Funnel Amp is led by Sequoia Brown, a technical writer and knowledge management specialist with over 15 years of experience turning complex information into structured, actionable content for B2B clients across tech, finance, and industrial sectors.

Funnel Amp was founded to serve mission-driven organizations intent on improving life on earth with their products and services. This has led to a natural pivot toward focusing on entities in Green Energy and Sustainable Finance deploying AI agents to better support people, solve real-world problems, and build more equitable systems.

Sequoia believes that building high-quality, human-focused AI is not optional; it’s required for a safe, fair, and balanced world. Agentic AI is growing rapidly as an in-demand technology. In the market-wide rush to adoption, she’s recognized gaps between ideation and AI deployment that can lead to reputational harm and legal ramifications for organizations not following best practices.

In her work she seeks to fill this gap with a philosophy that centers thoughtful AI deployment supported by carefully constructed knowledge base architecture.

Sequoia’s approach to knowledge management is grounded in a Master of Library and Information Science degree from Kent State University. This is the same discipline that established the foundational principles of metadata, taxonomy, and information retrieval that RAG systems now depend on.

Her education combined with a background in research white paper and documentation development, knowledge architecture, and UX/UI has presented a natural crossover to the practice of crafting RAG structure.

Using her own quality-focused approach to knowledge architecture, Sequoia has designed a Retrieval Precision Framework that aims for the highest possible retrieval accuracy in agentic AI.

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