Why I'm Building AI for Politics

I served in the California State Assembly from 2012 to 2016. Before that, I worked campaigns. After, I built a government affairs practice. One thing stayed constant: the operational work is crushing.

Constituent emails pile up. Call follow-ups slip through cracks. Staff burn out chasing administrative tasks instead of doing the work that actually moves votes or policy.

The technology to fix this has existed for years. But political operations are notoriously slow to adopt it. Everyone's running too fast to stop and build systems.

What Changed

In 2024, AI got good enough that the ROI became impossible to ignore. Not "interesting demo" good — actually useful in production good.

A system that transcribes your fundraising call, extracts action items, drafts the follow-up email, and updates your CRM — all within 5 minutes of hanging up? That used to require a full-time staffer. Now it's automated.

A system that enriches every new contact with giving history, business affiliations, and political connections from public records — automatically, without anyone Googling? That's not science fiction. That's running right now.

What I'm Building

I started AutomatedTeams to bring this to campaigns and government affairs operations that don't have enterprise budgets.

The core insight: follow-through wins races, not just money. The campaigns that close donors, thank supporters, and stay on message — they win. AI automation makes that level of execution possible for everyone.

I'll be documenting what I build here. The wins, the failures, and the lessons learned.

If you're running a campaign or government affairs operation and want to talk, reach out: [email protected]

This is the first post in what I'm calling my "build journal" — a log of what I'm working on, what's working, and what I'm learning about AI in political operations.