Turning AI strategy into everyday adoption.

Driving AI personalization adoption at AARP

What I led. I owned the enablement and change-management workstreams that gave marketers the tools to understand and create content for AI personalization — a cross-channel training program with hands-on sessions, video microlearning, a live support channel, AI agents offering real-time support, and regular office-hour check-ins.

The result. Fluency turned into engagement. In a single year, the audience actively engaging with AARP's AI personalization more than doubled across web, app and email, alongside tens of thousands of new digital-permission opt-ins. Members reached by AI personalization consistently viewed more pages, clicked more often, and returned far more frequently than those who weren't — and personalized email measurably lifted repeat visits. The enablement work made that adoption, and the engagement that followed, possible.

Rebuilding HR operations for surgery centers

The problem. Surgery centers were vetting clinical hires by hand — reading resumes and license PDFs, then checking each credential against state boards and exclusion lists one at a time. Slow, error-prone, and a real compliance exposure if a lapsed or sanctioned license slipped through.

What I built. One pipeline carries every applicant from raw resume to a verified, ranked shortlist. A custom Skill reads each resume and license PDF and pulls the structured fields — RN/CST/CRNA license number, NPI, specialties, and years in the OR. Claude in Chrome checks each license against the state board and the OIG exclusion list in real time, flagging anything expired, mismatched, or sanctioned. A plugin writes the scored, verified candidate back into the ATS and drafts the interview invite — no re-keying, no dropped files.

The result. Hundreds of hours of manual work saved. Automating the read-verify-rank pipeline took hand credential checks off the HR team's plate — turning slow, error-prone vetting into a verified, ranked shortlist, so the team spends its time on hiring instead of paperwork.

Scaling an online art store with automation

The problem. A growing online art store ran entirely on manual effort — every order processed, fulfilled, and followed up by hand, and marketing happening only when there was time for it. That ceiling capped how much the shop could sell.

What I built. I automated the store end to end, orchestrated in n8n. A new order routes straight to Gelato for print-on-demand production and shipping, with automated customer updates along the way — no manual re-keying. On the marketing side, Claude drafts listing copy and creative, Mailchimp runs the email campaigns and repeat-customer flows, and new work auto-posts to Meta, Instagram, and Pinterest — so demand keeps coming in on its own.

The result. Sales rose 265% in just two months — with far less hands-on time per order.