OpenPermit (Green Tape Initiative)

Generative AI Product Manager

Overview

Led product strategy and development for OpenPermit, an AI-powered feedback and insights platform designed to improve Boston's permitting process through structured classification, public transparency, and data-informed policy recommendations.

Role: Generative AI Product Manager
Timeline: Sep 2025 – Dec 2025
Team: Burnes Center Product Team × Boston Mayor's Office of Innovation & Technology
Tools: Figma, Neo4j, Python, OpenAI API, Notion, Miro

Responsibilities

Designed and scoped a citywide AI feedback classification system across five core categories (Economic & Equity, Communication & Service, Technology & Access, Process & Operations, Policy & Rules Clarity).
Developed prompt architectures and evaluation workflows to improve multi-label classification accuracy.
Collaborated with city stakeholders through weekly research sessions and iterative user testing.
Built Figma prototypes and dashboard concepts for internal staff and public-facing transparency tools.
Explored graph database integrations (Neo4j) to model relationships between feedback themes and policy areas.
Prepared strategic presentations for senior city leadership and cross-agency stakeholders.

Research Overview

Research activities

Stakeholder Interviews
Feedback Taxonomy Design
AI Prompt Engineering
Dashboard Prototyping
Policy Insight Mapping

Process

Project artifacts

Internal Staff Dashboard — Feedback Database

Outcome

OpenPermit established a structured framework for analyzing resident and business feedback within Boston's permitting transformation initiative. The platform enabled categorization of complex qualitative input into actionable policy insights, supporting improved transparency, operational efficiency, and more equitable access to city services.