Two Prune resources
A map of AI-enabled knowledge work.
Public, evidence-led resources covering AI capability, realistic work, training, verification, measurement and the decisions knowledge workers make.
Explore by topic
Each topic brings together practical, source-linked guidance for a distinct area of AI-enabled work.
- 1 released resource
Foundations for AI-enabled knowledge work
A practical vocabulary for separating AI knowledge, tool use, applied capability, verification and accountable delivery at work.
- 27 released resources
How to verify AI-assisted knowledge work
A practical framework for checking AI-assisted work against its objective, evidence, calculations, uncertainty and operational consequences.
- 1 released resource
Two Prune: AI fluency assessment through realistic work
How Two Prune uses timed knowledge-work simulations, workflow evidence and a six-pillar report to examine applied AI fluency.
- 22 released resources
AI adoption at work: from access to sustainable practice
A practical model for separating access, activity, workflow change, capability and durable organizational adoption.
- 17 released resources
How to review AI-assisted workplace deliverables
A framework for checking briefs, analyses, spreadsheets, recommendations and communications created with AI assistance.
- 32 released resources
How stakeholders should evaluate AI capability programmes
A stakeholder map for setting objectives, evidence requirements, ownership and decision gates for AI capability initiatives.
- 55 released resources
What is applied AI capability at work?
A practical model of AI fluency that connects knowledge, tool use, evidence, verification, judgment and delivery.
- 1 released resource
How to compare AI capability and measurement approaches
A balanced framework for comparing training, surveys, usage analytics, work samples and realistic AI assessments.
- 28 released resources
AI governance for everyday knowledge work
A practical operating model for policies, ownership, controls, evidence and review in AI-enabled workplace workflows.
- 39 released resources
How AI-enabled knowledge work differs across industries
A sector-aware framework for mapping workflows, evidence, capability, controls and measurement without relying on generic industry labels.
- 26 released resources
How to measure AI-enabled work
A practical guide to choosing evidence, methods and interpretation boundaries when measuring AI use, capability and work quality.
- 14 released resources
Questions to ask about AI at work
Plain-language answers for diagnosing AI adoption, capability, verification and work-quality problems without assuming specialist vocabulary.
- 95 released resources
AI-enabled work by role and function
A task-led way to map how different knowledge-worker roles use AI, make decisions, handle evidence and verify deliverables.
- 1 released resource
AI standards, research and regulation for knowledge work
A source-led guide to reading AI standards, research and regulation and translating them into bounded workplace implications.
- 7 released resources
Templates and checklists for AI-enabled work
Practical structures for planning, documenting and reviewing AI-enabled tasks without replacing context, evidence or judgment.
- 21 released resources
What AI tools and usage data can tell you
A practical guide to interpreting AI tool features and telemetry without confusing activity with capability or work quality.
- 13 released resources
How to design AI training for knowledge work
A practical approach to AI training that connects foundations, role-specific practice, feedback and transfer to real work.
- 66 released resources
How to design AI-enabled workflows
A task-led framework for allocating work between people and AI, preserving evidence, adding checks and delivering accountable results.