Redesign the Workflow, Not the Task

Uber's engineering leadership ran an experiment: pair 30 of their most AI-proficient engineers with domain experts across finance, legal, marketing, and procurement. Ten days per pod: shadow the work, build an agent, validate it, ship it. Sixteen pods, sixteen functions, two months.

The results: capital allocation analysis across 150 cities dropped from 15 hours to 30 minutes. Financial pacing reports went from two days to ten minutes. But the real lesson wasn't the speed, it was where the speed came from. Automating one task barely moved anything. Redesigning the entire workflow, removing handoffs, cutting approvals no one needed, replacing tools that no longer fit, is what compounded.

What you'll learn:

• Why task-level automation plateaus and workflow-level redesign compounds
• How Uber structured 16 two-week sprints to find the real automation opportunities
• How to spot which of your team's workflows are worth redesigning first

Who should attend:

CIOs, COOs, and transformation leads deciding where to point AI investment next, especially anyone who's automated a task or two and is wondering why the bigger win hasn't shown up yet.

What you'll leave with:

• A framework for finding the workflow, not the task, worth automating
• A short list of questions to ask before greenlighting your next AI project