SHAINA GONZALES / SOFTWARE ENGINEER
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General Motors / 05

TAD Workflow Automation

GM's firewall request process depended on lengthy approval cycles, disconnected enterprise systems, and manual operational handoffs that could take up to two months. TAD was designed to centralize the workflow, connect its supporting systems, and create a more automated technical path from request to outcome.

My role API Integration & Workflow Automation Contributor
Enterprise APIs JavaScript Slack API Confluence API Workflow Orchestration

01 / The problem

What needed to change.

GM's firewall request process depended on lengthy approval cycles, disconnected enterprise systems, and manual operational handoffs that could take up to two months. TAD was designed to centralize the workflow, connect its supporting systems, and create a more automated technical path from request to outcome.

02 / My contribution

Where I made a difference.

  • Mapped the end-to-end firewall request flow, system handoffs, dependencies, and automation opportunities.
  • Researched and supported enterprise API integrations across GM systems.
  • Worked with Slack, Confluence, Gleam, and additional enterprise platform Enterprise APIs.
  • Contributed JavaScript and integration-focused technical work supporting the connected workflow.
  • Helped establish the orchestration groundwork for a faster, more scalable request process.

03 / Product capabilities

What the product supported.

  • Centralized request workflow
  • Enterprise API integrations
  • Cross-system orchestration
  • Automated operational handoffs
  • Connected knowledge and collaboration tools
  • Infrastructure request optimization

04 / Outcome

Why it mattered.

The connected technical workflow helped reduce firewall processing timelines from as long as two months to days while creating a more scalable foundation for enterprise infrastructure requests.