HUMANISE Framework v2.1

What capabilities do you have? And what will you need next?

Transformation often starts with a capability gap.
But a gap does not always mean you need to hire someone.

Transformation readiness | 195 mapped capabilities | Strategy before technology

Capability inventory

Before you buy capability, find the capability you already have.

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.

Capability gap response

Build. Buy. Redesign. Augment.

When you find a gap, there are different choices.

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.

Hiring is one answer. It should not be the automatic answer.

Two layers. One framework.

Layer 1 — Transformation readiness

HUMANISE identifies eight organisational conditions that determine whether strategy can become real: Habits, Understanding, Market, Activation, Know How, Identity, Service and Enablers.

Layer 2 — Capability allocation

Every pillar shows what humans must increasingly own, what technology can increasingly do, who should do what, and what the organisation must build to make good allocation possible at scale.

No strategy works if the organisation does not have the capabilities to deliver it. As technology gets better at doing, human capability becomes more important in deciding: what matters, what to trust, what to automate, where to stay human and what to do next.

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.

Classification 01

Human capability

What must humans increasingly own?

Judgement, authority, context, values, trust, agency, choice

Protect and deliberately strengthen human advantage

Classification 02

Technology capability

What can technology increasingly do?

Speed, scale, consistency, pattern recognition, prediction, execution, personalisation

Use AI and automation where they create leverage

Classification 03

Human–technology allocation

Who should do what? Who checks it? Who can override it? Who remains accountable?

Task allocation, decision rights, escalation, override, accountability

Design the relationship rather than defaulting to automation

Classification 04

Organisational capability

What must the organisation build?

The 8 pillars and their organisational capabilities

Make good allocation possible at scale

Five human capabilities across the whole framework

These are not just “soft skills”.
They are important human capabilities.

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.

Human + technology allocation

Who should do what?

What should people do?

What can technology do?

What should people and technology do together?

Who checks the work?

Who can override it?

Who is accountable?

Human capability

JudgementAuthorityContextValuesTrustAgencyChoice

Technology capability

SpeedScaleConsistencyPattern recognitionPredictionExecutionPersonalisation

Capability source

Habits

Culture, psychological safety & sustainable change

Scope

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.

Human capability

  • Psychological safety

    Means… Feeling safe to ask questions, challenge ideas, experiment and admit mistakes without fear of embarrassment or punishment.

  • Experimentation

    Means… Trying things out on a small scale, learning from the results and adjusting before committing more broadly.

  • Dialogue

    Means… Having open, constructive conversations where people can question assumptions, share concerns and learn from different perspectives.

  • Confidence calibration

    Means… Matching confidence to actual knowledge and evidence, and recognising when to trust yourself, seek help or question an answer.

  • Adaptability

    Means… Adjusting your approach as circumstances, technology and understanding change, without losing sight of what matters.

  • Resilience

    Means… Recovering from setbacks, uncertainty and failed experiments, and using them as opportunities to learn.

  • Self-awareness

    Means… Recognising your own assumptions, reactions, strengths and blind spots, and how they shape the way you work with AI.

  • Feedback seeking

    Means… Actively asking for input, critique and evidence that can improve your thinking, work or decisions.

  • Learning from failure

    Means… Understanding what didn't work, why it happened and what to change, rather than simply moving on or assigning blame.

  • Sustainable pacing

    Means… Making change at a rate people can absorb, practise and sustain without overwhelming them or compromising the work.

Technology capability

  • Accelerate experimentation

    Means… Making it faster and easier to test ideas, workflows and approaches before investing in them at scale.

  • Generate alternatives quickly

    Means… Producing multiple possible approaches or solutions to help people explore beyond their first idea.

  • Provide immediate feedback

    Means… Giving people timely responses to their work so they can identify gaps and improve as they go.

  • Surface behavioural patterns

    Means… Identifying recurring behaviours or interactions that may reveal how people work, learn or respond to change.

  • Analyse sentiment at scale

    Means… Examining large volumes of feedback or communication to identify patterns in how people feel or respond.

  • Provide always-on assistance

    Means… Making support and guidance available when people need it, rather than only at scheduled times.

  • Personalise learning

    Means… Adapting learning content, guidance or practice to an individual's needs, progress and knowledge gaps.

  • Automate routine work

    Means… Handling repetitive, predictable tasks so people can focus on work requiring human judgement and attention.

  • Detect patterns

    Means… Finding recurring relationships, trends or anomalies across information that may be difficult to spot manually.

  • Accelerate iteration

    Means… Helping people refine, revise and improve ideas or outputs more quickly through repeated cycles of feedback.

Human–technology allocation

How do we use AI to increase human capacity without accelerating a broken culture?

HUMANISE core capabilities

  • Psychological safety — make it safe to question, experiment and disagree
  • Leadership modelling — visibly demonstrate expected behaviours
  • Fear-to-learning mechanisms — surface and work with transformation fears
  • Sustainable transformation pacing — change at a humanly sustainable rate
  • Experimentation habits — learn through low-stakes use and feedback

Key insight

Culture is the primary barrier, not technology

Design principle: Put technology where speed, scale, consistency and pattern recognition create value; keep human ownership where judgement, context, values, relationships, authority and choice create value.

Understanding

Strategy, judgement, evidence & measurement

Scope

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.

Human capability

  • Strategic clarity

    Means… Understanding what the business is trying to achieve, why it matters and how choices about AI support that direction.

  • Problem selection

    Means… Identifying which problems are worth solving, rather than adopting technology simply because it is available.

  • Premise awareness

    Means… Recognising the assumptions beneath a question, decision or recommendation, and checking whether they are valid.

  • Critical thinking

    Means… Examining information, reasoning and evidence rather than accepting an answer simply because it sounds convincing.

  • Epistemic discipline

    Means… Being clear about what you know, what you don't know and what you have good reason to believe.

  • Verification

    Means… Checking AI-generated information, claims and outputs against reliable evidence before relying on or sharing them.

  • Contextual judgement

    Means… Interpreting information in light of the specific circumstances, people, constraints and consequences involved.

  • Trade-off judgement

    Means… Weighing competing benefits, costs and risks, and making deliberate choices about what to prioritise or sacrifice.

  • Uncertainty management

    Means… Making considered decisions when information is incomplete, outcomes are unpredictable or confidence is limited.

  • Confidence calibration

    Means… Knowing how much confidence to place in your own judgement or an AI output, based on the strength of the evidence.

  • Strategic selectivity

    Means… Choosing where AI will create meaningful value—and where not using it is the more appropriate choice.

  • Decision ownership

    Means… Taking responsibility for decisions, including those informed by AI, and being accountable for their consequences.

  • Value-based judgement

    Means… Making choices in line with the organisation's values, principles and responsibilities, not just efficiency or convenience.

  • Measurement judgement

    Means… Choosing measures that reflect meaningful business and human outcomes, rather than relying on easy-to-count activity.

Technology capability

  • Generate recommendations

    Means… Suggesting possible actions or decisions based on available information, patterns and defined objectives.

  • Generate alternatives

    Means… Producing different options or approaches so people can compare possibilities before deciding.

  • Identify patterns

    Means… Detecting relationships, trends and recurring signals in data that may inform understanding or decisions.

  • Analyse trends

    Means… Examining how information changes over time to reveal emerging patterns, shifts or potential areas of concern.

  • Predict outcomes

    Means… Estimating possible future results based on historical data, patterns and assumptions.

  • Generate scenarios

    Means… Modelling different possible futures or conditions to help people explore consequences and prepare for uncertainty.

  • Compare options

    Means… Evaluating alternatives against specified criteria to make differences, benefits and limitations easier to see.

  • Synthesise information

    Means… Bringing together information from multiple sources into a coherent summary or overall view.

  • Provide analytics

    Means… Processing and presenting data to help people understand performance, patterns and potential areas for action.

  • Test logical consistency

    Means… Checking whether statements, arguments or conclusions are internally consistent and follow from the stated premises.

  • Surface anomalies

    Means… Highlighting unusual results, inconsistencies or deviations that may warrant further investigation.

  • Optimise objectives

    Means… Identifying ways to improve performance against a defined goal, subject to specified constraints and trade-offs.

  • Provide reasoning

    Means… Presenting an explanation or rationale for an answer or recommendation that people can examine and question.

  • Accelerate decision preparation

    Means… Gathering, organising and summarising information to help people prepare for decisions more efficiently.

Human–technology allocation

What should we ask AI to analyse, what should humans decide, and what evidence is sufficient to act?

HUMANISE core capabilities

  • Adaptive strategy — refresh strategy as technology, markets and assumptions change
  • ROI measurement — choose the payback model that fits the business
  • Organisational structure — make decision rights explicit
  • Portfolio approach — balance quick wins, bets and capability building
  • Governance architecture — design governance before technology architecture

Key insight

Adaptive strategy with measurement that matters

Design principle: Put technology where speed, scale, consistency and pattern recognition create value; keep human ownership where judgement, context, values, relationships, authority and choice create value.

Market

Customer understanding, trust & agency

Scope

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.

Human capability

  • Nuanced customer understanding

    Means… Understanding customers' needs, motivations and circumstances beyond what their data or stated preferences alone reveal.

  • Interpretation

    Means… Making sense of customer behaviour and feedback in context, rather than treating every signal as self-explanatory.

  • Empathy

    Means… Seeing situations from the customer's perspective and recognising how decisions affect their experience.

  • Relationship building

    Means… Creating customer relationships through consistent, relevant and trustworthy interactions.

  • Trust building

    Means… Earning customer confidence through reliability, transparency and actions that align with promises.

  • Feedback judgement

    Means… Interpreting customer feedback thoughtfully, distinguishing meaningful signals from noise and considering whose voices may be missing.

  • Exception judgement

    Means… Recognising when a customer's situation needs more than a standard response and deciding when human intervention is appropriate.

  • Customer advocacy

    Means… Representing customer needs and interests in business decisions, particularly when those needs may otherwise be overlooked.

  • Customer agency

    Means… Ensuring customers have meaningful choice and control over how they interact with the business and its technology.

  • Relationship recovery

    Means… Restoring customer trust after a poor experience by addressing the issue and making meaningful changes.

  • Cultural/contextual sensitivity

    Means… Recognising how culture, circumstances and context shape customer expectations, communication and behaviour.

  • Market interpretation

    Means… Making sense of market signals, customer behaviour and changing conditions to understand what they mean for the business.

Technology capability

  • Monitor customer feedback

    Means… Collecting and tracking customer feedback to identify recurring concerns, needs and opportunities.

  • Identify behavioural patterns

    Means… Detecting recurring patterns in customer actions and interactions that may reveal needs or changing preferences.

  • Segment dynamically

    Means… Grouping customers into changing segments based on relevant behaviours, needs or characteristics.

  • Personalise recommendations

    Means… Tailoring suggested products, services or actions to an individual customer's needs and context.

  • Predict customer behaviour

    Means… Estimating possible future customer actions based on available data and behavioural patterns.

  • Detect emerging needs

    Means… Identifying early signals that customer expectations, preferences or problems may be changing.

  • Analyse search behaviour

    Means… Examining what customers search for to understand their interests, questions and unmet needs.

  • Process high-volume interactions

    Means… Handling large volumes of customer interactions efficiently, consistently and at scale.

  • Automate routine queries

    Means… Answering predictable customer questions automatically using available information and defined processes.

  • Provide 24/7 service

    Means… Making customer assistance and information available at any time, including outside business hours.

  • Recommend next-best actions

    Means… Suggesting possible next steps based on customer context, business objectives and available information.

  • Surface anomalies

    Means… Highlighting unusual customer behaviours or feedback patterns that may warrant further investigation.

Human–technology allocation

What can AI observe about customers, and what still requires a human to understand them?

HUMANISE core capabilities

  • Customer search behaviour shift — understand how discovery is changing
  • Agent-enabled behaviour — know who uses automated agents and who avoids them
  • Trust & transparency — actively manage customer confidence
  • AI-driven personalisation — use context without losing relevance or trust
  • Customer experience design — serve both AI-native and AI-hesitant customers

Key insight

Customer behaviour is changing faster than most roadmaps

Design principle: Put technology where speed, scale, consistency and pattern recognition create value; keep human ownership where judgement, context, values, relationships, authority and choice create value.

Activation

Work redesign, operations, risk & accountability

Scope

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.

Human capability

  • Work architecture

    Means… Designing how work is structured, connected and delivered across people, processes and technology.

  • Task allocation

    Means… Deciding which tasks should be done by people, AI or a combination of both, based on capability, risk and context.

  • Exception judgement

    Means… Recognising when work falls outside expected rules or conditions and deciding how it should be handled.

  • Human accountability

    Means… Ensuring a person or role remains responsible for decisions, actions and outcomes, even when technology performs the work.

  • Risk judgement

    Means… Assessing potential harms, uncertainties and consequences to determine what level of risk is acceptable and what safeguards are needed.

  • Escalation judgement

    Means… Knowing when an issue requires additional expertise, authority or human intervention, and directing it appropriately.

  • Reversibility judgement

    Means… Understanding whether a decision or action can be undone, and adjusting the level of scrutiny and control accordingly.

  • Information integrity

    Means… Ensuring information remains accurate, complete, consistent and trustworthy as it moves through systems and workflows.

  • Regulatory judgement

    Means… Interpreting relevant obligations and requirements in context and deciding how they apply to specific operations and decisions.

  • Operational stewardship

    Means… Taking responsibility for the reliable, safe and effective operation of processes and systems over time.

  • Resource judgement

    Means… Deciding how to allocate time, people, money and technology to the work that matters most.

  • Change execution

    Means… Turning change plans into coordinated action, managing dependencies and ensuring new ways of working become operational.

Technology capability

  • Automate routine workflows

    Means… Executing predictable sequences of tasks automatically according to defined rules and conditions.

  • Execute rule-based processes

    Means… Applying established rules consistently to complete tasks or make decisions within specified boundaries.

  • Process high-volume transactions

    Means… Handling large numbers of transactions efficiently and consistently, with appropriate controls.

  • Monitor continuously

    Means… Tracking systems or processes on an ongoing basis to identify changes, failures or emerging issues.

  • Detect anomalies

    Means… Identifying unusual activity or results that deviate from expected patterns and may require investigation.

  • Detect standard exceptions

    Means… Recognising when a transaction or process does not meet defined rules or expected conditions.

  • Route exceptions

    Means… Directing non-standard cases to the appropriate person, team or process for review and resolution.

  • Optimise processes

    Means… Identifying ways to improve process performance against defined objectives, constraints and requirements.

  • Scale execution

    Means… Increasing the volume or reach of operational work without a proportional increase in manual effort.

  • Monitor performance

    Means… Tracking operational results against defined measures to identify issues and opportunities for improvement.

  • Process operational data

    Means… Collecting, transforming and analysing operational information to support workflows and decisions.

  • Coordinate repeatable workflows

    Means… Managing the sequence and hand-offs of recurring tasks across systems, people and processes.

Human–technology allocation

Who does what, who checks it, who can override it and who remains accountable?

HUMANISE core capabilities

  • Data quality & governance — make reliable data a system capability
  • Production excellence — move from proof-of-concept to reliable operation
  • Scale from pilot to enterprise — redesign the workflow, not just the tool
  • Regulatory & compliance risk — build requirements into decisions from day one
  • Infrastructure & portability — manage cost, dependency and vendor lock-in

Key insight

Getting from proof of concept to dependable production

Design principle: Put technology where speed, scale, consistency and pattern recognition create value; keep human ownership where judgement, context, values, relationships, authority and choice create value.

Know How

AI literacy, expertise, critical thinking & learning

Scope

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.

Human capability

  • AI literacy

    Means… Understanding what AI can and cannot do, how it works at a practical level and what that means for using it responsibly.

  • AI quality control

    Means… Evaluating AI outputs for accuracy, relevance, completeness and quality before relying on or sharing them.

  • Critical thinking

    Means… Questioning information, examining evidence and testing conclusions rather than accepting an answer at face value.

  • Domain expertise

    Means… Bringing deep knowledge of a field, its context and its practical realities to the work and decisions AI supports.

  • Judgement development

    Means… Building the ability to make sound decisions through experience, reflection, practice and feedback.

  • Collaboration

    Means… Working effectively with others, sharing knowledge and combining different skills and perspectives to achieve a common goal.

  • Learning agility

    Means… Learning quickly, adapting to new information and applying what you've learned in unfamiliar situations.

  • Knowledge transfer

    Means… Sharing expertise and experience in ways that help other people understand and apply it in their own work.

  • Metacognition

    Means… Understanding how you think and learn, recognising your own blind spots and adjusting your approach when needed.

  • Expertise preservation

    Means… Protecting and developing the knowledge and judgement that people need to retain as tasks and processes become automated.

  • Mentoring

    Means… Helping others develop their skills and judgement through guidance, feedback, questions and shared experience.

  • Role adaptation

    Means… Adjusting responsibilities and ways of working as technology changes what a role requires and where people add value.

Technology capability

  • Provide on-demand knowledge

    Means… Making relevant information and expertise accessible when people need it to complete a task or make a decision.

  • Accelerate research

    Means… Helping gather, search and organise information more quickly so people can investigate questions and explore ideas.

  • Synthesise information

    Means… Bringing together information from different sources into a coherent summary or explanation.

  • Generate learning material

    Means… Creating learning resources, examples and exercises tailored to a particular topic or learning objective.

  • Personalise learning

    Means… Adapting learning content and guidance to a person's knowledge, needs and progress.

  • Provide practice and feedback

    Means… Creating opportunities to practise skills and receive feedback that supports improvement.

  • Identify knowledge gaps

    Means… Highlighting areas where a person may lack information or understanding needed for a task.

  • Generate explanations

    Means… Explaining concepts, processes or information in ways that help people understand them.

  • Support analysis

    Means… Helping examine information, explore relationships and develop insights that inform human thinking.

  • Accelerate drafting

    Means… Producing initial drafts of written or other content that people can review, refine and develop.

  • Translate knowledge

    Means… Reframing information for different audiences, contexts or levels of understanding.

  • Reduce routine knowledge-work cost

    Means… Reducing the time and effort required for repetitive information-based tasks, such as searching, summarising and drafting.

Human–technology allocation

What should AI make easier to learn — and what must humans continue to learn deeply?

HUMANISE core capabilities

  • Reskilling reality check — measure applied capability, not training completion
  • Build vs. buy economics — decide where capability should live
  • AI skills required — prioritise judgement, collaboration and critical thinking
  • Continuous learning culture — make learning part of work
  • Middle manager transformation — redesign managers as coaches/facilitators

Key insight

Honest economics of reskilling, build and buy

Design principle: Put technology where speed, scale, consistency and pattern recognition create value; keep human ownership where judgement, context, values, relationships, authority and choice create value.

Identity

Conviction, differentiation, taste & agency

Scope

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.

Human capability

  • Conviction

    Means… Holding a considered position grounded in evidence, experience and values, while remaining open to being challenged.

  • Selectivity

    Means… Choosing what deserves attention, investment and effort—and what to leave out.

  • Taste

    Means… Recognising quality, relevance and coherence, and making choices that reflect discernment rather than simply accepting what is available.

  • Editorial judgement

    Means… Deciding what to include, exclude, emphasise or refine so that the final work has clarity, purpose and integrity.

  • Original thinking

    Means… Developing ideas and perspectives that go beyond existing patterns, familiar answers or readily available outputs.

  • Strategic differentiation

    Means… Identifying and building the qualities that make a business meaningfully distinct from its competitors.

  • Values-based choice

    Means… Making decisions that reflect what the organisation stands for, including when those choices involve trade-offs.

  • Founder/leader agency

    Means… Retaining the ability and authority to shape the direction of the business, rather than allowing technology or external pressures to make choices by default.

  • Authenticity

    Means… Ensuring that what the business says, creates and does reflects its actual values, character and commitments.

  • Courage

    Means… Being willing to question convention, challenge assumptions and make considered choices even when they involve uncertainty or discomfort.

  • Purpose

    Means… Understanding the deeper reason behind the work and using it to guide priorities, decisions and action.

  • Meaning-making

    Means… Making sense of experiences, information and change in ways that help people understand what matters and how to respond.

Technology capability

  • Generate ideas

    Means… Producing possible concepts, approaches or directions to help people explore and develop new thinking.

  • Generate content

    Means… Creating written, visual or other content based on instructions, information and examples.

  • Produce variants

    Means… Creating alternative versions of an idea, design or piece of content for comparison and refinement.

  • Analyse competitors

    Means… Examining available information about competitors to identify their offerings, positioning and patterns of activity.

  • Identify market patterns

    Means… Finding recurring themes, trends or signals across market information that may inform strategic choices.

  • Optimise propositions

    Means… Helping refine a product, service or value proposition against defined objectives and criteria.

  • Replicate common features

    Means… Reproducing familiar or established features, formats and approaches based on existing examples.

  • Test alternatives

    Means… Comparing different ideas, messages or approaches to understand how they perform against defined criteria.

  • Personalise messaging

    Means… Adapting messages to different audiences, needs or contexts while maintaining the intended meaning.

  • Scale creative production

    Means… Producing more creative assets or content variations without requiring a proportional increase in manual effort.

  • Accelerate prototyping

    Means… Creating early versions of ideas, products or experiences more quickly so they can be explored and tested.

  • Analyse audience response

    Means… Examining audience feedback and behaviour to understand how people respond to content, products or messages.

Human–technology allocation

When everyone has access to the same intelligence, what will we choose that others won't?

HUMANISE core capabilities

  • Competitive moats — identify the advantages you actually own
  • Conviction-based positioning — differentiate through belief, not feature parity
  • Authenticity over AI-washing — be explicit about where AI adds value
  • Human judgement as differentiator — protect proprietary thinking, taste and standards
  • Employee brand coherence — align internal experience with the external promise

Key insight

Conviction-based differentiation, not AI-washing

Design principle: Put technology where speed, scale, consistency and pattern recognition create value; keep human ownership where judgement, context, values, relationships, authority and choice create value.

Service

Human-centred products, experience & relationships

Scope

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.

Human capability

  • Empathy

    Means… Understanding another person's feelings, needs and perspective, rather than assuming you know what matters to them.

  • Care

    Means… Considering people's wellbeing and needs when making decisions, designing experiences and delivering service.

  • Relationship building

    Means… Creating and maintaining relationships through trust, communication and consistent, meaningful interactions.

  • Relationship recovery

    Means… Rebuilding trust after something has gone wrong by acknowledging the issue, taking responsibility and addressing its impact.

  • Exception judgement

    Means… Recognising when a situation falls outside the rules or expected patterns, and knowing when to question, override or escalate an AI recommendation.

  • Human override

    Means… Knowing when and how to intervene, change or stop an automated decision or action when human judgement is needed.

  • Transparent explanation

    Means… Explaining decisions, processes and the role of AI clearly enough for people to understand what happened and why.

  • Customer agency

    Means… Giving customers meaningful choice, control and the ability to influence their own experience.

  • Inclusive design judgement

    Means… Recognising whose needs may be overlooked and making design choices that work for people with different abilities, circumstances and experiences.

  • Contextual interpretation

    Means… Understanding what a customer's words, actions or circumstances mean in context, rather than interpreting them literally or in isolation.

  • Trust repair

    Means… Taking deliberate action to restore confidence after trust has been damaged, through honesty, accountability and changed behaviour.

  • Human connection

    Means… Creating a sense of understanding, presence and personal connection that goes beyond completing a transaction.

Technology capability

  • Automate routine interactions

    Means… Handling predictable customer interactions automatically, freeing people to focus on more complex or sensitive needs.

  • Provide 24/7 availability

    Means… Making information, assistance and services accessible at any time, including outside normal operating hours.

  • Personalise experiences

    Means… Adapting interactions, content or services to individual preferences, needs and circumstances.

  • Generate recommendations

    Means… Suggesting products, services or next steps based on available information about a customer's needs or behaviour.

  • Process transactions

    Means… Completing routine transactions, such as bookings, orders or payments, according to defined processes.

  • Detect customer problems

    Means… Identifying signals that a customer is experiencing difficulty, dissatisfaction or an unmet need.

  • Route exceptions

    Means… Directing unusual, complex or sensitive cases to the appropriate person or team for review.

  • Learn from interaction patterns

    Means… Identifying recurring patterns in customer interactions that can inform improvements to service and experience.

  • Generate product variants

    Means… Creating alternative product configurations or versions to meet different customer needs or preferences.

  • Prototype rapidly

    Means… Creating early versions of products or experiences quickly so they can be tested and refined.

  • Adapt experiences dynamically

    Means… Adjusting an experience in response to changing customer needs, behaviour or context.

  • Monitor real-world behaviour

    Means… Tracking how products, services or automated systems perform in actual use, rather than relying only on testing or assumptions.

Human–technology allocation

Where should the customer experience automation — and where should they experience a human?

HUMANISE core capabilities

  • AI-native product design — shorten idea-to-prototype cycles
  • Dependable products — expose intent, uncertainty and control
  • Human-centric design — AI as co-pilot, not controller
  • Personalisation at scale — increase relevance without eroding agency
  • Learning & iteration loops — measure real-world outcomes, not only model accuracy

Key insight

Technology as co-pilot, never controller

Design principle: Put technology where speed, scale, consistency and pattern recognition create value; keep human ownership where judgement, context, values, relationships, authority and choice create value.

Enablers

Human–technology collaboration, governance, learning & infrastructure

Scope

Enablers measures documented human–technology collaboration models, evidence-based upskilling, redesigned management roles, and honest pathways for people whose work changes materially through transformation.

Human capability

  • Human–technology collaboration

    Means… Knowing how to work with technology by defining roles, coordinating contributions and combining human judgement with machine capability.

  • Decision-rights design

    Means… Clarifying who has the authority to make, approve, change or challenge decisions across people and systems.

  • Governance

    Means… Establishing the principles, policies and processes that guide how technology is used and how risks are managed.

  • Accountability

    Means… Taking responsibility for actions, decisions and outcomes, including those supported or generated by AI.

  • Oversight

    Means… Maintaining appropriate visibility and supervision of systems to ensure they operate as intended and remain within acceptable boundaries.

  • Escalation design

    Means… Defining when an issue needs to be raised, who should handle it and how it moves to the right level of authority.

  • Cross-functional collaboration

    Means… Working across teams and disciplines to align decisions, share knowledge and solve problems that no single function can address alone.

  • Power awareness

    Means… Recognising how authority, influence and access to information shape decisions, participation and the distribution of benefits and risks.

  • Organisational learning

    Means… Turning experience, experiments and feedback into shared knowledge that improves how the organisation works.

  • Feedback-loop design

    Means… Creating processes that capture feedback, learn from outcomes and feed those lessons back into decisions and improvements.

  • Inclusive transition

    Means… Managing change in ways that consider different people's needs, circumstances and ability to adapt, so no one is unnecessarily left behind.

  • Human impact measurement

    Means… Assessing how technology and change affect people's work, wellbeing, agency and experience—not just business performance.

  • Capability measurement

    Means… Understanding whether people have developed the knowledge, skills and judgement needed to perform effectively in practice.

  • Change leadership

    Means… Helping people understand, navigate and participate in change while maintaining direction, trust and momentum.

  • Systems thinking

    Means… Seeing how people, processes, technology, incentives and decisions interact, and how changing one part affects the whole.

Technology capability

  • Provide analytics

    Means… Turning operational and organisational data into information that helps people understand performance and make decisions.

  • Identify patterns across systems

    Means… Finding relationships and recurring signals across different systems, processes or datasets.

  • Monitor performance

    Means… Tracking whether systems and processes are operating as expected and meeting defined measures.

  • Surface anomalies

    Means… Highlighting unusual results or deviations that may indicate a problem, risk or opportunity for investigation.

  • Coordinate workflows

    Means… Connecting tasks, systems and people so work moves through the required steps in the right sequence.

  • Automate repeatable hand-offs

    Means… Passing work or information between systems or people automatically when defined conditions are met.

  • Provide feedback at scale

    Means… Delivering timely, consistent feedback across large numbers of interactions, tasks or users.

  • Learn from interaction patterns

    Means… Detecting recurring patterns in how people and systems interact to inform operational improvements.

  • Generate reports

    Means… Compiling and presenting relevant information in a structured format to support monitoring and decision-making.

  • Connect information

    Means… Bringing information from different sources together so it can be accessed and understood in relation to other data.

  • Support scenario modelling

    Means… Helping explore possible outcomes under different assumptions, conditions or decisions.

  • Monitor system behaviour

    Means… Tracking how systems behave over time to identify performance changes, unexpected activity or emerging issues.

Human–technology allocation

What organisational system ensures humans and AI learn from each other without humans surrendering agency?

HUMANISE core capabilities

  • Human–technology collaboration — define who sets direction, executes, validates and refines
  • Upskilling at scale — combine learning with real work and peer support
  • Middle-manager enablement — give managers freedom, incentives and support
  • Judgement + collaboration — invest in human capability as well as technical skill
  • Inclusive transition pathways — design for people who cannot or will not reskill

Key insight

Humans set direction; AI accelerates execution

Design principle: Put technology where speed, scale, consistency and pattern recognition create value; keep human ownership where judgement, context, values, relationships, authority and choice create value.

Architecture classifications

Gap additions incorporated into the master architecture

AI literacy

N — Know How

Make explicit what AI can/cannot do, limitations, uncertainty and when output should not be trusted.

Epistemic discipline & verification

U — Understanding

Separate evidence, inference, assumptions and plausible but unsupported output.

Human agency & accountability

U / A / E

Make decision ownership, override rights and consequences explicit.

Work architecture & task allocation

A — Activation

Redesign tasks, roles, workflows, hand-offs and decision points around human + technology capability.

Information integrity & provenance

A — Activation

Track source quality, provenance, reliability and synthetic-information risks.

Power & incentives

E — Enablers

Recognise how technology changes authority, access to information, incentives and accountability.

Human impact measurement

H / N / E

Measure learning, agency, wellbeing, capability and quality of work alongside technology ROI.

Continuous organisational learning

H / E

Build experiment → observe → learn → redesign loops rather than treating technology as a project.

Customer agency

M / S

Make meaningful choice, override and opt-out part of experience design.

Human–technology allocation

Across all 8

Make ‘who should do what?’ a deliberate design decision rather than an implicit assumption.

Implementation sequencing

1

Clarify what to automate

2

Build safe experimentation culture

3

Develop human judgement

4

Define competitive selectivity

5

Apply to customer experience

6

Design visible human authority

7

Operationalise at scale

8

Enable continuous learning

The acronym is intentional: transformation is not sequential—it’s about building clarity, culture, and human agency in concert with technical deployment. Each pillar reinforces the others.

HUMANISE: The operating logic

01

Make the premises explicit

Know what matters, what success means and which assumptions are being made.

02

Allocate capability deliberately

Put technology where it is stronger; retain human ownership where context, judgement, values, relationships and authority matter.

03

Design for choice

Build in human override, escalation, transparency and reversibility where risk or uncertainty demands it.

04

Build the human capability

Develop judgement, collaboration, critical thinking, trust, learning and agency alongside technical fluency.

05

Measure outcomes, not activity

Workflow redesign and real-world impact matter more than simply deploying models or completing training.

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 →