Challenge
Dealers needed to act on financial and operational information distributed across complex systems, while the engineering team needed a front-end foundation that could support a growing product surface.
Fintech · Enterprise analytics · Case study
An AI-assisted dealer experience that turns complex financial and operational data into clear workflows, timely signals, and actionable decisions.
My role
Senior software engineer · Team lead

The assignment
Dealers needed to act on financial and operational information distributed across complex systems, while the engineering team needed a front-end foundation that could support a growing product surface.
Organize the experience around dealer decisions instead of source systems, establish GraphQL as the product-facing data contract, and build reusable Next.js patterns for dashboards and AI-assisted workflows.
A more coherent dealer workspace and a stronger delivery foundation for expanding data-heavy product capabilities across the team.
System view
A strong system makes its transformations visible. Each layer has one job and a clear contract with the next.
Financial and operational systems
Unified product-facing contracts
Reusable dealer workflows and dashboards
AI-assisted context and action
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