Independent analysis by Sapience. Not affiliated with, sponsored by, or endorsed by any organisation whose work is assessed here.
How we read a frameworkStrategy Library
A coverage map of AI strategy frameworks
Every major AI playbook is built to answer a particular question. This library reads each one through the Five Forces of Enterprise AI Strategy, so you can see what it covers in depth, what it treats lightly, and what it leaves for you.
This is a reference library, not a ranking. We map each framework against the same five forces, then leave the choice with you. Strategy frameworks carry a total coverage number out of 25; companion references deepen one discipline and carry no total.
How to use this library
- See what exists. A neutral inventory of the playbooks leadership teams are actually handed.
- Start from a force. Pick the pressure you need to strengthen. See which playbooks treat it in depth, and which leave it open.
- Find the complement. A low number on one force is a scope decision, not a flaw. Follow it to the playbooks that cover that force properly.
- Judge actionability separately. Coverage is not the same as a recipe. Coverage and Actionability are shown as two signals for every force.
Browse by Force
External human pressure: customers, the talent market, public sentiment, and the demand for work that still means something.
Looking for stronger coverage in Human Needs & Aspirations?
These playbooks treat Human Needs & Aspirations in depth. They are listed here because they extend the ones that leave this force open, not because they outrank them.
Accenture
Total Enterprise Reinvention
Generative AI as a catalyst for reinventing every function, guided by five imperatives for the C-suite, starting with lead with value.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
McKinsey & Company
Rewired
Rewire the enterprise around six reinforcing capabilities to turn digital and AI into lasting business value.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
OpenAI
AI in the Enterprise
Seven lessons from frontier companies on adopting AI at scale, each shown through a customer story.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
UK Government
Artificial Intelligence Playbook
A consistent approach to help public sector organisations harness a wider range of AI technologies safely, effectively and responsibly.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
AICD and Human Technology Institute
A Director's Guide to AI Governance
Equip boards to navigate AI with confidence, balancing innovation with responsibility, including an awareness of the human impact.
- Human needs Human needs: coverage 2 of 3, actionability 2 of 2
Deloitte
Trustworthy AI Framework
Develop ethical safeguards across seven key dimensions, with governance and compliance throughout the AI lifecycle.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
IMDA Singapore
Model AI Governance Framework for Agentic AI
A structured overview of the risks of agentic AI and the emerging practices for managing them.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
KPMG
Trusted AI Framework
Guide how AI systems are managed across the AI lifecycle in a responsible and ethical manner, to accelerate value with confidence.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
National AI Centre (Australian Government)
Guidance for AI Adoption
Six essential practices for safe and responsible AI use, from deciding who is accountable to maintaining human control.
- Human needs Human needs: coverage 2 of 3, actionability 2 of 2
SAP
AI Ethics Handbook
A practical guide to applying SAP's Global AI Ethics Policy across the AI lifecycle.
- Human needs Human needs: coverage 2 of 3, actionability 2 of 2
World Economic Forum
Advancing Responsible AI Innovation: A Playbook
Close the responsible AI implementation gap with nine plays across strategy, governance and organisational dimensions.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
NIST
AI Risk Management Framework
A voluntary framework to help organisations manage AI risks and promote trustworthy and responsible AI.
- Human needs Human needs: coverage 2 of 3, actionability 2 of 2
OECD
OECD AI Principles
Promote use of AI that is innovative and trustworthy and that respects human rights and democratic values.
- Human needs Human needs: coverage 3 of 3, actionability 1 of 2
How to read the signals
- Coverage
How far the framework covers this force.
- 0 Not addressed
- 1 Acknowledged
- 2 Developed
- 3 Deep treatment
- Actionability
How far it tells you what to do.
- 0 No practical guidance
- 1 Directional
- 2 Implementable
High coverage with low actionability means the force is taken seriously as analysis, not as a recipe. That is useful information, not a demerit.
We rate coverage, not quality. Silence on a force is a design choice. It becomes a problem only if that playbook is the only lens you have. A strategy framework's total out of 25 is the sum of its ten signals: it measures coverage through this lens, not quality.
Strategy frameworks
Accenture
Total Enterprise Reinvention
Generative AI as a catalyst for reinventing every function, guided by five imperatives for the C-suite, starting with lead with value.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
Boston Consulting Group
Deploy, Reshape, Invent and the 10-20-70 rule
Three AI value plays (Deploy, Reshape, Invent), paired with the 10-20-70 rule for where transformation effort belongs.
- Human needs Human needs: coverage 1 of 3, actionability 0 of 2
Databricks
AI Maturity Model
A structured approach to assess current AI capabilities, identify areas for improvement and create a strategic roadmap across six pillars.
- Human needs Human needs: coverage 1 of 3, actionability 1 of 2
IMDA, SkillsFuture Singapore and Workforce Singapore
AI for Enterprise Impact Playbook
A structured navigation tool that matches your business to the right enterprise and workforce support, based on where you are today.
- Human needs Human needs: coverage 0 of 3, actionability 0 of 2
McKinsey & Company
Rewired
Rewire the enterprise around six reinforcing capabilities to turn digital and AI into lasting business value.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
Microsoft
Cloud Adoption Framework for AI
Guidance for taking AI from strategy and planning to governed, production-scale use on Microsoft platforms.
- Human needs Human needs: coverage 1 of 3, actionability 1 of 2
MIT CISR
Enterprise AI Maturity Model
Help leaders make sense of the chaos and understand how enterprises create value with AI, across four maturity stages.
- Human needs Human needs: coverage 1 of 3, actionability 0 of 2
OpenAI
AI in the Enterprise
Seven lessons from frontier companies on adopting AI at scale, each shown through a customer story.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
UK Government
Artificial Intelligence Playbook
A consistent approach to help public sector organisations harness a wider range of AI technologies safely, effectively and responsibly.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
Companion references
Companion references often cover the outside world more fully than strategy frameworks, because governance faces outward by nature. Use them together.
Trust & governance
AICD and Human Technology Institute
A Director's Guide to AI Governance
Equip boards to navigate AI with confidence, balancing innovation with responsibility, including an awareness of the human impact.
- Human needs Human needs: coverage 2 of 3, actionability 2 of 2
Deloitte
Trustworthy AI Framework
Develop ethical safeguards across seven key dimensions, with governance and compliance throughout the AI lifecycle.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
IMDA Singapore
Model AI Governance Framework for Agentic AI
A structured overview of the risks of agentic AI and the emerging practices for managing them.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
KPMG
Trusted AI Framework
Guide how AI systems are managed across the AI lifecycle in a responsible and ethical manner, to accelerate value with confidence.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
National AI Centre (Australian Government)
Guidance for AI Adoption
Six essential practices for safe and responsible AI use, from deciding who is accountable to maintaining human control.
- Human needs Human needs: coverage 2 of 3, actionability 2 of 2
SAP
AI Ethics Handbook
A practical guide to applying SAP's Global AI Ethics Policy across the AI lifecycle.
- Human needs Human needs: coverage 2 of 3, actionability 2 of 2
World Economic Forum
Advancing Responsible AI Innovation: A Playbook
Close the responsible AI implementation gap with nine plays across strategy, governance and organisational dimensions.
- Human needs Human needs: coverage 2 of 3, actionability 1 of 2
World Economic Forum
AI Agents in Action
Clear agent guidelines, enforceable authorization profiles and a phased adoption life cycle from pilot to scale.
- Human needs Human needs: coverage 1 of 3, actionability 0 of 2
| Framework | Publisher | Section | Human needs |
|---|---|---|---|
| Total Enterprise Reinvention | Accenture | Strategy | Coverage 2, Actionability 1 |
| Deploy, Reshape, Invent and the 10-20-70 rule | Boston Consulting Group | Strategy | Coverage 1, Actionability 0 |
| AI Maturity Model | Databricks | Strategy | Coverage 1, Actionability 1 |
| AI for Enterprise Impact Playbook | IMDA, SkillsFuture Singapore and Workforce Singapore | Strategy | Coverage 0, Actionability 0 |
| Rewired | McKinsey & Company | Strategy | Coverage 2, Actionability 1 |
| Cloud Adoption Framework for AI | Microsoft | Strategy | Coverage 1, Actionability 1 |
| Enterprise AI Maturity Model | MIT CISR | Strategy | Coverage 1, Actionability 0 |
| AI in the Enterprise | OpenAI | Strategy | Coverage 2, Actionability 1 |
| Artificial Intelligence Playbook | UK Government | Strategy | Coverage 2, Actionability 1 |
| A Director's Guide to AI Governance | AICD and Human Technology Institute | Companion | Coverage 2, Actionability 2 |
| Trustworthy AI Framework | Deloitte | Companion | Coverage 2, Actionability 1 |
| Model AI Governance Framework for Agentic AI | IMDA Singapore | Companion | Coverage 2, Actionability 1 |
| Trusted AI Framework | KPMG | Companion | Coverage 2, Actionability 1 |
| Guidance for AI Adoption | National AI Centre (Australian Government) | Companion | Coverage 2, Actionability 2 |
| AI Ethics Handbook | SAP | Companion | Coverage 2, Actionability 2 |
| Advancing Responsible AI Innovation: A Playbook | World Economic Forum | Companion | Coverage 2, Actionability 1 |
| AI Agents in Action | World Economic Forum | Companion | Coverage 1, Actionability 0 |
| AI Risk Management Framework | NIST | Companion | Coverage 2, Actionability 2 |
| OECD AI Principles | OECD | Companion | Coverage 3, Actionability 1 |
Coverage and Actionability are independent signals for each force. A strategy framework's total out of 25 is the sum of its ten signals; companion references carry no total.
Most playbooks are strong on execution and thin on the forces the enterprise does not control.
That pattern is a design choice, not an indictment. The useful question is whether your own strategy inherited the same shape.
Does your AI strategy have blind spots?A short diagnostic. You see your archetype on screen. The written Gap Report is optional.
Running this with a leadership team? Ask about the organisational survey.