Ana C. Sarmiento

Applied AI Practitioner
Founder at Cabana Media

AI transformation shouldn't live in a slide deck. I partner with media leadership to identify, build, and deploy custom AI solutions that solve for the P&L. No theoretical governance — just production-ready strategy from a veteran Product and Management Consultant perspective.

Applied AI

Where Strategy Meets Execution

01 — AI Strategy
AI Strategy

Offensive and defensive AI roadmaps built for organizations navigating platform disruption, algorithmic volatility, and P&L pressure.

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AI Strategy — Focus Areas
Selected Engagements
  • Offensive tactics to offset Google Zero and bot scraping at a leading publisher. Implemented new SKUs and architected autonomous content workflows.
  • Improved ML algorithms for personalization and recommendation engines by enabling v1 data warehouse, data lake, and data labeling migrations. Merged linear channels into a singular app codebase across web, mobile, CTV, and wearables.
  • Positioned compliance feature as a key product differentiator in a highly saturated digital signature market.
02 — Product Literacy
Product Literacy

Equipping leadership teams with the mental models and vocabulary to make confident product bets in an AI-native media landscape.

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Product Literacy — Focus Areas
Career Highlights
  • 15+ years spearheading product development across 0-to-1 global products in the streaming media space.
  • Built a retention framework adopted company-wide based on personalization ML. Pioneered the first A/B experimentation team focused on the reconnect cohort — boosting paid subscriber rates, conversion, LTV, and ARPU across the in-app experience.
  • On the original Disney+ Product launch team, leading the GTM approach for the US, CA, PR, and LATAM initial rollout. On the original HBO GO Product launch team, defining the early streaming strategy on first generation Apple, Roku, Samsung, and Xbox devices.
03 — Implementation
Operational Implementation

From concept to production. Building the agentic pipelines, tooling, and cross-functional processes that make AI strategy real inside your organization.

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Implementation — Approach
How I Work
  • Develop a cross-functionally aware proprietary Use Case Analysis Framework that maps to your operations to find the highest-impact AI opportunities.
  • Design and deploy agentic workflows, LLM pipelines, and data infrastructure that directly improve unit economics.
  • Build internal AI literacy programs so teams sustain and evolve solutions after engagement closes — no dependency created.
The Proof

Where the Work Has Lived

The Direct Line

Let's Build Something Real

If you're a founder, executive, or operator sitting on an AI opportunity — or an AI problem — I want to hear about it. No pitch decks required.