Portfolio case study

Northstar Ridge

Public AI-assisted operations product case study designed and built by Andrew Pella beginning in August 2026.

Role: Product designer and builder

Product challenge

Structure an AI-assisted operational readiness problem

Northstar Ridge uses a fictional equipment-rental scenario to demonstrate how an operational problem can be framed as a product, decomposed into workflows and requirements, and designed with explicit boundaries between human judgment, deterministic controls, automation, and AI assistance.

Approach

From product framing to implementation-ready evidence

Version 1 models Customer Service, Mechanic, and Manager workflows.
Version 2 is planned to add a direct Customer role and customer-facing workflow.
Documented assumptions, requirements, architecture, decision records, synthetic operational data, and validation evidence.
Built a TypeScript / Next.js prototype foundation to demonstrate implementation fluency alongside product leadership.

Evidence

Public portfolio implementation

Provides public portfolio evidence of AI-assisted workflow and product design.
The project uses fictional company data and synthetic operational scenarios rather than employer-confidential or customer information.

Explore the Northstar Ridge source, documentation, and prototype on GitHub.

Related expertise

Continue

Return to the profile, browse all project evidence, review the public resume, or contact Andrew.