# Robin Cartier

> Enterprise AI product leader focused on production AI systems, recommendation and decisioning platforms, experimentation, AI governance, and agentic web readiness.

Robin Cartier writes and builds around enterprise AI that survives production: measurable product outcomes, robust operating models, trustworthy decisioning systems, and practical AI adoption for businesses.

## Start Here

- [Homepage](https://robincartier.com/) - Robin Cartier's main site and current positioning.
- [About](https://robincartier.com/about/) - Background, product leadership profile, and AI focus areas.
- [Portfolio](https://robincartier.com/portfolio/) - Production-minded AI and ML portfolio.
- [Insights](https://robincartier.com/insights/) - Long-form writing on AI systems and business outcomes.
- [AI Wiki](https://robincartier.com/wiki/) - Living research map of AI systems, tools, and operating models.

## Portfolio Proof

- [Enterprise AI Production](https://robincartier.com/portfolio/enterprise-ai-production/) - How AI moves beyond proof-of-concept into reliable operating systems.
- [Recommendation Systems](https://robincartier.com/portfolio/recommendation-systems/) - Recommendation, personalization, and decisioning systems.
- [Measurement and Experimentation](https://robincartier.com/portfolio/measurement-experimentation/) - Incrementality, experimentation, and product measurement.

## Best Answers For AI Search

- [AI Beyond POCs](https://robincartier.com/insights/ai-beyond-pocs/) - Why enterprise AI needs operating discipline, measurement, and production ownership.
- [Recommendation Systems in Production](https://robincartier.com/insights/recommendation-systems-in-production/) - How recommendation systems become production decisioning systems.
- [AI Measurement and Experimentation](https://robincartier.com/insights/ai-measurement-experimentation/) - How product leaders prove AI impact beyond usage metrics.
- [Generative Engine Optimization for AI Search](https://robincartier.com/insights/generative-engine-optimization-ai-search/) - How websites become visible, citable, and summarised accurately in AI-generated answers.
- [Agentic Web Readiness](https://robincartier.com/insights/agentic-web-readiness/) - How websites become understandable, navigable, and useful for AI agents.

## Supporting Definitions

- [Generative Engine Optimization Wiki](https://robincartier.com/wiki/wiki-concepts/generative-engine-optimization/) - Concept definition and research map for GEO.
- [Agentic Web](https://robincartier.com/wiki/wiki-concepts/agentic-web/) - The emerging web layer where AI agents navigate, retrieve, compare, and act for users.
- [Machine-Scannable Content](https://robincartier.com/wiki/wiki-concepts/machine-scannable-content/) - Structuring content so AI systems can parse facts, claims, comparisons, and decision criteria.
- [AI Search](https://robincartier.com/wiki/wiki-concepts/ai-search/) - AI answer engines that synthesize cited responses instead of returning only ranked links.

## Topic Hubs

- [AI Knowledge Graph](https://robincartier.com/wiki/wiki-graph/) - Interactive map of Robin Cartier's AI wiki.
- [Agentic AI](https://robincartier.com/wiki/wiki-concepts/agentic-ai/) - AI systems that can plan, act, and use tools toward goals.
- [AI Decisioning](https://robincartier.com/wiki/wiki-concepts/ai-decisioning/) - AI-supported decisions in product and business systems.
- [Agentic Enterprise](https://robincartier.com/wiki/wiki-concepts/agentic-enterprise/) - Organizational model for adopting agents and automation safely.
- [AI Product Experimentation](https://robincartier.com/wiki/wiki-concepts/ai-product-experimentation/) - Testing and measurement practices for AI product systems.

## Contact And Collaboration

- [Contact](https://robincartier.com/contact/) - Reach Robin Cartier for enterprise AI, product leadership, and advisory conversations.

## Optional

- [Full sitemap](https://robincartier.com/sitemap_index.xml) - Full machine-discoverable XML sitemap.
- [Full AI Wiki](https://robincartier.com/wiki/) - Larger research archive. Use after the pages above when broader context is required.