Most enterprises do not struggle with experimentation. They struggle with the handoff from isolated pilots to accountable production outcomes. Research from McKinsey’s QuantumBlack consistently shows that the gap between pilot and production is where most AI value is lost.
- Architecture decisions are made without a workforce transition plan.
- Executive sponsors see activity, but not a reliable owner map or ROI path.
- Governance pressure arrives late, after delivery drag has already set in.
As Harvard Business Review has noted in its coverage of AI implementation challenges, the winning move is to align technology, operating model, and workforce decisions before scale pressure compounds.
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