
Equipment Tracking
Highlight
Phase 1 In Build, Framework Proposed & Approved, Phased Rollout Plan.
Defined Azuga's AI integration framework from scratch, identifying where AI solves existing problems in existing workflows, not where it looks impressive on a roadmap
Problem
Every team wanted AI. Nobody knew what that meant beyond a chatbot. Adding AI on top of existing workflows as a separate window would create one more thing users had to learn, solving little they were already struggling with.
Hidden Insight
AI doesn't need new infrastructure to be valuable, it needs the right problem. The highest-value AI moments were already hiding inside workflows users were abandoning, data they couldn't interpret, and decisions they were taking too long to make.
Solution
Audited existing workflows with all teams to identify where low-hanging fruit were:
Defined a framework for AI integration — high-value use cases ranked by user impact and technical feasibility
Designed AI to live inside existing dashboards, Livemap, reports, and workflows not as a separate layer
Recommended which features to build first and why , giving engineering a clear, defensible starting point
Date
Mar, 2026









































