2026년 7월 28일 · 전사 · 노트보기

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In this episode, Hugh Seaton, a seasoned AI strategist for contractors, breaks down everything you need to know—from assessing your current data maturity to building an effective AI roadmap that aligns with your business goals. Discover how leading companies are leveraging AI not just to automate tasks but to elevate human expertise, improve decision-making, and gain a competitive edge.

Today's Guest: Hugh Seaton, Managing Director, Construction | CEO Advisor on AI, Risk, and Decision Governance in the Built Environment

Check Him Out on Linkedin: https://www.linkedin.com/in/hughseaton/

Episode Sponsors: Check Out Trunk Tools: https://trunktools.com/

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노트보기 🔗

00:00:04CEO’s AI Reality Check

00:00:51Consulting, Not Just Software

00:03:11Leadership and AI Buy-In

00:07:13Prototyping the Right Way

00:08:33Automate the Drudgery, Preserve Expertise

00:12:39What Palantir Really Does

00:17:17Data Readiness Before AI

00:22:49Site Tools and Standardization

00:24:44Strategy Before Workflows

00:27:47Costs, Governance, and Token Spend

00:32:33Choosing the Right Model

00:33:01CEO’s Automation Test

00:35:50Learning Your Own Workflows

00:37:55The Personal AI Collision

00:41:56AI Is Still Early Days

00:43:36Capturing Tribal Knowledge

00:47:10Practical PM Experiments

00:48:19Testing AI, Not Trusting It

00:49:56Budgeting for Token Use

00:51:57AI Orgs and Accountability

00:54:33Models Versus Systems

01:00:32Start Small, Move Now

전사 🔗

WEBVTT
00:00:00.330 --> 00:00:03.297
What's the old adage, the best time to plant a tree was 20 years ago and the
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second best is right now?
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I wanted to start with this kind of question of, again, putting ourselves in the seat of a CEO.
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Give us kind of a plain English test, right? How does a CEO recognize a task
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that's actually automatable versus one that just kind of looks like…

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