Strategic Context
This section outlines the foundational justification for the EAI Intake & Governance System. It contrasts the current organizational risks associated with ad-hoc AI requests against our targeted product goals. Understanding this context is critical to realizing why we are transitioning from a reactive service-desk model to a proactive, centralized "Single Front Door" governance body.
Executive Summary
The system centralizes intake, evaluation, and tracking of AI use cases. It ensures strategic alignment, prevents duplicated efforts, and provides transparent visibility into the AI lifecycle from ideation to scale.
The Transition: Problem vs. Goal
Click on each current problem to reveal the system's corresponding product goal.
Platform Modules & Lifecycle
Explore the North Star vision of the system's core capabilities. This section illustrates the 8-Phase EAI Journey and the interconnected modules that support it. The architecture is designed to enforce checks and balances at every stage while utilizing AI to reduce manual documentation overhead.
The 8-Phase EAI Journey (Governance Pipeline)
Core Feature Modules
Prioritization Engine Simulation
This interactive matrix visualizes the core logic of module 4.2 (Standardized Intake & Intelligent Scoring). When a new use case is submitted, it is scored on two axes: Value (Revenue impact, Cost reduction, Strategic alignment) and Feasibility (Data readiness, Tech complexity, Risk). The system automatically maps the request into one of four action quadrants, replacing subjective debate with data-driven categorization.
Matrix Classifications
Click "Simulate New Use Case" to plot a random project.
Do Now (High Val, High Feas)
Immediate priority. High impact with clear execution paths.
Quick Win (Mod Val, High Feas)
Low hanging fruit. Good for momentum and team utilization.
Strategic Bet (High Val, Low Feas)
High potential but requires careful investment and risk mitigation.
Low Priority (Low Val, Low Feas)
Reject or defer. Does not warrant immediate resource allocation.
Architecture, MVP & Delivery
Understanding the underlying technology and execution strategy. This section details the specific data flows required to bridge the gap between user intake forms and Jira-ready technical artifacts, alongside the defined MVP scope to ensure rapid time-to-value.
Technical Architecture
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Frontend & Hosting React-based web application hosted on Firebase.
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Authentication Google Auth (restricted to @zendesk.com).
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Database Layer Google Sheets ("Mastersheet" for stakeholder accessibility).
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Document Storage Google Drive API (Auto-creates structured folders per ID).
MVP Scope (Initial Release)
Integrated Core (4.1 - 4.4)
Fully ConnectedPrimary workflow from initial search and intake to prioritization, phase tracking, and decision logging. Single seamless experience sharing the Google Sheets data layer.
Standalone Automation (4.5)
Half-ManualWBS Generation tool included as a functional utility. Automates WBS creation from documents, but not seamlessly integrated with the main intake database for the initial release.