AyEye Workforce · Pathways

Pathways

Connect AI to work design, people, capability and responsible change. Follow a route that fits the decisions you actually make.

Reviewed 15 October 2026 · Editorial edition 1.0 · Manually maintained

Choose your role. Then choose your depth.

New to AI, even if you manage a team? Start with the Beginner route. Team leader and Change practitioner routes build on those foundations; your job title does not require you to skip them.

These routes have different sequences, cases and outputs. Explore and Apply change the extent of practice within a route, not the learner’s role. Study times are LecXie allocations, not video runtimes or evidence of time spent.

Beginner

Workforce AI foundations

A one-page proposal for a bounded workforce pilot.

Before this: No AI background required. Work from task to evidence to action.

Understand AI at work
Judge a workplace claim
Protect people and information
Redesign a task
Build capability through practice
Run a measured pilot

Suggested Explore 45 min · Apply 270 min. Optional depth separate.

Open this route →

Team leader

Lead people through an AI-assisted workflow

A team working agreement covering ownership, fairness, coaching and review.

Before this: A real or hypothetical team workflow; AI/evidence basics assumed.

Make the handoffs explicit
Inspect who gets the opportunities
Protect time to learn and review
Review team outcomes, not adoption

Suggested Explore 45 min · Apply 120 min. Optional depth separate.

Open this route →

Change practitioner

Design a workforce change that can learn

A change stewardship brief with participation, dependencies, evaluation and renewal.

Before this: Experience of a change project; complete the beginner route if AI basics are unfamiliar.

Map participation before the change
Trace capability dependencies
Design an evaluation with affected groups
Keep change reversible and knowledge current

Suggested Explore 45 min · Apply 120 min. Optional depth separate.

Open this route →

A learning journey map, separate from the knowledge map. Colour and text identify role lanes. Solid blocks are core stops; dashed branches are optional. Shared resource labels reveal overlap, not equivalence of whole routes.

Beginner

Workforce AI foundations

Explore 45 min · Apply 270 min

Understand AI at workNot marked explored3Blue1Brown · Grant Sanderson, The Open University · OpenLearn
Judge a workplace claimNot marked exploredHarvard Business School AI Institute
Protect people and informationNot marked exploredNIST, Information Commissioner’s Office · UK
Redesign a taskNot marked exploredInternational Labour Organization
Build capability through practiceNot marked exploredOECD
Run a measured pilotNot marked exploredHM Treasury · Evaluation Task Force

Optional deeper branchesElements of AI Ethics of AI What is generative AI?

Team leader

Lead people through an AI-assisted workflow

Explore 45 min · Apply 120 min

Make the handoffs explicitNot marked exploredIFOW · CIPD · University of Warwick, Harvard Business School AI Institute
Inspect who gets the opportunitiesNot marked exploredPartnership on AI, Information Commissioner’s Office · UK
Protect time to learn and reviewNot marked exploredThe Alan Turing Institute, OECD
Review team outcomes, not adoptionNot marked exploredHM Treasury · Evaluation Task Force

Optional deeper branchesGuidance on AI and data protection

Change practitioner

Design a workforce change that can learn

Explore 45 min · Apply 120 min

Map participation before the changeNot marked exploredThe Alan Turing Institute, Partnership on AI
Trace capability dependenciesNot marked exploredInternational Labour Organization, OECD
Design an evaluation with affected groupsNot marked exploredHM Treasury · Evaluation Task Force, Institute for the Future of Work
Keep change reversible and knowledge currentNot marked exploredNIST, Institute for the Future of Work

Optional deeper branchesImpact Evaluation of AI Interventions AI Fairness in Practice

Shared reading: explore once, reuse thoughtfully.

Navigating the Jagged Technological Frontier · Beginner / Team leader
AI Risk Management Framework · Beginner / Change practitioner
Guidance on AI and data protection · Beginner / Team leader
How might generative AI impact different occupations? · Beginner / Change practitioner
Bridging the AI skills gap · Beginner / Change practitioner / Team leader
Impact Evaluation of AI Interventions · Beginner / Change practitioner / Team leader
Shared Prosperity: job impact assessment · Change practitioner / Team leader
Engaging stakeholders in AI · Change practitioner / Team leader

Resources with the same ID share your self-reported explored mark across routes. A route’s different application activity still needs its own working note.

Equivalent foundation choices

Prefer text? OpenLearn’s introductory model sections can replace the 3Blue1Brown visual slot. The local examples activity and TensorFlow Playground are alternative ways to explore training/test behaviour; Playground is an optional deeper visual tool, not extra compulsory work.