AI capability
Models, agents, analytics and automation can advance in months through rapid research and product cycles.
The complete model
One gap.
Five lenses.
A connected architecture for seeing where AI adoption outruns human readiness—and responding before friction becomes harm.
01 / Core concept
The Psychological
Speed Gap
Technology can change almost instantly. Institutions change through governance, operations and learning. People change through understanding, experience and trust.
Plain-language definition
The gap is what happens when technology changes faster than people and organisations can confidently understand, govern and use it.
What it is
A human-centred model for understanding adoption, behaviour, trust and readiness.
What it isn’t
A rejection of innovation, a technical architecture, or a tool for labelling people.
02 / Visual model
The Three
Curves
The gap is dynamic. It changes by product, channel, customer group, situation and the support available.
Institutional adaptation
Governance, risk, infrastructure, support and workforce development move more deliberately.
Human adaptation
Understanding, trust and confidence develop unevenly through lived experience.
03 / Diagnostic lens
SAFE–AI
Four interacting forces explain why the gap opens—and where an organisation can intervene.
Speed of technology
Where does acceleration create risk because people, processes or controls cannot adapt at the same pace?
Human adaptation
Do people have repeated experience, clear explanation, successful outcomes and a sense of control?
Institutional friction
Is friction a purposeful safety mechanism—or a confusing barrier that slows learning without protection?
Ethical response
Are inclusion, fairness, oversight and confidence visible in real decisions, pathways and outcomes?
04 / Behavioural layer
Human
Adaptation
Understand the pressure beneath the behaviour.
People form mental models, decide what to trust, assess risk, seek control and judge whether they can complete a task successfully.
Psychological drivers
Cognitive load
Mental effort needed to process information and decide.
Trust formation
Belief that a system is reliable, fair and predictable.
Perceived control
Belief that a person can influence or manage what happens.
Risk perception
Subjective interpretation of uncertainty and consequence.
Self-efficacy
Belief that a person can complete the task successfully.
Situational amplifiers
Emotional stressLife disruptionTime pressureFinancial anxietyHealth & cognitionExternal influence
05 / Response model
HARMONIC
Eight design commitments for technology that remains navigable, inclusive and confidence-building.
Human pace
Introduce change with enough explanation, time and support to build trust.
Adaptation capacity
Design for different confidence levels, abilities, pressures and circumstances.
Risk recognition
Recognise confusion, stress or coercion—and respond supportively, not punitively.
Meaningful oversight
Make human review, escalation and accountable judgement real and actionable.
Outcomes focus
Measure fairness, clarity, confidence and recovery alongside efficiency.
Navigability
Let people understand, pause, correct mistakes, change channel and get help.
Inclusive design
Build for different abilities, languages, devices and support needs from the start.
Confidence building
Leave people feeling more secure, respected and capable—not merely processed faster.