Creating the Empower AI Platform: Turning Vision into Government AI

Bringing together product strategy, marketing, innovation, and go-to-market execution, I helped conceptualize, name, build, and launch the Empower AI Platform — a groundbreaking AI-as-a-Service solution built for the federal government.

A Platform Purpose-Built for Government

The Empower AI Platform is a secure, open-architecture AI-as-a-Service platform designed to modernize how government agencies deploy, scale, and manage artificial intelligence. It was created to meet the growing demand for automation, insight, and decision support across defense, civilian, and intelligence missions.

I helped lead the productization, brand architecture, and go-to-market strategy for the Empower AI Platform — shaping everything from the platform’s identity and narrative to its technical pillars and agency messaging. This included the launch of three core products:

  • Empower AI Leads: AI management system to prioritize programs and track mission ROI

  • Empower AI Advises: Side-by-side AI assistant to accelerate human decision-making

  • Empower AI Works: Hyperautomation engine to streamline service desks, forms, and workflows

My Role in the Platform Launch

“Empower AI wasn’t just a product — it was a vision brought to life across every layer of the company and customer journey.

- Brad Mascho

4

$1.5B

90%+

5x

AI Products Launched
AI Contract Wins
Time and Resource Savings
Faster Than Human Work

Behind the Build: The Empower AI Platform in Action

Explore how we turned strategy into a scalable AI platform through storytelling, product design, and mission-aligned execution.

Bringing the Empower AI Platform to Life

  • Agencies needed secure, scalable AI that could operate across on-prem and cloud environments

  • Leaders wanted real-time insights into the total impact of their AI efforts

  • End-users required accessible AI tools that worked with their day-to-day tasks, not against them

From Concept to Capability:
How Empower AI Delivered:
  • An open architecture designed for modular deployment

  • A continuous learning loop where AI outcomes improve over time

  • Full integration with DevSecOps, MLOps, and legacy systems

  • Aligned with NCI’s proprietary ShaiPE™ methodology