HUMANISE Framework v2.1
Humanise: a way of seeing what people, organisations and technology are each good for.
I built Humanise over ten years of watching change succeed and fail. The pattern was nearly always the same. The strategy was fine. The technology was fine. The capability to carry it out, in the people and in the organisation, wasn't there, and nobody had looked.
The HUMANISE capability architecture maps 195 capabilities across eight organisational pillars, drawing from an underlying research synthesis of 82 human and 63 AI capabilities, alongside organisational capabilities required to make them work together.
For leaders
For leaders
In coaching, the framework is a mirror. Clarity, judgement, choice, agency and relationship are the five human capabilities that matter more as AI does more of the doing. We look at which of yours are strong, which are tired, and which you've been quietly handing over.
Explore coachingWhy readiness matters
Transformation is more than a strategy.
You can have a great strategy.
You can have great technology.
But if your organisation does not have the right capabilities, transformation will struggle.
HUMANISE helps you see where you are strong, where you are exposed, and where you need to focus.
HUMANISE does not give you the strategy.
It shows you where the strategic work needs to happen.
The assessment helps you find the areas that may hold your organisation back.
Then you can decide what needs to change.
AI and transformation
AI is part of the change. Not the whole story.
AI is changing what organisations can do.
But technology alone does not create transformation.
You also need people, skills, judgement, culture, systems and good ways of working.
How it works
A diagnosis, not a verdict
Take the assessment
Forty questions across the eight HUMANISE pillars, answered one at a time as the organisation behaves today.
See the diagnosis
Understand where you are strong, where you are exposed and which capability constraints deserve leadership attention.
Focus the work
Use the findings to shape the strategic work that follows — without pretending the assessment writes the strategy for you.
For organisations
- 8
- Pillars
- 40
- Questions
- 195
- Mapped capabilities
- 3
- Diagnosis views
Sample result
Northfield Mutual · 2,400 colleagues
2.7/5
- Habits2.4
- Understanding3.2
- Market2.8
- Activation2.2
- Know How2.0
- Identity3.6
- Service3.0
- Enablers2.4
Capability constraint: Know How — learning is being offered, but applied capability is not yet visible in the work.
Capability inventory
Before you buy capability, find the capability you already have.
The job description isn’t a capability map.
Capabilities do not always sit neatly inside job titles. Someone in marketing may be great at strategy. Someone in operations may be great at systems thinking. Someone in customer service may know your customers better than anyone else. Look at what people can actually do. Not just what their job description says.
01
Human capability
What must humans increasingly own?
02
Technology capability
What can technology increasingly do?
03
Human–technology allocation
Who should do what? Who checks it? Who can override it? Who remains accountable?
04
Organisational capability
What must the organisation build?
Strategic human capability
As technology gets better at doing, human capability becomes more important in deciding.
Clarity
Know what matters, which problems are worth solving and what success means.
Judgement
Know what to trust, when context is missing and when a decision needs human ownership.
Choice
Decide what to pursue, what not to automate and where to be deliberately selective.
Agency
Retain ownership of consequential decisions, accountability and the ability to override.
Relationship
Create trust, empathy, connection and repair where human interaction creates value.
For organisations: the eight pillars
Habits
Culture, psychological safety & sustainable change
Habits measures whether leaders visibly experiment, whether people feel safe enough to question, try and learn, and whether transformation is paced in a way the organisation can sustain.
5 assessment questions
Explore the capability architectureHUMANISE core capabilities
- Psychological safetymake it safe to question, experiment and disagree
- Leadership modellingvisibly demonstrate expected behaviours
- Fear-to-learning mechanismssurface and work with transformation fears
- Sustainable transformation pacingchange at a humanly sustainable rate
- Experimentation habitslearn through low-stakes use and feedback
Human capability
Psychological safety · Experimentation · Dialogue · Confidence calibration · Adaptability · Resilience · Self-awareness · Feedback seeking · Learning from failure · Sustainable pacing
Technology capability
Accelerate experimentation · Generate alternatives quickly · Provide immediate feedback · Surface behavioural patterns · Analyse sentiment at scale · Provide always-on assistance · Personalise learning · Automate routine work · Detect patterns · Accelerate iteration
Human–technology allocation question
How do we use AI to increase human capacity without accelerating a broken culture?
Understanding
Strategy, judgement, evidence & measurement
Understanding measures whether intent is documented and current, whether evidence is interpreted with discipline, whether value is measured in ways that fit the business, and whether governance is designed into the operating model from the start.
5 assessment questions
Explore the capability architectureHUMANISE core capabilities
- Adaptive strategyrefresh strategy as technology, markets and assumptions change
- ROI measurementchoose the payback model that fits the business
- Organisational structuremake decision rights explicit
- Portfolio approachbalance quick wins, bets and capability building
- Governance architecturedesign governance before technology architecture
Human capability
Strategic clarity · Problem selection · Premise awareness · Critical thinking · Epistemic discipline · Verification · Contextual judgement · Trade-off judgement · Uncertainty management · Confidence calibration · Strategic selectivity · Decision ownership · Value-based judgement · Measurement judgement
Technology capability
Generate recommendations · Generate alternatives · Identify patterns · Analyse trends · Predict outcomes · Generate scenarios · Compare options · Synthesise information · Provide analytics · Test logical consistency · Surface anomalies · Optimise objectives · Provide reasoning · Accelerate decision preparation
Human–technology allocation question
What should we ask AI to analyse, what should humans decide, and what evidence is sufficient to act?
Market
Customer understanding, trust & agency
Market measures how well you understand changing customer discovery behaviour, manage trust transparently, and design for customers who differ in their appetite for automation, personalisation and human support.
5 assessment questions
Explore the capability architectureHUMANISE core capabilities
- Customer search behaviour shiftunderstand how discovery is changing
- Agent-enabled behaviourknow who uses automated agents and who avoids them
- Trust & transparencyactively manage customer confidence
- AI-driven personalisationuse context without losing relevance or trust
- Customer experience designserve both AI-native and AI-hesitant customers
Human capability
Nuanced customer understanding · Interpretation · Empathy · Relationship building · Trust building · Feedback judgement · Exception judgement · Customer advocacy · Customer agency · Relationship recovery · Cultural/contextual sensitivity · Market interpretation
Technology capability
Monitor customer feedback · Identify behavioural patterns · Segment dynamically · Personalise recommendations · Predict customer behaviour · Detect emerging needs · Analyse search behaviour · Process high-volume interactions · Automate routine queries · Provide 24/7 service · Recommend next-best actions · Surface anomalies
Human–technology allocation question
What can AI observe about customers, and what still requires a human to understand them?
Activation
Work redesign, operations, risk & accountability
Activation measures systematised data quality, operational discipline, documented regulatory obligations, unmanaged tool use and vendor portability — the foundations that make dependable transformation possible beyond isolated experiments.
5 assessment questions
Explore the capability architectureHUMANISE core capabilities
- Data quality & governancemake reliable data a system capability
- Production excellencemove from proof-of-concept to reliable operation
- Scale from pilot to enterpriseredesign the workflow, not just the tool
- Regulatory & compliance riskbuild requirements into decisions from day one
- Infrastructure & portabilitymanage cost, dependency and vendor lock-in
Human capability
Work architecture · Task allocation · Exception judgement · Human accountability · Risk judgement · Escalation judgement · Reversibility judgement · Information integrity · Regulatory judgement · Operational stewardship · Resource judgement · Change execution
Technology capability
Automate routine workflows · Execute rule-based processes · Process high-volume transactions · Monitor continuously · Detect anomalies · Detect standard exceptions · Route exceptions · Optimise processes · Scale execution · Monitor performance · Process operational data · Coordinate repeatable workflows
Human–technology allocation question
Who does what, who checks it, who can override it and who remains accountable?
Know How
AI literacy, expertise, critical thinking & learning
Know How measures whether people understand what technology can and cannot do, whether talent decisions are grounded in capability rather than job titles, and whether learning shows up in the work rather than only in training records.
5 assessment questions
Explore the capability architectureHUMANISE core capabilities
- Reskilling reality checkmeasure applied capability, not training completion
- Build vs. buy economicsdecide where capability should live
- AI skills requiredprioritise judgement, collaboration and critical thinking
- Continuous learning culturemake learning part of work
- Middle manager transformationredesign managers as coaches/facilitators
Human capability
AI literacy · AI quality control · Critical thinking · Domain expertise · Judgement development · Collaboration · Learning agility · Knowledge transfer · Metacognition · Expertise preservation · Mentoring · Role adaptation
Technology capability
Provide on-demand knowledge · Accelerate research · Synthesise information · Generate learning material · Personalise learning · Provide practice and feedback · Identify knowledge gaps · Generate explanations · Support analysis · Accelerate drafting · Translate knowledge · Reduce routine knowledge-work cost
Human–technology allocation question
What should AI make easier to learn — and what must humans continue to learn deeply?
Identity
Conviction, differentiation, taste & agency
Feature-based differentiation is replicated fast; belief-rooted positioning compounds. Identity measures whether you know the one to three moats you actually own, whether technology use is disclosed honestly, and whether employees can connect technology-enabled differentiation to the brand promise.
5 assessment questions
Explore the capability architectureHUMANISE core capabilities
- Competitive moatsidentify the advantages you actually own
- Conviction-based positioningdifferentiate through belief, not feature parity
- Authenticity over AI-washingbe explicit about where AI adds value
- Human judgement as differentiatorprotect proprietary thinking, taste and standards
- Employee brand coherencealign internal experience with the external promise
Human capability
Conviction · Selectivity · Taste · Editorial judgement · Original thinking · Strategic differentiation · Values-based choice · Founder/leader agency · Authenticity · Courage · Purpose · Meaning-making
Technology capability
Generate ideas · Generate content · Produce variants · Analyse competitors · Identify market patterns · Optimise propositions · Replicate common features · Test alternatives · Personalise messaging · Scale creative production · Accelerate prototyping · Analyse audience response
Human–technology allocation question
When everyone has access to the same intelligence, what will we choose that others won't?
Service
Human-centred products, experience & relationships
Dependable technology-enabled products expose intent, decompose tasks, surface uncertainty and keep humans in control. Service measures whether your products augment human capability, explain their reasoning, allow override, work for diverse users, and are judged on real-world outcomes rather than model accuracy.
5 assessment questions
Explore the capability architectureHUMANISE core capabilities
- AI-native product designshorten idea-to-prototype cycles
- Dependable productsexpose intent, uncertainty and control
- Human-centric designAI as co-pilot, not controller
- Personalisation at scaleincrease relevance without eroding agency
- Learning & iteration loopsmeasure real-world outcomes, not only model accuracy
Human capability
Empathy · Care · Relationship building · Relationship recovery · Exception judgement · Human override · Transparent explanation · Customer agency · Inclusive design judgement · Contextual interpretation · Trust repair · Human connection
Technology capability
Automate routine interactions · Provide 24/7 availability · Personalise experiences · Generate recommendations · Process transactions · Detect customer problems · Route exceptions · Learn from interaction patterns · Generate product variants · Prototype rapidly · Adapt experiences dynamically · Monitor real-world behaviour
Human–technology allocation question
Where should the customer experience automation — and where should they experience a human?
Enablers
Human–technology collaboration, governance, learning & infrastructure
Enablers measures documented human–technology collaboration models, evidence-based upskilling, redesigned management roles, and honest pathways for people whose work changes materially through transformation.
5 assessment questions
Explore the capability architectureHUMANISE core capabilities
- Human–technology collaborationdefine who sets direction, executes, validates and refines
- Upskilling at scalecombine learning with real work and peer support
- Middle-manager enablementgive managers freedom, incentives and support
- Judgement + collaborationinvest in human capability as well as technical skill
- Inclusive transition pathwaysdesign for people who cannot or will not reskill
Human capability
Human–technology collaboration · Decision-rights design · Governance · Accountability · Oversight · Escalation design · Cross-functional collaboration · Power awareness · Organisational learning · Feedback-loop design · Inclusive transition · Human impact measurement · Capability measurement · Change leadership · Systems thinking
Technology capability
Provide analytics · Identify patterns across systems · Monitor performance · Surface anomalies · Coordinate workflows · Automate repeatable hand-offs · Provide feedback at scale · Learn from interaction patterns · Generate reports · Connect information · Support scenario modelling · Monitor system behaviour
Human–technology allocation question
What organisational system ensures humans and AI learn from each other without humans surrendering agency?
Readiness bands
How your score is read
Each pillar is scored as the average of its five questions on a 1–5 scale. Your overall transformation readiness score is the average across all eight pillars. It is a signal for strategic focus, not a verdict on the organisation.
Transformation-Ready
Capability is systematised and can be used deliberately.
In Development
Progress exists, but practice is uneven or fragile.
Early Stage
Foundations need attention before transformation can scale.
Build / Buy / Redesign / Augment / Combine
How to respond to capability gaps
Build
Help someone develop the capability.
Buy
Hire the capability you really do not have.
Redesign
Change the way work is organised.
Augment
Use technology to make people more capable.
Combine
Bring people and capabilities together in new ways.
Framework in action
Implementation principles
What capability gets cheaper?
Technology makes more execution cheap. Clarity, judgement and collaboration become more valuable because they determine what should be done, trusted and owned.
Where does competitive advantage go?
Upstream — to clarity about what matters, strategic judgement about which human or technology capability to apply where, and the organisational collaboration to coordinate across teams.
Build vs. buy decision?
When capability gaps appear, hiring should not be the automatic response. Decide whether to build, buy, redesign, augment or combine capability.
Regulatory and compliance reality?
Regulation is not a bolt-on layer — it shapes strategy viability. Compliance, unmanaged tool use and accountability must inform decisions from day one, not after.
Measurement that matters?
Choose value measures based on your business model. Workflow redesign, decision quality and capability growth matter more than raw tool activity.
Who is actually responsible for success?
Middle management often carries the translation work. Redesign the role as an accelerator and sense-making layer, not only an approval gate.
Next step
What happens next?
HUMANISE shows you where you may need to focus. The next step is understanding what those gaps mean for your business. That is where the strategic work begins.
Want help working through what it means?
Talk to Jane →Ready to see your own profile?
40 questions across eight pillars, about fifteen minutes.