Using AI to Build IP for Political Strategy and Engagement Models

A Case Study Approach to Transformation

In corporate #transformation, work begins with understanding requirements. However, political systems operate in a space without clear models, frameworks, or stated requirements.

That’s where The National Committees (TNC) case study comes in—a chat assistant designed as intellectual property to modernize voter engagement. Hosted within a GPT, the TNC Case Study facilitates political strategy and engagement for a generation that thinks, consumes, and acts differently.

Why Build TNC?

Today's political engagement lacks business models for connecting with digital-first, data-driven audiences who demand more value at lower costs. We created a GPT around the DNC modernization change. (Name change to TNC for the case study).

The Value of Intellectual Property

Intellectual property is powerful and valuable. GPTs like the TNC Case Study introduce a new class of trademarks, copyrights, and patents. Building IP around political engagement models helps make these civic systems more accountable and modern.

Healthy political engagement isn’t just about political parties—it’s a civic and community issue. This case study puts communities and universities at the heart of the transformation process, making them key drivers of change.

#businesstransformation in politics has to start from the ground up—because if the roots aren’t happy, how can the tree thrive? ????

Part 1 - The Backstory as a Case Study (Next post I'll update this link)

Introduction: The National Committee (TNC): Digital Transformation of the Brand Experience and Political Engagement