Case · 2024-2025
Multiple Enterprises
BCG AI Radar survey: enterprise GenAI value creation assessment
Maturity stage
Scaling
Use-case type
Multiple
Function
Multiple
Company size
Enterprise
Evidence
Only 22% advanced beyond POC; only 4% creating substantial value
ROI / outcome figure
Leaders anticipate 2.1x greater ROI than peers
What RAPID would have flagged
Failure mode: Measurement — Inability to track AI outcomes, unclear attribution, or missing baseline metrics that prevent learning and justification
Dimensions a pre-deployment RAPID assessment would have surfaced
- Measurement Maturity (low score < 50%)
Mitigations the framework recommends
- Define success metrics and baselines before deployment (DeLone & McLean IS Success Model)
- Build real-time measurement dashboards tracking AI-specific KPIs
- Isolate AI contribution through A/B testing or controlled rollouts
- Establish quarterly ROI review cadence with executive stakeholders
Dimensions this case illuminates
AStrategic Alignment
Are GenAI investments tied to measurable business objectives?
PPortfolio Balance
Is the AI investment portfolio diversified across risk and return profiles?
More from Multiple
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95% of companies report GenAI pilots falling short
UW academic study (Mistral AI, Salesforce, Contextual AI open-source LLMs) · CASE-012 · Failure
White-associated names preferred 85% vs Black-associated names 9%; demonstrates that off-the-shelf LLMs carry resume-screening bias
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