01 / About
A rare operator at the intersection of AI product, strategy, and execution.
Danielle Regis is a Deployment Strategist at Palantir and was the CIA's first dedicated AI policy officer. She works at the intersection of technology, people, and culture, where AI actually gets adopted. Cornell engineer, Harvard MBA, and a 2026 "100 Women in AI" honoree.
She began as an embedded software engineer at the CIA, went on to lead the agency's venture partnerships and commercial technology adoption strategy, and helped shape national AI policy alongside the White House (with a product management stint at Google Cloud along the way). Today, pairing Cornell electrical-and-computer-engineering depth with a Harvard MBA and founder experience, she leads AI implementation where most enterprise efforts stall: the messy ground between vision and value. She co-founded LINGO, a STEM education company that reached more than 10,000 students and partnered with NASCAR’s Bubba Wallace to teach coding through racing, and is an International Strategy Forum Global Fellow.
- New Yorker
- Based in Washington, DC
- Black woman in AI
02 / The Thesis
Anyone can comment on AI. I'm the person who tells you whether it will actually land.
Why does technology get adopted, or not? The answer is rarely purely technical. It is about trust, cultural readiness, and whether institutions can absorb it. I have lived all three layers most people only theorize.
Technology
Cornell ECE, embedded-software roots, hands-on LLM deployment. I understand how the thing actually works.
People
First dedicated AI policy officer at the CIA, advisor to senior government leadership. I understand who decides to trust technology, and why. I did policy as a technologist — because you can’t scope where the industry is going without understanding the guardrails.
Culture
Adoption inside the hardest, highest-stakes environments that exist. I treat culture as the real bottleneck, not an afterthought. Proof: at LINGO, a teenager’s first lines of code powered a reaction-time game they played head-to-head against NASCAR’s Bubba Wallace at the school launch. Meet people inside the culture they already love, and adoption follows.
03 / Work & Experience
Palantir Technologies
Leading AI implementation where most enterprise efforts stall: the messy ground between vision and value. Hands-on: I architect the data foundations, ontologies, and LLM pipelines on Foundry and AIP myself — then put the expansion proposal in front of the C-suite.
Central Intelligence Agency
Four roles in a decade, each a level up: embedded software developer shipping firmware on 2–4 week cycles → enterprise program manager delivering multimillion-dollar AI and high-performance computing systems → launcher of the Agency’s first Innovation Investment Fund, brokering partnerships with hundreds of companies and investors → first dedicated AI policy officer, engaging the White House National Security Council on every major federal AI policy action — then a rotation in the CTO’s office, mapping problem sets across every directorate to the commercial solutions and partnerships that could solve them.
STEM education company reaching more than 10,000 students. Partnered with NASCAR driver Bubba Wallace, 23XI Racing, and Leidos to launch In the Fast Lane at Talladega — a coding kit where learners build the sensors a race team uses.
04 / Recognition
Harvard Business School
Master of Business Administration
Cornell University
Electrical & Computer Engineering
05 / htdt.ai
LiveAI moves fast. The only way to keep up is to use it — every day.
That’s what htdt.ai is: How To Do That With AI — practical, real-world workflows for getting things done with AI, documented as I go. I bring AI to enterprises for a living; this is me bringing it home.
06 / Connect
Let's talk about what actually gets adopted.
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