How to Get Started With AI in Your Construction Company

In this video, we speak with technology expert Erin Khan about how construction companies and businesses can approach AI adoption, choose safer first use cases, run pilots, manage project data, and avoid shadow AI. FREE Project Governance Template: https://www.mastt.com/resources/gover... This conversation covers the practical side of AI in construction, from listening to teams and finding real pain points to governance, data privacy, internal training, and responsible AI use. Erin Khan, founder of Erin Khan Consulting and former National Director of Construction Solutions at Suffolk Construction, joins Mastt CEO Doug Vincent to break it all down. If you are trying to move from AI curiosity to action, this episode gives you a clearer path to scaling AI across your business. Chapters: 00:00 Introduction: How construction companies can get started with AI 00:20 Erin Khan's background in construction technology and AEC consulting 01:32 Why construction technology became Erin Khan's focus 03:05 Why technology is inevitable in construction 03:56 Has AI made construction technology adoption harder? 05:28 Why AI adoption exposes weak data foundations 06:36 Why AI change management feels different from earlier construction tech 08:05 What problem do you want AI to solve, and why? 08:51 How to identify AI pain points with field teams and department heads 10:19 Prioritize AI use cases with impact, feasibility, and business value 11:27 What is AI good at, and what should humans still do? 12:21 Good AI use case: Invoice matching and data processing 13:44 Bad first AI use case: Automated construction estimating from drawings 15:20 Why early-career construction professionals still need hands-on training 16:28 Safe first AI use cases vs risky AI use cases 17:12 What does a good AI pilot look like in construction? 18:33 Why AI pilots need end-user demand and innovation champions 20:12 Leadership buy-in, communication, and first-time AI user experience 21:09 Should AI pilots include skeptics and naysayers? 24:24 Real project data vs sandbox data in AI pilots 25:06 Low-risk AI pilots with real meeting notes 25:56 High-risk AI pilots with financial data and live project systems 26:49 What is shadow AI in construction? 28:31 Shadow AI risks, ChatGPT, and confidential bid information 29:22 Why construction needs AI safety and best-practice guidelines 30:56 Erin Khan's AI guidelines: Data privacy, settings, and training data 31:47 Why AI should be treated as a partner, not a source of truth 33:49 How to move from AI pilot to enterprise adoption 35:45 AI governance, success metrics, and knowing when to say no 36:58 Build vs buy vs configure for construction AI tools 38:04 Why model-agnostic and platform-agnostic data systems matter 39:28 Are on-prem construction companies doomed in the AI era? 41:20 Open-source AI models, data sovereignty, and local deployment 42:29 What does mature AI adoption look like in construction? 44:14 AI training, data literacy, and employee competency 44:50 Why mature companies invest in innovation before AI 45:39 Should AI competency affect hiring decisions? 46:49 Hire for AI potential, curiosity, and willingness to learn 49:19 How fast AI adoption is changing in construction 49:56 Where to connect with Erin Khan 🚀 Get Started with Mastt Start for FREE: https://www.mastt.com Product Tour: https://www.mastt.com/product-tour Dashboards & Templates: https://www.mastt.com/template-library 🔔 Stay Connected YouTube:    / @masttglobal   LinkedIn:   / mastt   Facebook:   / masttglobal   Instagram:   / masttglobal   X: https://x.com/MasttGlobal Pinterest:   / masttglobal   TikTok:   / masttglobal   #AIInConstruction #ConstructionTechnology #ConTech #ConstructionManagement #ProjectManagement #ConstructionInnovation #ConstructionAI #AIAdoption #ConstructionProjectManagement #ConstructionSoftware