INDUSTRY:
SaaS
CLIENT:
ProtoPie
YEAR:
2025
EXPERIENCE:
AI Resource Development

AI Enablement Ecosystem
about.
SPARK (Shared Prototyping Answers and Resources Knowledge-base) is an AI-powered learning system engineered to transform static technical documentation into dynamic, role-specific commercial enablement. Built with Node.js, Retrieval-Augmented Generation (RAG), and deployed on Render, the platform centralizes fragmented enterprise data into a unified, high-precision knowledge hub. Utilizing a four-layer Source Stack architecture (spanning brand identity, market research, active project data, and output generation), SPARK grounds AI responses directly in real-world operational context. Integrated with Notion as its primary database, the platform allows subject matter experts to manage content dynamically, while delivering instant technical guidance and customized, practical learning paths complete with accessible templates.
challenge.
An internal assessment revealed that information silos and fragmented documentation were creating severe friction for commercial teams during onboarding and technical sales conversations. Static documentation made it difficult for client-facing staff to navigate complex technical solutions, leading to prolonged onboarding cycles and delays during high-stakes customer interactions. The organization needed a scalable way to democratize sophisticated technical knowledge, allowing commercial staff to generate role-specific guidance in the flow of work without relying on engineering teams for constant manual updates.
result.
SPARK cut commercial onboarding time by 50% while establishing an agile, sustainable knowledge ecosystem. Beyond providing instant, grounded answers to complex technical inquiries, the system allowed users to input their industry, skill level, and learning objectives through a custom modal to generate tailored learning paths paired with actionable templates.
By leveraging Notion as the database, ownership was placed directly in the hands of the Creative Technology team. Supported by a bi-weekly "Champions Community" where Creative Techs reviewed and added emerging material, the platform maintained high-precision RAG outputs and guaranteed that commercial enablement stayed continuously aligned with the latest product capabilities.



