Smart Energy Grid Resilience Platform

Developed a Vision AI–enabled Smart Energy initiative focused on improving utility operations through computer vision, sensor data, and AI-assisted monitoring. The work included product definition, market analysis, partner evaluation, pilot planning, and go-to-market strategy.

My involvement

Defined utility use cases, customer problems, and product scope through stakeholder discovery.
Developed the market sizing model, business case, and monetization strategy to support leadership planning.
Evaluated and prioritized pilot candidates, technology partners, and delivery approaches.
Produced the product scope, roadmap, go-to-market strategy, and pilot planning artifacts.
Connected the Smart Energy initiative to the broader Vision AI platform strategy.

Outcomes

Developed market sizing and financial planning models to support executive evaluation of the opportunity.
Evaluated multiple technology partners to identify suitable pilot candidates.
Delivered executive-ready planning materials supporting future implementation and pilot planning.

Related achievements

Roadmap and GTM Model
Built a complete roadmap and go-to-market model, including revenue/monetization structure, ready for execution and presented to executive leadership.
TAM/SAM/SOM Market Sizing
Built a validated TAM/SAM/SOM sizing and product scope for a new computer vision/sensor fusion opportunity in AT&T's energy vertical.
IOU Discovery and Target Account Prioritization
Led stakeholder discovery sessions, ranked IOU pilot candidates, and identified key emerging use cases including grid risk and copper theft detection.
ISV Partner Interviews
Evaluated 6 ISV partners through direct interviews, selecting fits and routing 2 to an adjacent vertical.