Framework Library
The named models, scorecards and rules behind how we help teams adopt AI - one shareable card each.
Browse by topic
All frameworks A-Z
Mindset
The Boring AI Manifesto
Mindset
Butler vs Advisor
Mindset
The Human Advantage
Mindset
The Capacity Paradox
Mindset
AI is a Skill, Not Software
Mindset
The Amplification Problem
Mindset
The Sycophancy Trap
Mindset
Cognitive Offloading
Prompting
The Core Four
Prompting
The Deep Research Brief
Prompting
The GOAL Framework
Prompting
The Literacy Gap
Prompting
Ask Me Questions
Risk
The Expert's Advantage
Risk
Where Does It Run?
Risk
Risk Zones
Risk
The Verification Tax
Risk
The Verification Dial
Risk
The Three Tiers of AI Privacy
Risk
The Data Privacy Matrix
Risk
The Vendor Evaluation Card
Risk
AI Drafts, You Sign
Risk
Defensive Programming
Risk
Clean Datasets
Risk
Shadow AI
Risk
The Deterministic-First Cascade
Risk
The Permission Ladder
Risk
Produce vs Act
Risk
The Four Seats
Choosing
RATES
Choosing
The Three Implementation Tiers
Choosing
The €50k Threshold
Choosing
The Four Pillars of Opportunity
Choosing
The Pilot Charter
Choosing
The 30-Day Playbook
Choosing
Scale, Pivot or Kill
Choosing
The Golden Test Set
Choosing
Quick Wins vs Big Wins
Choosing
The Model Selection Matrix
Choosing
Rules Before Guesses
Adoption
The Three Ways of Working
Adoption
The Leadership Literacy Floor
Adoption
The Two Adoption Gaps
Adoption
Make, Sponsor, Escalate
Adoption
The Four Ps
Adoption
The Three-Audience Model
Adoption
The Reduction Trap
Adoption
The Quit Question
Adoption
The 90-Day Scale-Out
Adoption
Tasks, Not Roles
Adoption
The Three Circles
Adoption
The AI Maturity Model
Adoption
Recruit the Sceptic
Adoption
The Complete AI Toolkit
Adoption
The Pipeline Problem
Mindset8
// mindset
The Boring AI Manifesto
The most valuable AI work is boring - not the headline projects.
→ open
// mindset
Butler vs Advisor
AI helps two ways - Butler executes a task, Advisor thinks with you.
→ open
// mindset
The Human Advantage
Four things AI cannot commoditise - your moat as an expert.
→ open
// mindset
The Capacity Paradox
The team most buried in the work has the least time to help fix it.
→ open
// mindset
AI is a Skill, Not Software
Outcomes depend on the operator's fluency, not the tool.
→ open
// mindset
The Amplification Problem
AI does not fix bad inputs - it scales them, with confidence.
→ open
// mindset
The Sycophancy Trap
AI agrees by default - so ask it to attack the plan, not bless it.
→ open
// established concept
Cognitive Offloading
Hand a skill to the machine often enough and you stop practising it - the individual cost of heavy AI use.
→ open
Prompting5
// prompting
The Core Four
Four portable files - Who, What, How, Why - that give any AI your context.
→ open
// prompting
The Deep Research Brief
An eight-part brief for deep-research prompts - GOAL with more rigour.
→ open
// prompting
The GOAL Framework
A four-part structure for a prompt that gets a usable answer.
→ open
// prompting
The Literacy Gap
Same tool, wildly different results - the gap is the operator.
→ open
// common technique
Ask Me Questions
Tell the AI to interview you first, instead of writing the perfect brief.
→ open
Risk & safety16
// risk & safety
The Expert's Advantage
Who checks decides how fast AI can safely go.
→ open
// risk & safety
Where Does It Run?
Every AI system has a venue, and the venue determines where your data goes, what breaks, what it costs, and what it can do.
→ open
// risk & safety
Risk Zones
A traffic-light filter for where it is safe to start with AI.
→ open
// risk & safety
The Verification Tax
If checking the output takes as long as doing the task, the ROI is zero.
→ open
// risk & safety
The Verification Dial
How hard you check AI's work should track its stakes and its track record - not sit at 100% forever.
→ open
// risk & safety
The Three Tiers of AI Privacy
"Cloud AI" is three different things - match each kind of data to the lowest tier of tool that still protects it.
→ open
// risk & safety
The Data Privacy Matrix
Which data is safe to put into which AI tool.
→ open
// risk & safety
The Vendor Evaluation Card
A DIY evidence pack on whether a tool is safe for your business data.
→ open
// risk & safety
AI Drafts, You Sign
AI produces the draft; a named human checks and owns what goes out.
→ open
// risk & safety
Defensive Programming
Wrap unpredictable AI in predictable checks before anything acts.
→ open
// risk & safety
Clean Datasets
Output quality is capped by input quality - clean the data first.
→ open
// industry term
Shadow AI
Staff already use free AI on company data. The risk is already here.
→ open
// risk & safety
The Deterministic-First Cascade
Run cheap predictable rules first; hand only the exceptions to the AI.
→ open
// risk & safety
The Permission Ladder
How much autonomy you give an AI permission to have.
→ open
// risk & safety
Produce vs Act
Does an unattended AI act, or only produce and hand to a person?
→ open
// risk & safety
The Four Seats
A four-role split that keeps AI advice separate from AI action.
→ open
Choosing & ROI11
// choosing & roi
RATES
A five-factor score that surfaces the highest-ROI tasks to automate first.
→ open
// choosing & roi
The Three Implementation Tiers
Three ways to add AI to a process - very different cost, speed and risk.
→ open
// choosing & roi
The €50k Threshold
Only build custom if the problem costs more than this to solve by hand.
→ open
// choosing & roi
The Four Pillars of Opportunity
The four places AI creates value - to look past 'just save time'.
→ open
// choosing & roi
The Pilot Charter
A one-page agreement that defines a pilot before any work begins.
→ open
// choosing & roi
The 30-Day Playbook
A four-week structure that takes a pilot from target to go/no-go.
→ open
// choosing & roi
Scale, Pivot or Kill
The three-way verdict that ends a pilot before it can drift.
→ open
// standard practice
The Golden Test Set
Score the AI against known-good examples before launch, not opinions afterwards.
→ open
// standard practice
Quick Wins vs Big Wins
Earn the big build with fast, cheap, internal wins first.
→ open
// choosing & roi
The Model Selection Matrix
For boring text work the top models are roughly interchangeable.
→ open
// choosing & roi
Rules Before Guesses
If a rule can do the job, use the rule - save AI's best guess for judgement, language and interpretation.
→ open
Adoption & strategy15
// adoption & strategy
The Three Ways of Working
You use a product, you direct a tool, you run a service - whose hands are on the work, and are you in the room?
→ open
// adoption & strategy
The Leadership Literacy Floor
You cannot sponsor AI you have never handled.
→ open
// adoption & strategy
The Two Adoption Gaps
Licences are not adoption. Adoption is not transformation.
→ open
// adoption & strategy
Make, Sponsor, Escalate
Sort every stalled decision into three columns.
→ open
// adoption & strategy
The Four Ps
The four areas every AI strategy has to cover.
→ open
// adoption & strategy
The Three-Audience Model
Translate your AI message three ways - for the Board, IT, and the team.
→ open
// adoption & strategy
The Reduction Trap
Time freed by AI is capacity, not ROI - name the destination or output takes it.
→ open
// adoption & strategy
The Quit Question
One question that surfaces real pilot candidates by asking about pain.
→ open
// adoption & strategy
The 90-Day Scale-Out
What happens after a pilot works - turning it into repeatable practice.
→ open
// adoption & strategy
Tasks, Not Roles
AI removes the dreaded tasks from a role, not the role itself.
→ open
// adoption & strategy
The Three Circles
Three lenses for diagnosing AI adoption - they move together.
→ open
// adoption & strategy
The AI Maturity Model
Where you sit on the AI adoption journey, in five levels.
→ open
// adoption & strategy
Recruit the Sceptic
Enthusiasts show what can work. The sceptic finds what could fail.
→ open
// resource hub
The Complete AI Toolkit
Three free whitepapers, one journey - opportunity, risk, roadmap.
→ open
// adoption & strategy
The Pipeline Problem
Junior work is where seniors come from - automate all of it and the pipeline breaks.
→ open