Making AI Operant
Across the Enterprise

Matched the bank with a Silicon Valley fintech AI startup specializing in real-time behavioral fraud graphs. Deployed in 9 weeks alongside strategy layer redefining analyst workflows.

Designed an AI strategy roadmap and connected the bank with a generative AI startup for automated portfolio narratives and predictive churn models for at-risk clients.

Evaluated 12 AI startups, selected two for computer vision claims assessment and NLP document processing. Oversaw full implementation and change management.

Built an AI clinical intelligence roadmap and matched the network with a healthcare AI startup providing real-time sepsis prediction integrated with existing EHR infrastructure.

Designed an AI demand sensing strategy and connected with a supply chain startup specializing in low-connectivity environments. Oversaw deployment and local team training.

Rapid startup matchmaking identified a clinical decision support AI from a UCSF spinout. Managed full execution including APRA compliance integration.

Developed an AI infrastructure roadmap and sourced an industrial IoT predictive maintenance startup. Managed full deployment and workforce upskilling across 3 shifts.

Built an AI demand intelligence strategy and matched the company with a demand sensing startup that integrated with their existing SAP environment in under 10 weeks.

Identified a computer vision AI startup with semiconductor-grade inspection models. Ran a rapid POC on 2 lines then oversaw factory-wide rollout across 14 lines in 4 months.

Designed an AI merchandising strategy and matched the retailer with a trend forecasting startup using social signals, search data, and returns to inform buying 16 weeks ahead.

Evaluated 8 personalization AI startups, ran a 6-week live A/B test with top two, deployed winning model with full product integration and team capability transfer.

Built an AI loss prevention roadmap and sourced a computer vision startup with proven retail deployment. Piloted in 40 stores before chain-wide rollout with ongoing oversight.

Provided ongoing AI startup due diligence as a service — leveraging Silicon Valley relationships to give the family office proprietary deal flow unavailable through traditional advisors.

Delivered a cross-portfolio AI opportunity mapping exercise, prioritized 11 use cases by ROI and feasibility, and began execution oversight on top 3 with vetted AI startup partners.

Designed a human-centered AI adoption strategy, selected low-disruption automation tools, and ran a 90-day change management program alongside deployment to ensure team buy-in.

Sourced a climate-AI startup specializing in hyperlocal weather and grid modeling, built an integration strategy connecting their forecasting layer to grid trading systems.

Designed a process optimization AI roadmap and matched with a Stanford-spinout startup specializing in industrial process optimization using reinforcement learning.

Built an AI-driven predictive maintenance strategy using autonomous haul truck telemetry. Matched with a mining-specialized AI startup for deployment across all 4 sites.