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title References Index
last-synced 2026-06-07

References Index

21 curated extracts from flagship enterprise AI research, 2024–2026. Each file is sized for skill consumption (200–500 words). The wiki at 02_References/enterprise-ai/ is the source of truth; these files are snapshots.

How skills use these files

Skills reference files by name only — no relative paths. Example pointer in a SKILL.md:

For the NANDA Scope × Execution Grid, consult 95-5-genai-divide.md in the references/ folder.

File listing

File Contents Primary for skill Also consulted by
70-20-10-value-split.md BCG 70/20/10 People/Process/Tech value split people-literacy-curriculum, people-readiness-conversation, people-tool-selection, process-portfolio-observability
95-5-genai-divide.md MIT NANDA 95% zero P&L + Scope × Execution Grid process-pilot-design general-idea-diagnostic, general-peer-cases, tech-buy-vs-build
nanda-tech-buy-vs-build.md 2:1 buy advantage; orchestration-as-moat tech-buy-vs-build general-peer-cases, tech-stack-diagnostic
pwc-roi-2026-governance.md 1.7× RAI advantage; 1.6× vs. 2.6× productivity gap general-maturity-assessment, general-roi-gate, process-portfolio-observability, tech-agent-guardrail
pwc-20-item-checklist.md PwC 10 Do's + 10 Don'ts (full checklist) general-roi-gate process-portfolio-observability, process-productionization, tech-data-deployment
andrew-ng-three-moats.md Three AI moat types (portfolio/industry/virtuous cycle) general-idea-diagnostic, general-use-case-discovery, tech-buy-vs-build
wef-strategic-positions.md WEF/BCG positional choice; strategic dilution risk — (not currently cited by any skill)
pwc-six-step-roadmap.md PwC six-step AI ROI pathway — (not currently cited by any skill)
stanford-51-deployments.md 51 deployments; invisible costs (77%); workflow-redesign-first general-idea-diagnostic, general-peer-cases, general-roi-gate, general-use-case-discovery, people-frontline-engagement, people-tool-selection, process-pilot-design, process-productionization
bcg-manager-modeling.md 88/25 manager role-modeling gap people-frontline-engagement, people-literacy-curriculum, people-readiness-conversation, people-tool-selection
deloitte-cheerleader-to-champion.md CEO champion vs. cheerleader; HR's 5 jobs; 74/21 governance gap general-maturity-assessment, people-frontline-engagement, people-literacy-curriculum, people-readiness-conversation
mckinsey-3x-senior-ownership.md 3× CEO ownership differential; AI high-performer archetype people-readiness-conversation
mckinsey-3-objective-mix.md Efficiency / Growth / Innovation objective mix; 80% efficiency-only general-idea-diagnostic, general-maturity-assessment, general-peer-cases, general-roi-gate, general-use-case-discovery, people-readiness-conversation
imda-4-dimensions-agentic.md IMDA four dimensions of agentic AI governance tech-agent-guardrail people-frontline-engagement, people-literacy-curriculum, process-portfolio-observability, process-productionization, tech-data-deployment
eu-ai-act-essentials.md Art. 4 literacy obligation; risk tiers; deployer obligations people-literacy-curriculum, people-readiness-conversation, people-tool-selection, tech-agent-guardrail, tech-data-deployment
nist-rmf-functions.md NIST AI RMF: GOVERN / MAP / MEASURE / MANAGE people-literacy-curriculum, process-portfolio-observability, process-productionization, tech-agent-guardrail, tech-data-deployment, tech-stack-diagnostic
accenture-maturity-archetypes.md Accenture AI Achievers/Innovators/Builders/Experimenters general-maturity-assessment people-readiness-conversation
mit-cisr-4-stages.md MIT CISR four maturity stages; Stage 3 inflection; DBS/Ping An examples general-maturity-assessment general-peer-cases, process-portfolio-observability, process-productionization, tech-stack-diagnostic
european-fintech-case.md Anonymized fintech case; measurement-gap failure general-idea-diagnostic, general-peer-cases, general-roi-gate, process-pilot-design, process-portfolio-observability, process-productionization
ai-stack-layers.md Six-layer stack diagnostic framework tech-stack-diagnostic tech-buy-vs-build, tech-data-deployment
pilot-discipline-ng.md Cross-source pilot discipline: 90-day cap, pre-deployment metrics process-pilot-design general-use-case-discovery, process-productionization

Additional references in this collection

File Contents
accenture-redeployment-roi.md Three-channel ROI (revenue uplift / labor savings / avoidance); 2/3–1/3 split; AI core case
bcg-future-built.md BCG Future-Built archetype; multi-dimensional investment finding
mckinsey-workflow-redesign.md 3× workflow redesign; AI-bolted-onto-legacy-workflow failure mode
hiten-skill-library.md Hiten Shah: skill library as first AI strategy — the punchline reference
isg-data-foundation.md ISG + Stanford: data as binding constraint; data readiness checklist

How to add a reference

  1. Create a new .md file in this folder following the frontmatter format above
  2. Add a row to this index
  3. Point to it by filename in any SKILL.md that needs it

Source freshness

All files reflect research published 2022–2026. last-synced frontmatter marks the snapshot date. The wiki at 02_References/enterprise-ai/ is the authoritative source.