Lexicon
v0.1
This is not intended to be a traditional dictionary. It is a collection of Devonport concepts, language, and mental models that help explain how we think about people, organizations, culture, intelligence, and the future of work.
Humanᴬᴵ
Humanᴬᴵ represents the multiplying effect that abundant intelligence can have on humanity when technology is intentionally designed to elevate human capability, creativity, agency, contribution, and innovation. In this model, the human remains the foundation and artificial intelligence becomes the amplifier. AI is not the destination, it is the exponent.
Why it matters: Most conversations about AI focus on machines. Humanᴬᴵ focuses on people. The future is not defined by increasingly intelligent technology. It is defined by how humanity chooses to use intelligence to elevate what it means to be human.
People potential
People potential is the unrealized capacity for growth, contribution, creativity, leadership, learning, and innovation that exists within every individual. Potential is not limited to current performance--it represents what a person may become when given the right environment, opportunities, support, and challenges.
Why it matters: Organizations often optimize for performance because it is measurable. Devonport believes sustainable innovation begins with unlocking potential.
Elevate the human condition
The human condition refers to the collective experience of being human, including our capacity to learn, create, connect, contribute, grow, struggle, and find meaning. Elevating the human condition with the help of AI means people are realizing their potential.
Why it matters: Technology should be evaluated not only by what it produces, but by how it impacts the human condition.
Professional agency
Professional agency is an individual's ability to influence outcomes, make decisions, learn, create value, solve problems, and shape their professional future.
Why it matters: The goal of technology should not be to remove human agency--the goal should be to expand it.
Corporate epigenetics
Corporate Epigenetics is the study of how organizational culture and infrastructure adapt and express themselves in response to changing environmental conditions.
Just as biological epigenetics influences how DNA is expressed, Corporate Epigenetics explores how technologies, incentives, leadership, systems, and experiences influence how organizational culture evolves.
Why it matters: AI will not simply change how organizations work. It will change how organizational culture is expressed.
Cultural gravity
Cultural gravity is the invisible force that pulls people toward established or newly introduced norms, functions, tools, behaviors, and ways of working within an organization.
Why it matters: Sustainable transformation requires adjusting the source of the gravitational pull, not merely changing behavior.
Trust transfer
Trust transfer is the process through which credibility, confidence, and belief move from a trusted individual, group, experience, or institution to a new idea, behavior, technology, or initiative.
Why it matters: People rarely adopt change because they are instructed to. They adopt change because trusted peers, leaders, and evidence reduce uncertainty and intellectual friction.
<Link to the trust transfer model>
Behavior activation
Behavior Activation is the process of creating the conditions, experiences, motivations, and incentives that encourage individuals to take meaningful action toward a desired behavior.
Rather than attempting to force change through mandates, Behavior Activation focuses on reducing friction, increasing relevance, and creating opportunities for people to voluntarily engage.
Why it matters: Awareness does not create change and understanding does not create change, behavior creates change. Organizations often invest heavily in communication and training but fail to activate behavior. Sustainable transformation occurs when people move from knowing to doing.
Workforce activation
Workforce activation is the scaled rollout of a mutually advantageous initiative that aligns organizational objectives with employee value and participation. Or behavior activation at scale.
Why it matters: Lasting change requires participation, not compliance.
Architects of the edge
Architects of the Edge are individuals who emerge during periods of environmental transition and develop the capabilities, judgment, adaptability, and systems thinking required to design the next generation of organizations. They are not defined by title, function, or hierarchy, but by their ability to translate emerging technologies, human capability, and organizational knowledge into new operating models, workflows, and forms of value creation.
Why it matters: Every major shift in technology creates a new class of builders. During periods of disruption, organizations naturally reward different capabilities and behaviors. Architects of the Edge are the people who learn to operate effectively in the new environment before it becomes the norm. They become the designers of future systems, the creators of new organizational intellectual property, and the builders of the environments in which others will work. Organizations that identify and develop these individuals gain a disproportionate advantage because they are cultivating the people most capable of helping them adapt, innovate, and rebuild.
Ecosystems of distributed intelligence
An Ecosystem of Distributed Intelligence is an interconnected environment where intelligence is created, shared, coordinated, and amplified across people, agents, teams, systems, organizational knowledge, and external resources. Within these environments, value is generated not by any individual source of intelligence, but by the effectiveness with which intelligence is aligned, coordinated, and applied toward meaningful outcomes.
Why it matters: Historically, organizations concentrated intelligence within experts, departments, and leadership structures. As intelligence becomes increasingly abundant, valuable knowledge and decision-making capability become distributed across people, intelligent agents, workflows, and systems. Success therefore depends less on possessing intelligence and more on organizing it. Organizations that learn to coordinate distributed intelligence effectively can adapt faster, innovate more consistently, and create greater value than organizations that rely on isolated expertise or centralized decision-making alone.
Operating ecosystem
An Operating Ecosystem is the environment through which an organization learns, adapts, makes decisions, and creates value. It consists of the people, intelligent agents, workflows, governance structures, incentives, knowledge systems, technologies, and cultural norms that collectively shape organizational behavior and performance.
Why it matters: Organizations do not operate through strategy alone. They operate through the environments they create. An operating ecosystem influences how quickly people learn, how effectively knowledge is shared, how decisions are made, and how innovation emerges. As intelligence becomes abundant, leadership responsibility increasingly shifts from managing work to intentionally designing the operating ecosystem in which work occurs. Organizations that design adaptive operating ecosystems create the conditions for capability development, collective cognition, performance compounding, and long-term organizational evolution.
Loyalty mechanics
Loyalty mechanics are the systems, experiences, incentives, initiatives, campaigns, and signals that encourage individuals to voluntarily move toward desired behaviors and outcomes.
Why it matters: People sustain behaviors they choose and they rarely sustain behaviors that are simply imposed.
Behavioral momentum
Behavioral momentum is the increasing likelihood that individuals or groups will continue adopting a behavior once visible evidence, social reinforcement, trust, and value have accumulated.
Why it matters: Momentum is often a stronger driver of adoption than mandates.
Performance compounding
Performance Compounding is the accelerating effect that occurs when human capability, AI capability, workflow refinement, learning, and experience continuously reinforce one another over time.
Each improvement increases the value of future improvements, creating a cumulative effect that expands individual and organizational performance beyond what any single advancement could achieve independently.
Why it matters: Traditional productivity gains are often linear. Performance compounding is exponential. Organizations that intentionally combine human development, intelligent systems, and continuous improvement create advantages that become increasingly difficult for competitors to replicate.
Cycle of influence
The Cycle of Influence is a model describing how belief, behavior, evidence, trust, and adoption reinforce one another to create scalable organizational change and sustainable momentum over time.
Why it matters: Transformation becomes sustainable when influence becomes self-reinforcing.
The cultural ladder
The Cultural Ladder describes the progression individuals follow as they move from awareness to influence during organizational change.
Stages:
Aware
Curious
Participant
Practitioner
Influencer
Why it matters: Organizations do not transform all at once—individuals progress through predictable stages of engagement and adoption.
Moral Operating System (Moral OS)
A Moral Operating System is the collection of principles, beliefs, incentives, and decision-making frameworks that guide how an organization utilizes relationships, uses technology, and exercises intelligence and power.
Why it matters: The AI era is not merely a technological transition, it is also a moral one.
Stewardship of abundant intelligence
Stewardship of abundant intelligence is the responsibility to govern, direct, and apply increasingly accessible intelligence in ways that benefit people, organizations, and society.
Why it matters: As intelligence becomes abundant, responsibility becomes increasingly important.
Agent ecology
Agent Ecology describes the interconnected environment in which humans, intelligent agents, workflows, systems, and external resources interact to create value.
Why it matters: The future of work will be shaped not by individual agents, but by ecosystems of coordinated intelligence.
Agentic economy
An Agentic Economy functions in an ecosystem where humans and intelligent agents interact, exchange information, make decisions, and generate value within a shared environment.
Why it matters: As agents become participants in organizational systems, new forms of value creation, coordination, and work will emerge.
Human + Agent operating model
A Human + Agent Operating Model is an organizational design where humans and intelligent agents work together as integrated contributors to achieve shared objectives.
Why it matters: The future organization will not be built around humans alone or agents alone. It will be built around their combined capabilities.
Power individual contributor (Power IC)
A Power Individual Contributor is a highly capable individual who uses technology, intelligence, influence, and specialized expertise to create outsized impact without relying on formal organizational hierarchy.
Why it matters: The AI era will increasingly reward individuals who can orchestrate intelligence rather than simply perform tasks.
Rebuilding on the edge
Rebuilding on the edge is the practice of redesigning organizations, teams, workflows, and operating models around the realities of abundant intelligence rather than the assumptions of intelligence scarcity.
Why it matters: The most successful organizations will not simply add AI to existing systems. They will rethink what becomes possible when intelligence is available everywhere.
Organizational evolution
Organizational Evolution is the continuous adaptation of culture, infrastructure, behaviors, capabilities, and operating models in response to changing environmental conditions.
Why it matters: Organizations that intentionally evolve are more resilient than those that merely react.
Innovation capital
Innovation Capital is the accumulated capability of an organization to generate, test, scale, and sustain new ideas, behaviors, technologies, and business models.
Why it matters: Innovation is not a single event, it is an asset that compounds over time.
Adaptation velocity
The rate at which individuals, teams, or organizations learn, accept, integrate, and operationalize environmental change.
Why it matters:Organizations do not compete on AI adoption, they compete on adaptation velocity. AI tools can be purchased, but competitive advantage emerges from how quickly people adapt their behaviors, workflows, decision-making, and capabilities to new environments.
Cognitive elevation
The process through which humans operate at higher levels of abstraction, judgment, creativity, and problem framing by delegating lower-level cognitive tasks to intelligent systems.
Why it matters: AI does not simply automate work, it changes where humans spend their cognitive effort. As intelligent systems assume greater responsibility for information retrieval, synthesis, and routine execution, humans gain the capacity to focus on exploration, meaning-making, creativity, and strategic decision-making.
Collective Cognition
The shared process through which knowledge is created, refined, remembered, and applied across a system.
Why it matters: Organizational intelligence emerges not from what individuals know, but from how knowledge moves, evolves, and compounds throughout a network of people and intelligent systems.