Your workforce may have access to AI tools while people remain unsure what information to provide, how to check an answer or which tasks are worth trying. Those are practical questions to work through before relying on the output.
Kendall AI Literacy & Foundations gives your workforce a shared starting point. The programme introduces the Seven Principles of AI Leadership, role-specific context and problem identification. Participants practise applying these ideas to their own work; the value of that application needs to be checked in the setting where it will be used.
What Participants Receive
At the individual level:
- An introduction to AI through the Seven Principles of AI Leadership
- Practice with prompting and a context block describing their role
- A prompt for a personal AI assistant to use with that role context
At the team level:
- Shared vocabulary for discussing AI use across roles
- A basis for discussing what context a task needs and how to check its output
- A common approach to describing workplace problems
At the organisational level:
- Candidate business problems contributed by people doing the work
- Role context that can inform further organisational context work
- A starting point for agreeing practices and responsibility across departments
What the Programme Covers
Part One: Demystifying AI and the Seven Principles
A clear introduction to how AI works and the Seven Principles of AI Leadership. Participants use these principles to discuss AI in their own roles. Specific tools, capabilities and limitations still need to be reassessed as they change.
Part Two: Contextual AI Application
Participants practise prompting, describe their role in a context block and receive a prompt for a personal AI assistant. This is an exercise in providing useful context and instructions, not model training or a production deployment.
Before relying on an assistant in operational work, agree which information may be used, who checks the output and who maintains the context. Check the result against the task and follow the review and correction effort it creates. An agent permitted to change a system needs technical permissions, verification and recovery controls as well as instructions. Completing the exercise does not establish a productivity gain or readiness to act on behalf of the organisation.
Part Three: Business Problem Identification
A structured process for describing business challenges from frontline experience. Participants contribute candidate problems for further investigation. Their observations are inputs to that investigation; they do not by themselves validate an opportunity or show that AI is the appropriate response.
Who This Programme Is For
Enterprise workforces across all roles, departments, and industries — whether teams are beginning their AI journey or seeking to close the gap between tool access and actual value.
Relevant starting points include:
- Leadership aligned, teams unsure: a strategy exists, but people need a practical basis for applying it
- Tool familiarity without evidence of value: teams can use AI features but cannot yet tell whether the work improves
- Informal use without shared practices: people use AI but expectations for context, checking and responsibility are unclear
Format
Live and interactive sessions with async support available. The programme is designed for collaborative group learning, using real organisational challenges as the working material.
How AI Literacy & Foundations Fits Into the Kendall Framework
AI Literacy & Foundations is the workforce foundation of the Kendall Framework. The AI Literacy Workshop introduces the core concepts; this programme adds role-specific context work and candidate problem identification. Confirm the course format and activities when arranging your cohort.
The Kendall Framework connects:
- AI Executive Alignment: examine organisational AI strategy and priorities
- AI Literacy & Foundations (this programme): practise role context, prompting and problem identification
- AI Literacy Workshop: introduce core concepts
- Context 360: investigate and document the context of operational work
- AI Operations: apply and maintain context for operational AI use
Getting Started
Discuss the roles involved, the work people need to do and how they use AI today. You do not need an established measurement baseline to begin that conversation.
Next steps:
- Discuss your needs: identify the participants and relevant workplace examples
- Agree the cohort: confirm the format, activities, information boundaries and price
- Plan how to use the learning: name who will review the work and what evidence would help decide whether to continue, adapt or stop
Training participation shows activity. Assess value through the work people and customers rely on, including correctness, elapsed time and checking or correction passed to others.