AI, built for how the work actually happens.

Real projects, built for real operators, not demos designed to impress in a boardroom.

BK Operations App
Flagship Case Study

Streamlining Operations: The BK Operations App

We designed and built a fully functional internal operations app for an international Burger King franchise operator, replacing fragmented paper checklists, verbal handoffs, and siloed systems with a single, manager-first digital hub.

The app focuses on real-world restaurant execution: shift readiness, food safety, labor efficiency, and accountability, without adding friction to already fast-paced operations.

  • Daily shift checklists and punch lists tied to operational standards
  • Real-time issue tracking for maintenance, cleanliness, and equipment
  • Manager notes and handoff summaries between shifts
  • Labor awareness tools aligned with productivity targets
  • Training progression visibility for new and developing team members
  • Visual accountability using photos and timestamps
  • Clean dashboard views designed for quick decision-making under pressure
  • Easy translation options for multi-lingual staff
  • Internal AI assistant, built into the dashboard

Design philosophy: Built for speed, clarity, and adoption. Every feature was designed around how managers actually work on the floor, not how corporate systems assume they do.

Outcome: Delivered to the client and in active use across their franchise operations. Specific deployment details are withheld under client confidentiality, but the underlying architecture extends cleanly to multi-unit operations, franchise oversight, and broader QSR brands.

BK Operations App screen BK Operations App screen BK Operations App screen BK Operations App screen
AI as a thinking partner
Strategic AI Use

AI as a Thinking Partner

AI used as a strategic co-pilot for decision support, documentation, and systems thinking, with a particular focus on adoption for older adults and less tech-fluent teams.

  • Industry-specific implementation versions
  • Adoption-focused rollout for less tech-fluent teams
  • Reframed workflows for modern environments
  • Language and interface tuned for target audiences

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