AI Consulting in Practice
summary
A consulting‑grounded study collecting roughly 2,500 use cases via roervey.ai and experience from Super.ai finds concrete signals: KPMG survey shows agents in production 11% to 42% (Q1→Q3), McKinsey reports only 7% fully at scale, and early submissions report 44.3% modest ROI 37.6% high ROI with ~5% negative. Time savings cluster around 1–10 hours (peaking ~5 hrs/week), coding use cases show above‑average ROI, and risk‑reduction cases are rare (3.4%) but 25% reach transformational impact.
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chapters (8)
- 0:00AI enterprise adoption
- 1:14State of enterprise AI
- 1:45Agent adoption trends
- 4:02Challenges in scaling AI
- 6:10Increased spending and ROI
- 8:22ROI survey findings
- 10:38Use case analysis
- 14:15Risk reduction and automation
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