AT&T AskMaestro — Enterprise AI Intelligence Platform

Designed the end-to-end experience for AT&T's internal AI analytics platform, transforming a reactive chatbot into a proactive decision engine used by analysts and VPs across business units.

Key work included a "Today's AI Insights" feed that surfaces risks, opportunities, and watchlist items before users ask — eliminating prompting friction by 50%. The Risk Detail view shown here combines a trend chart, time-to-breach prediction, forecast bands, recommended actions, and a one-click "Generate Issue Brief" — collapsing what previously required multiple tools into a single actionable screen.

Also designed the AI Design System behind it: response states, confidence indicators, data visualization standards, and engineering handoff documentation ensuring 100% visual consistency at scale.

Impact: 40% reduction in analyst data retrieval time. Role-based interfaces deployed across AT&T's Southern Region wireless operations team.