Tony DiLoreto
Tony DiLoreto

When an AI initiative becomes
a liability, I make it an asset.

The vendor can't deliver. The board wants answers. The initiative that was supposed to transform the business is now a line item on the risk register. I diagnose what went wrong, stabilize the architecture, and give leadership a defensible path forward—before the problem becomes public.

I take on a limited number of advisory engagements at a time.

The pattern is consistent: an organization invests heavily in AI, the initiative stalls or misfires, and the question shifts from "how do we innovate" to "how do we contain the damage." That's where I come in.

Stalled Pipeline

A global cloud platform's AI deployment pipeline had stalled across enterprise accounts. Re-architected the delivery model and recovered $50M+ in at-risk revenue while reducing customer deployment time by 85%.

Platform Failure

The world's largest media agency's global analytics platform was bleeding cost and credibility. Rebuilt the architecture from the data layer up—cutting costs over 30% and compressing months of insight delivery into days.

Data Exposure Risk

Founded Spartera—a secure analytics clearinghouse where organizations monetize proprietary data without surrendering custody. Zero data movement. Full seller control. Now in active pilot with 15+ global data firms.

Eighteen years stabilizing AI and data systems in environments where failure creates regulatory exposure, reputational damage, or both. My work sits at the intersection of deep technical architecture and boardroom-level risk strategy.

Previously Senior AI Architect at Google Cloud, where I worked across financial services, healthcare, and regulated enterprise accounts. Before that, architecture and strategy roles at Adobe and Omnicom serving Fortune 500 data organizations.

Previous Google Cloud · Adobe · Omnicom
Academic M.S. Data Science, Northwestern
Summa Cum Laude
Focus AI Governance · Architectural
Recovery · Production ML

Trusted by leadership teams navigating complex AI, data, and analytics challenges in regulated and high-stakes environments.

Google · Adobe · Bank of America · American Express · Pfizer · Kroger · Albertsons · Wells Fargo · Televisa Univision · Mercado Libre · Toyota · Priceline · TripAdvisor · Mars · Macy's · TD Bank · Iron Mountain · LIV Golf · Highmark Health