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Stop measuring AI usage. Start measuring outcomes.
Leaders don’t need another dashboard. They need proof the work moves faster, cleaner, better. Track these 3, ruthlessly: Time-to-decision — how fast a human + AI team gets to “go.” Error rate — defects, rework, compliance misses. Experience quality — NPS/CSAT or equivalent for internal users. Then do the boring, winning thing: Delete one step. Automate what’s left. Reinvest the time into higher-value work. That’s how you bank the AI Dividend —without breaking trust or UX.
Oct 141 min read


AI in the Architecture, Engineering, Construction, and Operations (AECO) Sector
Skilled labor shortages, shrinking budgets, aging infrastructure, evolving occupant expectations, and increasingly stringent sustainability
Feb 94 min read
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