Now Associate Director, People & Change · Protiviti

Making enterprise AI work for the people who use it.

I help organizations move AI and workplace technology from pilot to everyday practice by redesigning the work, the roles, and the teams around it.

Read my story

Where I've done the work

ProtivitiDeloitteAccenture

8ServiceNow HRSD clients taken live

4AI conversational clients taken live

600K+employees reached

What I see in the field

Patterns from a decade of enterprise transformation work.

01Your AI pilot worked. Nobody uses it.The demo impressed leadership, but six months later adoption is flat and the business case is quietly slipping.

02You bought the platform and skipped the change.Licenses are live, but roles, workflows, and incentives still assume the old way of working.

03HR and IT aren't speaking the same language.People leaders own the outcome, technology owns the tools, and the handoff between them is where value disappears.

04You need the muscle in-house, not on rent.Your teams need the playbooks and skills to keep scaling once the consultants leave.

Patterns from my professional work, shared for informational purposes only.

About me

I care most about the people on the other side of the technology.

A chemical engineer turned transformation leader. Nearly a decade at Deloitte building HR technology and AI practices from the ground up, and I've just joined Protiviti's People & Change practice.

MBAColumbia Business School

B.S. ChemENC State University

M.S. ManagementWake Forest University

EN · ESBilingual, Puerto Rico raised

More about me

New York City skyline at sunset with the Empire State Building

How I work

Three habits from building an AI practice inside large enterprises. Each one comes from work that went live.

01Start where it already hurtsSit down with every function and map the work AI could take off people's plates, ranked by impact.At one health insurer, that map became the business case for the AI investment and a use-case roadmap for the journey ahead, replacing tickets and portals across HR, IT, Finance, and Procurement with an agentic front door.

02Prove it smallStart with a small HR-friendly team and let their feedback shape the rollout.At a medical manufacturing leader, a pilot went live in nine weeks, and its feedback shaped the global rollout 12 weeks later.

03Scale people before platformsGrow the team, playbooks, and governance first. Then scale the technology.Employees named the bot early, and ideas from HR town halls set the build priorities. About 80% engaged, and case volume fell 20% within three months.

The views here are my own and do not represent those of my current or any past employers. I do not offer consulting services through this site. Any coaching I provide is focused on career development for students, early-career professionals, and community groups.

Recent field notes

Short essays on how AI actually lands inside organizations.

All insights

The Adoption Gap · Oct 15, 2026 · 7 minWhat the Market Is Saying About Enterprise AI Adoption and Value The Human Layer · May 2026 · 6 minBeyond Resistance: How the Pope's AI Critique Reshapes Our Role as Transformation Leaders The Adoption Gap · May 2026 · 5 minConversational AI Is a Decision Interface, Not a Chat Experience

Making enterprise AI work for the people who use it.

What I see in the field

I care most about the people on the other side of the technology.

How I work

Recent field notes

Building something where AI meets people? Let's talk.