FrameworksP0
S01S09
AI Transformation Playbook
A practical sequence for pilots, capability building, training and AI strategy.
Put into practiceDraft a one-page AI transformation doctrine.
Open sourceGRI AI / FIELD LIBRARY
From AI interest to measurable business value.
A guided research library for leaders building Human × AI systems: methodology, customer discovery, product, governance, evaluation, experiments and scale.
KNOWLEDGE SYSTEM / 01CURATED
13implementation stages
32curated sources
12people to follow
13week learning route
DATA × METHOD × EVIDENCE
01 / NAVIGATE BY STAGE
The implementation map is the table of contents.
Choose a stage to see only the materials that help make its next decision or deliverable.
02 / SOURCE CATALOG
Read for a decision, not for accumulation.
32sources
ResearchP0
S01S12S13
The 2026 AI Index Report
A rigorous global view of AI capability, adoption, investment, policy and public impact.
Put into practiceRefresh the external evidence base and benchmark assumptions.
Open sourceResearchP0
S01S10
Generative AI at Work
Field evidence on productivity and heterogeneous effects across worker experience.
Put into practiceAdd subgroup analysis to every experiment plan.
Open sourceResearchP0
S01S07S10
Navigating the Jagged Technological Frontier
Shows how performance changes when knowledge work sits inside or outside the model’s capability frontier.
Put into practiceMap task fit, validation and no-go zones.
Open sourceBooksP1
S01S09
Power and Prediction
Explains AI through the economics of prediction and redesign of decision systems.
Put into practiceIdentify the prediction, judgment and action in each use case.
Open sourceResearchP0
S02
Best Practices for Developing and Validating Scales
A systematic guide from item generation to scale development and evaluation.
Put into practiceTurn it into the 62-criterion validation checklist.
Open sourceBooksP0
S02
Scale Development: Theory and Applications
A foundation for construct definition, item design, reliability and validity.
Put into practiceWrite operational definitions and scoring anchors.
Open sourceBooksP0
S03
Competing Against Luck
Frames demand around the progress customers hire a solution to make.
Put into practiceRewrite discovery around missions, triggers and alternatives.
Open sourceBooksP0
S03
The Mom Test
A compact method for learning from past behavior without collecting polite false positives.
Put into practiceRewrite the CEO interview guide before fieldwork.
Open sourceBooksP0
S03S09
Continuous Discovery Habits
Connects desired outcomes, opportunities, solutions and assumption tests in a weekly cadence.
Put into practiceCreate an opportunity solution tree for GRI AI.
Open sourceArticlesP0
S03S09
Recognizing Your Customer’s Purpose Is Key to Growth
Uses customer purpose as the endpoint that organizes journeys and measurement.
Put into practiceAdd purpose and progress signals to the mission portfolio.
Open sourceBooksP1
S04S11
Product-Led Growth
A playbook for self-serve value, time-to-value and product-led acquisition.
Put into practiceDefine the Pulse activation event and upgrade moment.
Open sourceArticlesP0
S04S11
What the Freemium
A practical view of freemium as a deliberate acquisition and monetization system.
Put into practiceDraw the free insight / paid decision boundary.
Open sourceBooksP0
S05S09
Good Strategy / Bad Strategy
Strategy as diagnosis, guiding policy and coherent action—not a list of ambitions.
Put into practiceMake every report identify the governing constraint.
Open sourceFrameworksP0
S06S07S13
AI Risk Management Framework
A use-case-aware operating model organized around Govern, Map, Measure and Manage.
Put into practiceAdd governance and risk evidence to the diagnostic.
Open sourceFrameworksP0
S06S07S08
Generative AI Profile (NIST AI 600-1)
A cross-sector companion for managing generative-AI risks across the lifecycle.
Put into practiceMap GAI risks to controls, owners and evidence.
Open sourceFrameworksP1
S06S13
OECD AI Principles
International principles for trustworthy, human-centred and accountable AI.
Put into practiceUse as a governance cross-check across markets.
Open sourceFrameworksP1
S06S13
EU AI Act — Official Overview
The official risk-based regulatory framework and implementation entry point.
Put into practiceIdentify product roles, risk class and transparency duties.
Open sourceResearchP0
S07
Guidelines for Human–AI Interaction
18 interaction guidelines covering expectations, explanations, correction, feedback and control.
Put into practiceTurn the guidelines into an AI Analyst UX review.
Open sourceFrameworksP0
S07S09
People + AI Guidebook
Actionable patterns for user needs, mental models, explainability, feedback and graceful failure.
Put into practiceRun a Human × AI design review before prototyping.
Open sourceBooksP1
S07
Human-Centered AI
A model for combining high automation with high levels of meaningful human control.
Put into practiceSpecify override, escalation and accountability paths.
Open sourceResearchP1
S03S07
Using LLMs to Generate, Validate, and Apply User Intent Taxonomies
A human-validated approach to accelerating intent-taxonomy construction with LLMs.
Put into practiceDesign an intent corpus and validation loop.
Open sourceFrameworksP0
S08
Evaluation Best Practices
A practical framework for task-specific evals, datasets, graders and continuous evaluation.
Put into practiceCreate the first 50-case eval set and release rubric.
Open sourceToolsP1
S08
Evaluation & Dataset Documentation
Implementation patterns for traces, datasets, experiments and online/offline evaluation.
Put into practicePrototype the evaluation loop and regression dashboard.
Open sourceBooksP1
S09S11
Monetizing Innovation
Design product, packaging and pricing around willingness to pay and value metrics.
Put into practiceTest value before finalizing feature scope.
Open sourceBooksP0
S10
Trustworthy Online Controlled Experiments
A rigorous foundation for experiment design, metrics, statistics and organizational culture.
Put into practiceCreate the standard Living Lab Experiment Card.
Open sourceResearchP1
S10
Quantifying GitHub Copilot’s Impact
A controlled study combining objective task outcomes with subjective developer experience.
Put into practiceMeasure both performance and human experience.
Open sourceBooksP1
S10
Experimentation Works
How to make disciplined experimentation a repeatable organizational capability.
Put into practiceDefine experiment cadence, governance and learning reviews.
Open sourceResearchP1
S01S09S12
Grow Enterprise AI Maturity for Bottom-Line Impact
Research on the organizational challenges between AI pilots and enterprise value creation.
Put into practiceCompare readiness dimensions with the GRI construct map.
Open sourceArticlesP1
S07S09S10
The Technology Behind Rufus
A commerce case spanning conversational discovery, recommendations and product knowledge quality.
Put into practiceMap data, intent and recommendation-quality dependencies.
Open sourceResearchP1
S10S13
Data Science & AI Operations Lab
A reference model for AI operationalization, rigorous impact assessment and industry collaboration.
Put into practiceShape the field-research partnership proposition.
Open sourceResearchP1
S07S10S13
Collaborative AI & Responsibility Lab
Human-driven AI research spanning decision support, interaction and responsible collaboration.
Put into practicePrepare a concrete collaboration brief after field evidence exists.
Open source03 / PEOPLE TO FOLLOW
A multidisciplinary intellectual map.
The library deliberately crosses strategy, economics, HCI, product discovery, experimentation, governance and pricing.
01
Andrew Ng
AI strategy & transformationStart with valuable pilots, then build capability, training and strategy from what the organization learns.
S01S09
02
Erik Brynjolfsson
AI economics & productivityMeasure actual productivity and heterogeneous effects—not tool adoption alone.
S01S10
03
Fei-Fei Li
Human-centered AIDesign AI around human agency, context, trust and social impact.
S01S07S13
04
Karim Lakhani
AI operating modelsAI changes operating models; organizational design and experimentation determine whether value scales.
S01S10S13
05
Saleema Amershi
Human–AI interactionSet expectations, support correction and make feedback and graceful failure part of the product.
S07
06
Ethan Mollick
AI adoption & co-intelligenceTreat AI as a collaborative system and learn through deliberate, role-specific practice.
S01S07
07
Ron Kohavi
Controlled experimentationTrustworthy experiments require strong metrics, statistics, guardrails and an experimentation culture.
S10
08
Teresa Torres
Continuous discoveryConnect outcomes to opportunities and assumption tests through continuous customer contact.
S03S09
09
Richard Rumelt
Strategy & bottlenecksGood strategy identifies the real diagnosis, guiding policy and a coherent set of actions.
S05S09
10
Elena Verna
Freemium, PLG & monetizationDesign acquisition, activation, monetization and retention as one connected system.
S04S11
11
Ben Shneiderman
Human control in AIHigh automation and high human control can reinforce each other when accountability is explicit.
S07
12
Madhavan Ramanujam
Pricing & willingness to payDiscover willingness to pay before product scope hardens, and package around measurable value.
S09S11
04 / 90-DAY IMMERSION
Thirteen weeks. One working artifact every week.
Reading becomes useful only when it changes the project. This route links each learning block to a practical GRI AI deliverable.
Week01
S01
Strategy & thesis
AI Transformation Playbook + Good Strategy / Bad Strategy
OutputResearch Charter and central question
Week02
S01/S02
AI value & readiness
NIST AI RMF + MIT CISR AI Maturity
OutputConstruct map
Week03
S02
Assessment methodology
Boateng et al. + DeVellis
OutputEvidence anchors for disputed criteria
Week04
S03
Customer mission
Competing Against Luck + The Mom Test
OutputFirst five CEO interviews
Week05
S03
Continuous discovery
Teresa Torres + Customer Purpose
OutputMission map and opportunity tree
Week06
S04
Freemium & PLG
Elena Verna + Product-Led Growth
OutputFree/Paid boundary
Week07
S04/S05
Assessment experience
Prototype + 5 usability sessions
OutputPulse prototype and usability evidence
Week08
S05/S06
Architecture & governance
NIST + OECD + EU AI Act
OutputData and governance architecture
Week09
S07
Human × AI
Amershi + Google PAIR + Shneiderman
OutputAI Analyst interaction checklist
Week10
S08
AI evaluation
OpenAI Evals + Langfuse
Output50-case eval set and rubric
Week11
S09
Opportunity & GTM
Rumelt + Monetizing Innovation
OutputOpportunity score and three GTM hypotheses
Week12
S10
Experimentation
Trustworthy Online Controlled Experiments
OutputFirst field experiment design
Week13
S10/S11
Evidence & economics
Generative AI at Work + Jagged Frontier
OutputEvidence synthesis and economics assumptions
FROM KNOWLEDGE TO FIELD EVIDENCE