAPS provides a structured roadmap that tackles the root causes of AI failure—unclear business objectives, poor data quality, lack of integration, cultural resistance, and weak executive sponsorship. By aligning strategy with measurable KPIs, securing C-suite ownership, building strong data foundations, personalizing solutions to the business context, and institutionalizing AI through governance and MLOps, MAPS ensures AI becomes a sustainable engine for ROI and competitive advantage, not just another experiment.