SELF PERFORMANCEUSE
Use AI critically
and responsibly.
Human-Centric AI Readiness
AI changes the work. The human requirement remains.
Human-Centric AI Readiness develops the capability people need to work with AI effectively, critically and responsibly — while retaining judgement, accountability, adaptability and responsibility for outcomes.
CHANGING WORKADAPT
Respond as roles
and demands evolve.
Accountability
Responsibility
Human ownership remains
MANAGER PERFORMANCEACCOUNT
Remain accountable
for AI-enabled work.
LEADERSHIP IMPACTSHAPE
Shape responsible
organisational adoption.
Two complementary layers
Technical AI capability is necessary. It is not the whole of AI readiness.
People need to understand and use AI tools. They also need the Human-Centric capability to judge information, remain accountable, adapt behaviour, communicate effectively and make responsible decisions in AI-enabled work.
Technical / Digital AI Readiness
The knowledge and practical capability required to understand, access and use AI technology appropriately within work.
- Technology understanding and use
- Tool and workflow competence
- Data, process and digital practice
Human-Centric AI Readiness
The capability to apply relevant Human-Centric Skills effectively, critically and responsibly within AI-enabled work while retaining human judgement and accountability.
- Judgement and critical thinking
- Accountability and ownership
- Adaptability, communication and responsible leadership
Connected capability
AI can amplify both strengths and weaknesses in Human-Centric capability.
As AI increases the speed, scale and reach of information, decisions and actions, the quality of the human capability surrounding those activities can become more consequential.
Critical Thinking & Information Quality
Question assumptions, evaluate information and distinguish what is useful, reliable and relevant before acting.
Judgement & Decision
Bring context, experience, risk awareness and sound judgement to decisions supported or accelerated by AI.
Accountability & Ownership
Retain responsibility for contribution, decisions, quality and outcomes rather than transferring accountability to the technology.
Adaptability & Role Evolution
Recognise when AI changes the demands of a role and develop the capability required to perform effectively in the changed context.
Communication & Collaboration
Make AI-enabled work understandable, challengeable and usable through effective human communication and collaboration.
Change & Responsible Leadership
Shape adoption, behaviour and organisational practice so that AI strengthens capability, direction and agility responsibly.
These are illustrative connected capability areas. The precise Human-Centric priorities should be identified through Capability Navigation against the role, responsibility and AI-enabled work context.
Role-Evolution Gap
AI can change responsibility without changing the job title.
A role may remain nominally the same while AI changes how information is handled, how decisions are made, how work is coordinated and where human accountability sits.
Established work, decisions and accountabilities.
Technology changes speed, process, information or task allocation.
Judgement, accountability, adaptability or communication become newly important.
Capability demand moves ahead of the Human-Centric capability currently available.
Build relevant capability and apply it in the changed work context.
A changing role can create a readiness requirement even when there is no promotion.
Practical development routes
Two focused ways into Human-Centric AI Readiness.
The same underlying PERFORM architecture can be configured around the different Human-Centric demands experienced by people using AI and by those accountable for how AI-enabled work is managed and shaped.
Use AI effectively while retaining ownership of contribution.
Focus development around the human capability required to work critically, adaptively and responsibly with AI in day-to-day activity.
Critical thinkingInformation qualityJudgementAdaptabilityCommunicationOwnership
Remain accountable — and shape responsible organisational use.
Focus development around AI-enabled people, work, information, decisions, change and the wider leadership choices that determine organisational adoption.
AccountabilityDecision qualityPeople & teamsChange leadershipEthical legitimacyDirection & agility
Human-Centric AI Skills Courses
Turn AI readiness into focused development for the people doing and leading the work.
Two practical development routes connect Human-Centric AI Readiness with the different responsibilities of people using AI and those accountable for how AI-enabled work is managed and shaped.
Use AI effectively while retaining ownership of contribution.
Human-Centric AI Skills development for people working critically, adaptively and responsibly with AI in day-to-day activity.
Course information and accessView this course
Remain accountable — and shape responsible organisational use.
Human-Centric AI Skills development for leaders accountable for AI-enabled people, work, information, decisions, change and responsible organisational adoption.
Course information and accessView this course
Both course links open the Skillogy FutureSelf course information destination in a new tab.
Start with real work
Test Human-Centric AI Readiness where AI is changing performance.
Bring us a defined AI-enabled work challenge. Skillogy PERFORM™ can help identify the relevant Human-Centric capability, configure a focused development route, support workplace application and review the evidence of what changed.