Drone Innovation Garage (DIG)
An internal rapid-innovation environment for autonomous systems experimentation and mentoring.
Problem / context
Large organizations can execute complex programs at scale, but early-stage concept exploration often struggles against schedule pressure and process overhead. The challenge was to create a practical internal environment where engineers could move from concept to evidence quickly while preserving technical rigor.
Approach
DIG was structured as a rapid learning environment with constrained prototype cycles, cross-disciplinary collaboration, and simulation-first habits. The operating model was intentionally inspired by classic Skunk Works principles: small teams, fast iteration, clear ownership, and direct technical accountability. In practice, DIG functions as a "skunk works inside the Skunk Works" for early autonomous-system concepts and tool development. Efforts emphasized repeatable development loops, transparent decision logs, and mentorship integrated into day-to-day technical work. The model prioritized useful engineering outcomes over presentation-driven demo activity.
Outcome / lessons
DIG improved concept maturity speed and helped teams frame risk earlier in development. It also created a mentorship channel where younger engineers could contribute to meaningful prototype work while learning systems-level reasoning. The biggest lesson is that innovation environments succeed when they produce decision-quality evidence and transition-ready artifacts, not just interesting experiments.
Links
- TODO: Add approved public reference to DIG-style work.
- TODO: Add talk/article link on innovation workflows.