AI Readiness & Future Skills

Prepare your workforce for the AI age.

TAP helps organizations assess the capabilities employees need to work effectively with AI, adapt to new workflows, and create value in changing roles.

AI readiness is not only about knowing AI tools. It also requires critical thinking, problem framing, data literacy, adaptability, ethical awareness, collaboration, and the ability to redesign work. TAP helps companies assess these capabilities through structured inventories, scenarios, cases, and simulations.

Competency Report

Participant · A. Yılmaz

78Overall Score
Problem Solving88
Decision Making76
Communication64
Prioritisation81
Adaptability58
Evidence-linkedHuman-reviewedBARS · BOS

Example competency areas

AI literacy

Understanding AI tools, use cases, outputs, and limitations relevant to the role.

Critical thinking

Questioning assumptions, evaluating evidence, and forming well-reasoned conclusions.

Data-informed decision-making

Using data and analytics to inform choices, even in ambiguous situations.

Learning agility

Adapting quickly to new information, tools, processes, and ways of working.

Ethical awareness

Recognising the ethical dimensions of using AI and data in work decisions.

Workflow redesign

Reimagining processes to work alongside AI and extract maximum value.

What's included

  • AI readiness competency frameworks
  • Structured self-assessment inventories
  • Scenario-based exercises
  • Case and simulation components
  • Individual and cohort-level reports
  • Reskilling prioritisation insights
  • Pre/post training measurement
  • Custom competency support for enterprise

Assess the skills your workforce needs next.