Policy sprints for
focused strategic learning.
Join a focused cohort when you need more than a reading list. CentPol sprints help you study a hard policy question and leave with a concrete output.
A focused learning format for policy strategy
Each sprint combines curated readings, live discussion, async exercises, peer review, and a final memo or pitch. You do not just consume content; you practice judgment with a serious cohort.
How the sprint works
National AI Strategy Sprint
A five-week sprint for anyone working near national AI strategy: government officials, analysts, educators, civil society, industry teams, and AI governance practitioners.
Why this program exists
Many AI strategies fail because they are too vague, too narrow, or copied from another context. This sprint helps you ask the questions that make a strategy executable: compute, data, institutions, labor, sectors, safety, geopolitics, and metrics.
| Indicator | Value | Status |
|---|---|---|
| Format | Hybrid | Readings + live + async |
| Duration | 5 weeks | Optional Week 2.5 |
| Audience | Policy teams | No coding required |
| Final memo | 2 pages | Decision-ready |
| Final pitch | 3 minutes | Senior-leader format |
A five-week arc from global landscape to strategy memo
You move from the global AI policy landscape into the architecture of a country strategy, then through institutions, sector choices, international posture, metrics, and final synthesis.
Use AU, Stanford HAI, OECD, and Carnegie readings to write a context-grounded urgency narrative.
Map Singapore, Kenya, AU, and ASEAN strategy models to identify explicit pillars, missing pieces, and context signals.
Stress-test strategy under power, compute, talent, donor-dependence, and political-time constraints.
Separate infrastructure, data governance, and institutional machinery so strategy becomes executable.
Choose priority sectors, define Year-1 use cases, assess labor risk, and write a geopolitical posture.
Produce a two-page National AI Strategy memo and a three-minute oral pitch for senior decision-makers.
The CentPol 9-pillar strategy map
You use the same nine-pillar map every week until it becomes a practical diagnostic for reading or designing an AI strategy.
Vision and narrative
A canonical component of an implementable national AI strategy.
Compute and digital infrastructure
A canonical component of an implementable national AI strategy.
Data governance and public data assets
A canonical component of an implementable national AI strategy.
Talent, skills, and R&D ecosystem
A canonical component of an implementable national AI strategy.
Priority sectors and public sector transformation
A canonical component of an implementable national AI strategy.
Governance, ethics, rights, and safety
A canonical component of an implementable national AI strategy.
Institutions and implementation machinery
A canonical component of an implementable national AI strategy.
International engagement and geopolitics
A canonical component of an implementable national AI strategy.
Monitoring, metrics, and review
A canonical component of an implementable national AI strategy.
Two-page National AI Strategy memo
A concise memo with bottom line, context, strategy choices, implementation plan, budget logic, risks, mitigations, and metrics.
Three-minute oral pitch
A spoken briefing that explains why now, the top strategic choices, implementation needs, and the approval ask.
Completed and packaged learning products
These are CentPol learning products with structured curricula, frameworks, and clear participant outputs.
National AI Strategy Sprint
A comparative AI strategy sprint built around national and regional strategy models, including AU, Singapore, Kenya, ASEAN, OECD, World Bank, Carnegie, Stanford HAI, and implementation readings.
Cognitive Orchestration
A full course on assigning the right kind of thinking to the right actor, at the right moment, with evidence, feedback, safeguards, memory, and governance.