Just Curious: Applied AI for Value Creation

How Sunrun Found $80M in Hidden Costs by Finally Understanding Its Data

Stuart Willson Season 1 Episode 17

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0:00 | 38:20

Adam Schwartz, Co-founder and CEO of Parable, explains why most enterprise AI initiatives fail before they ever touch the P&L. Drawing on firsthand work with Fortune 500 and private equity–backed companies, he breaks down how hidden operational inefficiencies block real transformation—and what leaders must measure to unlock durable AI-driven value.

You’ll Learn

  • Why executives consistently misjudge how teams actually spend their time—and how that blind spot derails AI strategy
  • How “keep-the-lights-on” work and operational debt quietly consume 50–70% of enterprise capacity
  • Why data warehouses and dashboards lack the context required for effective AI agents and decision-making
  • How mapping work at the activity level enables AI use cases to be prioritized by ROI, not intuition
  • What Sunrun uncovered when it quantified technical and operational debt—and how that led to $80M+ in savings

Chapters

00:00 Intro
01:33 Why leaders lack visibility into real work
05:12 The hidden cost of “keep the lights on” work
09:10 Why data warehouses fail at operational understanding
13:20 What a contextual work graph actually looks like
18:29 Measuring AI impact beyond adoption
23:46 Operational debt and resource allocation
30:01 Sunrun case study: uncovering $80M in inefficiencies
35:43 AI vs. process change—what to automate and why
41:57 The mindset shift leaders need for AI at scale

Links


Just Curious is the content and podcast brand of Pluris, helping leading operators and investors cut through a noisy AI market and find the right partners — from strategy and assessments to full-stack AI development. Our network of applied AI experts spans generative and agentic AI, workflow automation, and custom AI-powered software, helping teams turn curiosity into measurable value.

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