Proof of Work: AI Value Creation

Stop Buying AI Slop: How Mid-Market Companies Actually Get ROI from AI

Stuart Willson Season 1 Episode 16

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0:00 | 34:44

Arman Hezarkhani is the Co-founder & Managing Partner of Tenex, an AI transformation firm helping middle-market and growth companies turn AI from hype into real P&L impact. Drawing from experience scaling Google’s cloud AI tools and building venture-backed startups, Arman breaks down how leaders can actually operationalize AI — not just talk about it. This episode is a practical guide for investors and operators who want measurable results, fast.

You’ll Learn

Why AI adoption is easy for individuals but structurally hard for organizations — and how to close that gap

How to identify high-ROI AI use cases by starting with business goals, not technology

What “AI slop” looks like in practice and how to avoid wasting capital on vaporware

Why Tenex charges on output (story points) instead of hours — and how incentives unlock 10x productivity

How to get your first AI win inside a company to build momentum and executive buy-in

Chapters

00:00 Intro
00:49 Arman’s background and founding Tenex
02:30 Why AI is different from past tech waves
05:26 What AI changes — and what it doesn’t — in business
07:08 How companies should prepare for an AI-native future
09:01 How Tenex identifies and executes AI opportunities
12:15 Diagnostic process and opportunity mapping
15:13 Why CEO-level buy-in is critical
16:31 The Tenex output-based business model
21:28 Generative AI, agents, and AI-powered software builds
23:25 Avoiding “AI slop” and navigating the AI bubble
27:00 Build vs. buy decisions in an AI world
28:39 Real client example: AI-driven revenue and efficiency gains
33:24 Ruthless focus on business goals
34:02 Advice for new Heads of AI

Links

Proof of Work is the podcast of Pluris, a platform connecting investors and operators with the world's leading applied AI experts. Each episode features the builders, operators, and investors who've actually put AI into production, turning it from buzzword to bottom line through sharp case studies and practical conversations. We explore how AI is used to grow revenue, expand margins, improve operations, and create measurable value inside real businesses.

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