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AI Workforce Platform

A connected AI workspace brings support, internal operations, and client intake into one system. I designed citation-backed answers, approval gates, and role-aware access across web and desktop.

Lead full-stack and AI product engineerIn developmentAI / ML / Full Stack / Infrastructure
AI Workforce Platform interface preview

What I built

Support and operations workflows share retrieval, human review, integrations, and delivery across web and desktop clients.

  • Ingests knowledge for retrieval-backed answers with citations
  • Routes support work through approval-aware, role-aware workflows
  • Connects web and desktop operations surfaces to API services
  • Records reporting events so operational work can be reviewed

My role

Lead full-stack and AI product engineer

How it works

  • Next.js and React console
  • FastAPI services and background work
  • PostgreSQL, pgvector, and Redis

Key decisions

  • Use citations to make retrieval-backed answers reviewable
  • Keep approval gates for consequential workflow actions

What I tested

  • API tests and frontend builds
  • Playwright coverage
  • CI workflow checks

Limitations and next steps

Client intake is still an early module and is not presented as production-ready.