This video shows how construction companies should start with AI the right way, from discovery and an AI readiness assessment to vendor research and an AI pilot program. FREE AI Readiness Checklist: https://www.mastt.com/resources/ai-re...

Erin Khan, founder of Erin Khan Consulting and former National Director of Construction Solutions at Suffolk Construction, explains why most AI pilots fail from poor preparation, not a bad AI solution. She takes construction teams through a feasibility and impact matrix, the McKinsey Digital Quotient, SWOT analysis, build versus buy, and Net Promoter Score, citing AI implementation research from Retool, S&P Global, and MIT.

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Chapters:
00:00 Why do most AI pilots fail?
01:44 Erin Khan's four-phase AI pilot program framework
03:05 Phase zero: discovery with a feasibility and impact matrix
05:59 Example AI use cases: meeting minutes, estimating, and in-house AI
07:43 How much AI risk can your organization accept?
09:58 Phase one: AI readiness assessment with the McKinsey Digital Quotient
12:02 SWOT analysis to find gaps before the AI pilot
13:36 Phase two: AI vendor research and build versus buy
16:31 What security questions should you ask AI vendors?
18:03 Vendor alignment questions on success, cost, and data rights
19:52 Choosing the right project and problem for the AI pilot
21:06 Pass/fail metrics and regular check-ins during the pilot
22:39 Phase three: how do you measure AI pilot ROI?
24:39 Net Promoter Score and user feedback on the AI pilot
26:40 Efficiency gains and competitive advantage from AI
28:28 How do you move from AI pilot to rollout?
29:51 S&P Global: 42% of firms scrapped most AI initiatives
30:28 Tell people the why before rolling out AI
31:17 MIT: only 5% of AI pilots deliver real value
33:20 Key takeaways for running an AI pilot program

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